Post Graduate Diploma in Applied Statistics

 

Earn a Post Graduate Diploma from a premier institution and build skills for a successful career in data science.

By joining this Postgraduate Diploma program, you will be empowered with the statistical tools required to make data-driven decisions and advance your career in the fields of data science and applied statistics. You will also hone your skills with real-world data from governments and international organisations.

• Learn how to analyse, visualise, and present large data sets: You will benefit from a 360-degree view into how official data systems are built and learn scientific ways of collecting, analysing and presenting data.
• Select a specialised track: You will start with the foundations of statistics, economics, and computing skills, leading to a choice between two tracks - data analytics or official statistics.
• Gain job-ready applied skills: Develop experience with data analysis tools in popular coding platforms like Python and R. You will also acquire skills needed to build, interpret and improve official databases used in policy making.

JOIN: Post Graduate Diploma in Applied Statistics Indian Statistical Institute

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How will you benefit from this Post Graduate Diploma by ISI?

Learn from the Institution that works with the government and trains key officers of the Ministry :

Functioning under the Ministry of Statistics and Programme Implementation, ISI is a national institution that leads high-impact national projects involving very large data-sets and works very closely with the Government on various projects.

Prepare for the real-world by working with data from large government and international projects :

Work with open databases used in policy and decision-making across national public projects like the Census of India, National Coal Index (used by the Govt. of India in its auction process of coal mines), browser-based data capture technology for the NSSO survey and important crypto security projects.

Interact in live sessions with renowned, globally-recognised faculty :

Faculty at ISI include eminent scientists of global repute, whose contributions have been recognised with awards such as the Padma Shri, S. S. Bhatnagar Award and the Fellowship of Indian Academy of Science. They facilitate policy decisions by working with large datasets and train officers of the Indian Statistical Service.

Develop industry-ready skills and learn from accomplished experts :

You will get regular opportunities to interact with senior officers of the Indian Statistical Service with up to 40 years of experience. Learn from industry experts through live, interactive sessions and leverage insights to solve critical business challenges at the workplace.

Access potential job opportunities facilitated by ISI :

Through the placement committee led by an ISI faculty convenor, you will get the chance to showcase your skills to prospective employers after building your ‘Learner Skills’ profile. Placements for all ISI programmes are an entirely student-driven activity - there is no placement guarantee offered by ISI.

Receive exclusive career readiness support :

The career readiness program is designed to equip you with the essential skills and knowledge needed to thrive in today's competitive job market. You will receive exclusive access to networking opportunities, career workshops, sessions with industry experts, curated workplace success courses and mentorship from industry veterans.You will be equipped with the skills, connections, and knowledge needed to accelerate your career.

Gain access to an exclusive student community and alumni network :

1. Gain a global perspective to data science - 27% learners are studying from 15 different nations such as the USA, UK, Norway, Germany, Japan, Sweden, Australia, etc.

2. Learners have rich industry experience - 80%+ of the batch are working professionals seeking to advance their skills and career (36% have 10+ years of experience). 40% of the batch is 35+ years old.

3. Network with industry leaders - Many learners are senior professionals at large MNCs and PSUs such as Microsoft, IBM, Accenture, EY, Volvo, BlackRock, Tata Motors and Wipro.

ISI on-campus graduates consistently go on to succeed as data scientists, analysts, statisticians, researchers, policymakers, and more, and have taken roles with industry leaders such as Microsoft, Google, Dell, JP Morgan & Chase, KPMG, Amazon, Flipkart, Samsung, and others.

Explore enhanced flexibility features :

1. Payment flexibility - Choose to pay in instalments rather than paying for the entire program upfront to better plan and finance your education.
2. Self-paced learning - Complete your studies in up to 36 months at no additional cost - focus on your academic pursuits without compromising on your other commitments.
3. Classes that suit your schedule - Manage your work and studies better by attending classes in the evenings and on weekends.
4. Choose your specialisation - Choose amongst either data analytics or official statistics (or both), depending on your area of interest.

JOIN: Post Graduate Diploma in Applied Statistics Indian Statistical Institute

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Python Coding challenge - Day 124 | What is the output of the following Python Code?

 

Code:

class Circle:

    pass

Circle.pi = 3.14

print(Circle.pi)

Circle.pi = 3.1415

Answer and Solution:

The above code defines a simple class named Circle and assigns a value to its attribute pi. Here's a breakdown of the code:

class Circle:

    pass

This code declares a class named Circle with no attributes or methods. It's an empty class, indicated by the pass statement.

Circle.pi = 3.14

This line adds a class attribute pi to the Circle class and assigns the value 3.14 to it. In Python, you can dynamically add attributes to a class at runtime.

print(Circle.pi)

This line prints the value of the pi attribute of the Circle class, which is 3.14 as assigned in the previous line.

Circle.pi = 3.1415

This line updates the value of the pi attribute for the Circle class to 3.1415.

If you were to print the value of Circle.pi again after this line, it would now display 3.1415 instead of the initial value 3.14.

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Financial Theory with Python: A Gentle Introduction

 

Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.

Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the basics of financial economics. Written by the best-selling author of Python for Finance, Yves Hilpisch, Financial Theory with Python explains financial, mathematical, and Python programming concepts in an integrative manner so that the interdisciplinary concepts reinforce each other.

Draw upon mathematics to learn the foundations of financial theory and Python programming

Learn about financial theory, financial data modeling, and the use of Python for computational finance

Leverage simple economic models to better understand basic notions of finance and Python programming concepts

Use both static and dynamic financial modeling to address fundamental problems in finance, such as pricing, decision-making, equilibrium, and asset allocation

Learn the basics of Python packages useful for financial modeling, such as NumPy, pandas, Matplotlib, and SymPy

Hard Copy: Financial Theory with Python: A Gentle Introduction

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Python for Finance Kindle Edition

 

A beginner's guide for learning Python in the context of finance and economics. Ideal for undergraduate and graduate students who want to learn coding, but have no experience before. The book has easy to understand step-by-step instructions and plenty of exercises.

Hard Copy: Python for Finance Kindle Edition

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The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)

 

Become A Python Expert From Scratch!

Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range from machine learning, over computer networking to business applications.

In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert!

What You Will Learn:

Beginner Level:

• Basics of Programming with Python• Automation of Simple Processes• Programming of Modular Python Applications• Easy Transition to Other Languages (Java, C++ etc.)

Intermediate Level:

• Object-Oriented Programming• Network Programming• Penetration Testing with Python• Regular Expressions• Multithreading• XML Processing• Database Programming• Logging

Data Science:

• Analyzing and Processing Big Data• Statistical Calculations with Python• Visualization of Data• Working with NumPy, Matplotlib and Pandas

Machine Learning:

• Predicting Data with Machine Learning• Building Neural Networks with Tensorflow• Recognizing Handwritten Digits with Neural Networks• Applying Linear Models like Regression• K-Nearest-Neighbors Classification• K-Means Clustering• Support Vector Machines

Finance:

• Financial Analysis with Python• Analyzing and Graphing Stock Data• Plotting Trendlines• Predicting Share Prices with Machine Learning

Neural Networks:

• Generating Poetic Texts with Neural Networks• Predicting Sequential Data (Stocks, Weather etc.)• Processing Audio and Video Data• Recognizing Objects Like Horses, Cars and Trucks on Images• Understanding Recurrent Neural Networks• Understanding Convolutional Neural Networks

Computer Vision:

• Making unreadable texts readable again with thresholding• Extracting essential information out of images and videos• Edge detection• Template matching and feature matching• Movement detection in videos• Professional object recognition with OpenCV

Start Your Journey And Become A Python Expert With The Python Bible!

Hard Copy: The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision)

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Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis: A comprehensive guide to the implementation of Python in Financial Analysis

 

Reactive Publishing

Unlock the full potential of financial modeling with "Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis." This groundbreaking book is the ultimate guide for finance professionals eager to master the fusion of Excel’s user-friendly interface with Python's powerful computational abilities. Whether you're starting your journey in financial analysis or looking to sharpen your existing skills, this book is tailored to catapult your expertise to the forefront of the industry.

Dive into the rich, instructional content that begins with a foundational understanding of Excel and Python’s role in contemporary financial analysis, moving seamlessly into practical applications that will revolutionize your workflow. With a clear, step-by-step approach, you'll learn to structure models for clarity and precision, validate data to ensure accuracy, and document your work for transparency and reproducibility.

Each chapter unfolds new dimensions of Excel and Python, from basic operations to advanced techniques like machine learning and AI, ensuring you’re equipped for the future of finance. Real-world examples bring theory to life, offering hands-on experience in building dynamic, responsive financial models.

With this book, you'll discover:

A comprehensive overview of advanced Excel features and Python's role in financial modeling.

Techniques to enhance data integrity, perform rigorous validation, and ensure model transparency.

Best practices in model structure and design to optimize your analytical workflow.

The integration of Excel with Python for automation, data analysis, and predictive modeling.

Cutting-edge topics including machine learning, AI, and blockchain in financial modeling.

"Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis" is more than just a manual; it’s a mentorship journey. Prepare to be challenged and inspired as you elevate your financial modeling skills. Embrace the future of financial analysis with confidence—get your copy today and transform data into decisions.

This book isn't just an investment in your career; it's the blueprint for your future at the forefront of financial analysis. Join the ranks of finance professionals who are shaping the industry — one model at a time. Add to cart now and begin the journey that sets you apart.

Hard Copy: Advanced Excel for Financial Modelling: Integrating Python for Next-Level Analysis: A comprehensive guide to the implementation of Python in Financial Analysis

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Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition

Use modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems

Purchase of the print or Kindle book includes a free eBook in the PDF format

Key Features

Explore unique recipes for financial data processing and analysis with Python

Apply classical and machine learning approaches to financial time series analysis

Calculate various technical analysis indicators and backtest trading strategies

Book Description

Python is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you will explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, as well as modern machine learning and deep learning solutions.

You will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you will also learn how to use Streamlit to create elegant, interactive web applications to present the results of technical analyses.

Using the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.

What you will learn

Preprocess, analyze, and visualize financial data

Explore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models

Uncover advanced time series forecasting algorithms such as Meta's Prophet

Use Monte Carlo simulations for derivatives valuation and risk assessment

Explore volatility modeling using univariate and multivariate GARCH models

Investigate various approaches to asset allocation

Learn how to approach ML-projects using an example of default prediction

Explore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet

Who this book is for

This book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.

Working knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.

Table of Contents

Acquiring Financial Data

Data Preprocessing

Visualizing Financial Time Series

Exploring Financial Time Series Data

Technical Analysis and Building Interactive Dashboards

Time Series Analysis and Forecasting

Machine Learning-Based Approaches to Time Series Forecasting

Multi-Factor Models

Modelling Volatility with GARCH Class Models

Monte Carlo Simulations in Finance

Asset Allocation

Backtesting Trading Strategies

Applied Machine Learning: Identifying Credit Default

Advanced Concepts for Machine Learning Projects

Deep Learning in Finance 

Hard Copy: Python for Finance Cookbook: Over 80 powerful recipes for effective financial data analysis, 2nd Edition

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The Full Stack

 

What you'll learn

Build a Django app

 Use the full stack

Configure an environment

Join Free: The Full Stack

There are 5 modules in this course

As you prepare for your role in back-end development, practice bringing together multiple skills to build a full-stack Django app. You’ll start by setting up an environment for a local practical project, and refactoring the front and back-ends of an existing application. You will then have the opportunity to create the front and back-ends of a new application using your full-stack developer skills.

By the end of this course you will be able to:

- Explain common concepts related to full stack development

- Use HTML, CSS and JavaScript to develop well-structured, interactive and responsive websites

- Build a full stack application using Django that stores its data in models on a MySQL database and updates its pages with forms and API endpoints

- Describe the different environments that web applications are deployed to

To complete this course you will need previous experience with back-end development, Python, version control, databases, Django web framework and APIs.

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HTML and CSS in depth

 

What you'll learn

Create a simple form with a responsive layout using HTML5 and CSS

Create a responsive layout using CSS 

Create a UI using Bootstrap

Implement debugging tools

Join Free: HTML and CSS in depth

There are 3 modules in this course

In this course, you’ll use software development tools like HTML to build attractive web pages that work well—and you’ll use structured semantic data to control how websites appear to the end user. 

You will then dive deeper into CSS by applying increasingly specific styling to various elements. You’ll learn to use Bootstrap’s grid system to create layouts and work with components and themes. Finally, you’ll explore debugging and learn how it can be utilized to banish common front-end errors.

By the end of this course you will be able to:

• Create a simple form with a responsive layout using HTML5 and CSS

• Create a responsive layout using CSS 

• Create a UI using Bootstrap

• Implement debugging tools

This is a beginner course for learners who would like to prepare themselves for a career in front-end development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to get started with coding.

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Front-End Developer Capstone

 

What you'll learn

Design and style a responsive User Interface (UI)

Demonstrate clean and bug free coding

Use React components to create multiple views

Create a website front-end using React JS and JavaScript

Join Free: Front-End Developer Capstone

There are 4 modules in this course

The Capstone project enables you to demonstrate multiple skills from the Certificate by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. 

This course will test your knowledge and understanding, and provide you with a platform to show off your new abilities in front-end web development using React. During this course, you will be guided through the process of building an app, combining all the skills and technologies you've learned throughout this program to solve the problem at hand. 

On completion of the Capstone project, you’ll have a job-ready portfolio that you can show to recruiters, demonstrate during interviews and impress potential employers.

To complete this course, you will need front-end developer experience.  Additionally, it always helps to have a can-do attitude!

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Introduction to Front-End Development

 

What you'll learn

Distinguish between front-end, back-end, and full-stack developers.

Create and style a webpage with HTML and CSS.

The benefits of working with UI frameworks.

Join Free: Introduction to Front-End Development

There are 4 modules in this course

Welcome to Introduction to Front-End Development, the first course in the Meta Front-End Developer program.  

This course is a good place to start if you want to become a web developer. You will learn about the day-to-day responsibilities of a web developer and get a general understanding of the core and underlying technologies that power the internet. You will learn how front-end developers create websites and applications that work well and are easy to maintain. 

You’ll be introduced to the core web development technologies like HTML and CSS and get opportunities to practice using them. You will also be introduced to modern UI frameworks such as Bootstrap and React that make it easy to create interactive user experiences. 

By the end of the course, you will be able to: 

- Describe the front-end developer role 

- Explain the core and underlying technologies that power the internet 

- Use HTML to create a simple webpage 

- Use CSS to control the appearance of a simple webpage 

- Explain what React is 

- Describe the applications and characteristics of the most popular UI frameworks 

For the final project in this course, you will create and edit a webpage using HTML and the Bootstrap CSS framework. Using a responsive layout grid, you will construct a responsive webpage containing text and images that looks great on any size screen. 

This is a beginner course intended for learners eager to learn the fundamentals of web development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.

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Capstone (React App)

 

What you'll learn

Designing and styling a responsive User Interface (UI) 

Demonstrating clean and bug free coding 

Using React components 

Creating a cross-platform mobile app using React Native

Join Free: Capstone (React App)

There are 3 modules in this course

This course enables you to demonstrate multiple skills from this program by solving an authentic real-world problem. Each module includes a brief recap of, and links to, content that you have covered in previous courses in this program. The course Capstone project will test your knowledge and understanding in mobile development using React Native. 

To complete this course, you will need React Native experience.  

During this course, you will be guided through the process of building an app, combining all the skills and technologies you've learned throughout this program to solve the problem at hand. 

By the end of this course, you will be able to demonstrate the following skills:

 - Set up a development environment for working on a React Native project

 - Set up a remote GitHub repository to which you can commit local project changes

 - Apply UX and UI principles to guide creation of a wireframe and prototype for your app

 - Develop screens for a React Native app featuring various components and interactive elements

 - Design an onboarding process for welcoming new users to your app

 - Set up a navigation flow to enable users to move between screens in your app

 - Fetch data from a remote server and store it in a database, and then render it in your app

 - Implement data filtering functionality to enable users to customize information

 - Evaluate the work of your peers and provide informed and constructive feedback

On completion of the Capstone project, you’ll have a job-ready portfolio that you can show to recruiters, demonstrate during interviews and impress potential employers.

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React Native

 

Build your subject-matter expertise

This course is available as part of 

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

Join Free: React Native

There are 5 modules in this course

React Native is an open-source framework for building cross-platform applications (apps) using React and the platform’s native capabilities. In this course, you will move from the basics of React to a more advanced implementation using React Native. You’ll review a wide range of different React components and ways of styling them. And you’ll get to practice using different mobile methods of interactivity with React Native.

Some of the basics skills you will learn include:

• Building a single-page React Native app and styling it using basic components

• Building large lists and configuring user inputs within a React Native app

• Using the Pressable component to build buttons and other clickable areas

• Setting up an app with React Navigation and moving between screens

You’ll gain experience with the following tools and software: 

• React

• React Native

• Front End development languages (HTML, CSS and JavaScript)

• JSX

• Code editing programs, such as Expo and Visual Studio Code

This course is for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you will need foundational knowledge of React basics, internet navigation skills and an eagerness to code.

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Advanced React

 

What you'll learn

Create robust and reusable components with advanced techniques and learn different patterns to reuse common behavior

Interact with a remote server and fetch and post data via an API

Seamlessly test React applications with React Testing Library

Integrate commonly used React libraries to streamline your application development

Join Free: Advanced React

There are 4 modules in this course

Learn how to use more advanced React concepts and features, become proficient in JSX, and confidently test your applications.

You’ll examine different types of React components and learn various characteristics and when to use them. You’ll dig into more advanced hooks and create your own. You’ll look into building forms with React. You’ll explore component composition and new patterns, such as Higher Order Components and Render Props. You’ll create a web application that consumes API data and get familiar with the most commonly used React framework integrations, tools, and testing techniques.

By the end of this course, you will be able to:

• Render lists and form components efficiently in React.

• Lift shared state up when several components need the updated data.

• Leverage React Context to share global state for a tree of components.

• Fetch data from a remote server.

• Use advanced hooks in React, and put them to use within your application.

• Build your own custom hooks.

• Understand JSX in depth.

• Embrace component composition techniques

• Use advanced patterns to encapsulate common behavior via Higher Order Components and Render Props.

• Test your React components.

• Build a portfolio using React.

You’ll gain experience with the following tools and software: 

• React.js

• JSX

• React

• HTML, CSS, and JavaScript 

• VSCode

You will be able to leverage the potential of this course to develop new skills, improve productivity, act effectively with data and boost your career.

To take this course, you should understand the basics of React, HTML, CSS, and JavaScript. Additionally, it always helps to have a can-do attitude!

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Python Coding challenge - Day 123 | What is the output of the following Python Code?

 

Code:

try:

    print("1")

except:

    print("2")

print("3")

Solution and Explanation:

The given code contains a try and except block, which are used for exception handling in Python. In this specific case, the try block contains a print("1") statement, and the except block contains a print("2") statement. Finally, there is a print("3") statement outside both blocks.

Here's how the code works:

The code attempts to execute the statements inside the try block.

If an exception occurs during the execution of the try block, the code jumps to the except block and executes the statements inside it.

If there is no exception in the try block, the except block is skipped.

In this case, since there are no statements in the try block that would raise an exception, the code will print "1" and then move on to the print("3") statement. Therefore, the output will be:

1 3

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React Basics

 

What you'll learn

Use reusable components to render views where data changes over time

Organize React projects to create more scalable and maintainable websites and apps

Use props to pass data between components. Create dynamic and interactive web pages and apps

Use forms to allow users to interact with the app. Build an application in React

Join Free: React Basics

There are 4 modules in this course

React is a powerful JavaScript library that you can use to build user interfaces for web and mobile applications (apps). In this course, you will explore the fundamental concepts that underpin the React library and learn the basic skills required to build a simple, fast, and scalable app.

By the end of this course, you will be able to:

• Use reusable components to render views where data changes over time

• Create more scalable and maintainable websites and apps 

• Use props to pass data between components 

• Create dynamic and interactive web pages and apps

• Use forms to allow users to interact with the web page 

• Build an application in React

You’ll gain experience with the following tools and software: 

• React.js

• JSX

• React

• HTML, CSS and JavaScript 

• VSCode

You will be able to leverage the potential of this course to develop new skills, improve productivity, act effectively with data and boost your career.

This is a beginner course for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you do not need prior development experience, only basic internet navigation skills and an eagerness to get started with coding.

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Foundations of Project Management

 

What you'll learn

Describe project management skills, roles, and responsibilities across a variety of industries

Explain the project management life cycle and compare different program management methodologies 

Define organizational structure and organizational culture and explain how it impacts project management.

Join Free: Foundations of Project Management

There are 4 modules in this course

This course is the first in a series of six to equip you with the skills you need to apply to introductory-level roles in project management. Project managers play a key role in leading, planning and implementing critical projects to help their organizations succeed. In this course, you’ll discover foundational project management terminology and gain a deeper understanding of  the role and responsibilities of a project manager. We’ll also introduce you to the kinds of jobs you might pursue after completing this program. Throughout the program, you’ll learn from current Google project managers, who can provide you with a multi-dimensional educational experience that will help you build your skills  for on-the-job application. 

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to:

- Define project management and describe what constitutes a project.

- Explore project management roles and responsibilities across a variety of industries.

- Detail the core skills that help a project manager be successful.

- Describe the life cycle of a project and explain the significance of each phase.

- Compare different program management methodologies and approaches and determine which is most effective for a given project.

- Define organizational structure and culture and explain how it impacts project management. 

- Define change management and describe the role of the project manager in the process.

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Project Execution: Running the Project

 

What you'll learn

Implement the key quality management concepts of quality standards, quality planning, quality assurance, and quality control.

Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. 

Discuss the stages of team development and how to manage team dynamics.

Describe the steps of the closing process and create project closing documentation.

Join Free: Project Execution: Running the Project

There are 6 modules in this course

This is the fourth course in the Google Project Management Certificate program. This course will delve into the execution and closing phases of the project life cycle. You will learn what aspects of a project to track and how to track them. You will also learn how to effectively manage and communicate changes, dependencies, and risks. As you explore quality management, you will learn how to measure customer satisfaction and implement continuous improvement and process improvement techniques. Next, you will examine how to prioritize data, how to use data to inform your decision-making, and how to effectively present that data. Then, you will strengthen your leadership skills as you study the stages of team development and how to manage team dynamics. After that, you will discover tools that provide effective project team communication, how to organize and facilitate meetings, and how to effectively communicate project status updates. Finally, you will examine the steps of the project closing process and how to create and share project closing documentation. Current Google project managers will continue to instruct and provide you with hands-on approaches for accomplishing these tasks while showing you the best project management tools and resources for the job at hand.

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to: 

 - Identify what aspects of a project to track and compare different tracking methods.

 - Discuss how to effectively manage and communicate changes, dependencies, and risks.

 - Explain the key quality management concepts of quality standards, quality planning, quality assurance, and quality control.

 - Describe how to create continuous improvement and process improvement and how to measure customer satisfaction.

 - Explain the purpose of a retrospective and describe how to conduct one. 

 - Demonstrate how to prioritize and analyze data and how to communicate a project’s data-informed story. 

 - Identify tools that provide effective project team communication and explore best practices for communicating project status updates.

 - Describe the steps of the closing process for stakeholders, the project team, and project managers.

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Agile Project Management

 

What you'll learn

Explain the Agile project management approach and philosophy, including values and principles.

Discuss the pillars of Scrum and how they support Scrum values.

Describe the five important Scrum events and how to set up each event for a Scrum team.

Explain how to coach an Agile team and help them overcome challenges.

Join Free: Agile Project Management

There are 4 modules in this course

This is the fifth course in the Google Project Management Certificate program. This course will explore the history, approach, and philosophy of Agile project management, including the Scrum framework. You will learn how to differentiate and blend Agile and other project management approaches. As you progress through the course, you will learn more about Scrum, exploring its pillars and values and comparing essential Scrum team roles. You will discover how to build, manage, and refine a product backlog, implement Agile’s value-driven delivery strategies, and define a value roadmap. You will also learn strategies to effectively organize the five important Scrum events for a Scrum team, introduce an Agile or Scrum approach to an organization, and coach an Agile team. Finally, you will learn how to search for and land opportunities in Agile roles. Current Google project managers will continue to instruct and provide you with the hands-on approaches, tools, and resources to meet your goals.

Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary.

By the end of this course, you will be able to: 

 - Explain the Agile project management approach and philosophy, including values and principles.

 - Explain the pillars of Scrum and how they support Scrum values.

 - Identify and compare the essential roles in a Scrum team and what makes them effective.

 - Build and manage a Product Backlog and perform Backlog Refinement.

 - Describe the five important Scrum events and how to set up each event for a Scrum team.

 - Implement Agile’s value-driven delivery strategies and define a value roadmap.

 - Explain how to coach an Agile team and help them overcome challenges.

 - Conduct a job search for an Agile role and learn how to succeed in your interview.

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Full Stack Web Development For Beginners: Learn Ecommerce Web Development Using HTML5, CSS3, Bootstrap, JavaScript, MySQL, and PHP

 

Note: This work is revised today (04 November 2022) to provide new instructions on installing AMPPS (version 4.3) and accessing the phpMyAdmin interface which now requires a username and password.

This book is written for absolute beginners who want to become full-stack web application developers. To become a professional full-stack web developer you have to put on many hats. HTML5, CSS3, Bootstrap, JavaScript, MySQL, and PHP are the core technologies that you must be acquainted with to develop moderate data-driven web applications. All these technologies are voluminous and you need ample time to learn each one of them.

In this fast-changing technological world, no one has time to go through bulky books on these core technologies. With so many web technologies out there in the market, novices are confused and do not have enough time to evaluate these technologies to decide what to pick for their career and where to start. Keeping aside the least utilized features, I've written this book to focus on the more operational areas of these technologies that act as the first stepping stone and will provide you with a solid jump-start into the exciting world of web development. This book is meant to help you learn web development quickly by yourself. It follows a tutorial approach in which hands-on exercises, augmented with illustrations, are provided to teach you web application development in a short period of time. Once you get grips on these core web development technologies through this book, you will be able to easily set the destination for your future.

With uncountable sites and freely available material, this book is written due to the following reasons:

Assemble all scattered pieces in one place. This volume contains HTML5, CSS3, JavaScript, Bootstrap, PHP and MySQL. Sequential instructions are provided to download and install the required software and components to set up a complete development environment on your own pc.

Focus on inspiring practical aspects of these web technologies.

Last but not least, move novices gradually right from creating an HTML file with a text editor, through learning HTML, CSS, JavaScript, Bootstrap, MySQL, and PHP all the way to creating and deploying a professional e-commerce website that comprises static and dynamic pages.

From web introduction to hands-on examples and from website designing to its deployment, this book surely is a complete resource for those who know little or nothing about professional web development.

Hard Copy: Full Stack Web Development For Beginners: Learn Ecommerce Web Development Using HTML5, CSS3, Bootstrap, JavaScript, MySQL, and PHP

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Python Programming for Beginners: The Complete Guide to Mastering Python in 7 Days with Hands-On Exercises – Top Secret Coding Tips to Get an Unfair Advantage and Land Your Dream Job!

 

Are you looking for new job opportunities to improve your work-life balance but you feel stuck in your current career?
Do you barely have time for your hobbies, your family or simply for yourself?

People believe that once you start a career you can only grow vertically. This self-limiting belief only narrows the true horizons of our careers.

But fortunately, in the post-pandemic age, the number of companies looking for remote and non-remote programmers has literally blown.

And that's where PYTHON, the most in-demand programming language in the world, comes in!

The good news is that there is no need to waste time and effort on high-level academic texts, needlessly expensive online courses, or videos and tutorials that are too technical for beginners who are just starting out.

Created with the beginner in mind, Python Programming for Beginners offers an innovative approach that is based on three well-defined principles:

1. Synthesis: topics are carefully selected to give you broad exposure to Python without overwhelming you

2. Simplicity: each concept is broken down into simple steps so that you can learn as many topics as possible in the shortest possible time

3. Practicality: unlike most books, the outputs of ALL the examples are provided immediately, so you don't have to wait to test them on your computer.

Here is a tiny fraction of what you will learn:

A brief introduction to Python, its history, and its main applications to show its huge potential and how learning it can benefit you

How to install Python and choose the best distribution, whether on Windows or Mac, to know everything you need to start, including the best IDE

The Object-Oriented Programming (OOP) paradigm and why you must know it, including objects, methods, and inheritance, presented logically and sequentially to help you use this user-friendly language and its simple syntax quickly and easily

Each chapter has practical codes and exercises to test your skills

The best Python programming techniques to maximize script efficiency, thanks to a complete section

Github, pip, Virtual Environment, and Unit Testing, to get a 360-degree view of advanced programming and easily break into it

The SOLUTIONS to the exercises (but be sure to look at them only after first trying to solve the exercises on your own)

BONUS: Python Interview Questions and Answers to crack the interview (scan the QR code inside the book)

Hard Copy: Python Programming for Beginners: The Complete Guide to Mastering Python in 7 Days with Hands-On Exercises – Top Secret Coding Tips to Get an Unfair Advantage and Land Your Dream Job!

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QA Automation with Python: A complete course to begin your career in Software Testing

 

Jumpstart your career in software testing and test automation with "QA Automation with Python: A complete course to begin your career in Software Testing." This comprehensive resource is designed specifically for aspiring professionals seeking to enter the dynamic world of software testing and automation using the powerful Python programming language.

With a balanced mix of essential concepts, practical examples, and hands-on exercises, this book is perfect for those who are new to the field and eager to learn the ins and outs of software testing and test automation.

In this beginner-friendly guide, you'll explore:

Python programming fundamentals to build a solid foundation for test automation

Step-by-step instructions for setting up the Python environment tailored for test automation

Web automation using Selenium for seamless browser interaction

Working with web APIs and JSON data to streamline data-driven testing

Web scraping techniques using Beautiful Soup for extracting valuable information

Crafting robust automated test suites for various application types

Best practices in test automation to ensure reliable and maintainable tests

Advanced topics in Python test automation to elevate your testing skills

An end-to-end test automation project to apply your newfound knowledge in a real-world scenario

Embark on your journey to mastering software testing and test automation with this essential guide and unlock new opportunities in the ever-evolving tech industry.

Hard Copy: QA Automation with Python: A complete course to begin your career in Software Testing

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Enterprise Automation with Python: Automate Excel, Web, Documents, Emails, and Various Workloads with Easy-to-code Python Scripts (English Edition)

 

500% improvement in productivity by automating tedious chores

Key Features

● Contains numerous automation projects, including excel sheets, word documents, pdf files, websites, and messenger.

● Provides a strong understanding of Automation, its fundamentals, and strategies to implement it across organizations.

● Nurtures various techniques to improvise operational efficiency around repetitive business processes.

Description

Written by ZappyAI's founder, this book gives real-world examples of how readers can implement automation in their businesses and business-as-usual tasks. Through a series of real-world examples and live demonstrations, this book shows how to automate various tasks using Python scripts.

This book gives solutions to everyday automation needs and repetitive tasks at work every day. Readers will be able to discover the most typical business process that can be automated and write simple Python scripts to turn them automated. This book will teach you how to create, read, change, and extract data from Excel documents using Python programming. Readers can extract data from websites, PDF documents, Gmail, Outlook, and WhatsApp chats. Text extraction from photos and scanned documents is also smartly accomplished in this book.

The final section will examine techniques for extending your Python scripting skills and constructing complicated end-to-end process automation. Throughout the book, readers will be utterly captivated by how to automate their tedious tasks and enhance their organisations' productivity by 500 percent.

What you will learn

● Learn to write automation scripts by learning how to use different Python scripts.

● Find out how to look at the business process to automate it.

● Create, read, edit, and extract data from spreadsheets, documents, and PDFs.

● Control mouse and keyboard activities, as well as automate several desktop apps.

● Examine strategies for automating the downloading and extraction of data from the Internet and websites.

● Organize the real-time transfer and reading of Gmail, Outlook, and WhatsApp messages.

Who this book is for

Software Engineers, Business Analysts, Automation Engineers, QA Engineers, and anyone who wants to simplify and automate their tedious work with simple yet powerful Python scripts. Readers with little or no technical experience can also use the strategies discussed in this book to automate day-to-day tasks.

Table of Contents

1. Setting up the automation environment

2. Fundamentals of Python

3. Automation mindset – Python as a tool for automation

4. Automating Excel-based tasks

5. Automating Web-based tasks

6. Automating File-based tasks

7. Automating Email, Messenger Applications and Messages

8. GUI - Keyboard and Mouse Automation

9. Image based Automations

10. Creating Time and Event-based Automations

11. Writing Complex Automations

Hard Copy: Enterprise Automation with Python: Automate Excel, Web, Documents, Emails, and Various Workloads with Easy-to-code Python Scripts (English Edition)

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Mastering Python Network Automation: Automating Container Orchestration, Configuration, and Networking with Terraform, Calico, HAProxy, and Istio

 

Numerous sample programs & examples demonstrating the application of python tools to streamline network automation

With "Mastering Python Network Automation," you can streamline container orchestration, configuration management, and resilient networking with Python and its libraries, allowing you to emerge as a skilled network engineer or a strong DevOps professional.

From the ground up, this guide walks readers through setting up a network automation lab using the NS3 network simulator and Python programming. This includes the installation of NS3, as well as python libraries like nornir, paramiko, netmiko, and PyEZ, as well as the configuration of ports, hosts, and servers. This book will teach you the skills to become a proficient automation developer who can test and fix any bugs in automation scripts. This book examines the emergence of the service mesh as a solution to the problems associated with service-to-service communication over time.

This book walks you through automating various container-related tasks in Python and its libraries, including container orchestration, service discovery, load balancing, container storage management, container performance monitoring, and rolling updates. Calico and Istio are two well-known service mesh tools, and you'll find out how to set them up and configure them to manage traffic routing, security, and monitoring. Additional topics covered in this book include the automation of network policies, the routing of workloads, and the collection and tracking of metrics, logs, and traces. You'll also pick up some tips and tricks for collecting and visualizing Istio metrics with the help of tools like Grafana.

Key Learnings

Use of Istio for cluster traffic management, traffic routing, and service mesh

implementation.

Utilizing Cilium and Calico to solve pod networking and automate network policy

and workload routing.

Monitoring and managing Kubernetes clusters with etcd and HAProxy load

balancers and container storage.

Establishing network automation lab with tools like NS3 emulator, Python, Virtual

Environment, and VS Code.

Establishing connectivity between hosts, port connectivity, SSH connectivity,

python libraries, NS3, and network encryption.

Table of Content

Python Essentials for Networks

File Handling and Modules in Python

Preparing Network Automation Lab

Configuring Libraries and Lab Components

Code, Test & Validate Network Automation

Automation of Configuration Management

Managing Docker and Container Networks

Orchestrating Container & Workloads

Pod Networking

Implementing Service Mesh

Audience

"Mastering Python Network Automation" is an essential guide for network engineers, DevOps professionals, and developers who want to streamline container orchestration and resilient networking with the help of Terraform, Calico, and Istio. Knowing Python and the basics of networking is sufficient to pursue this book.

Hard Copy: Mastering Python Network Automation: Automating Container Orchestration, Configuration, and Networking with Terraform, Calico, HAProxy, and Istio

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Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects

 

Ready to Dive into Python and Supercharge Your Growth & Career?
Interested in Python, but afraid it might be too challenging?
Thinking about taking the programming leap but don't know where to start?
Are you a pro in another language but want to add Python to your toolkit?

You are in the right place!

You no longer have to waste your time and attention learning Python from lengthy books, expensive online courses, or very complex Python tutorials. This guide offers you an incredible and unmissable opportunity!

Smart and Fast Learning

The best topics, lined up in the best order, helping you learn quickly and smartly. No information overload, just what you need to know.

Say Goodbye to Confusion

With bite-sized chunks of knowledge and easy step-by-step guidance you'll go from "What's Python?" to "Wow, I'm actually coding!" in no time.

Hands-on Powerful and Fun Exercises and Projects

Packed with selected exercises and projects to help you master what you've learned. You'll get to test your skills in real-world situations right away, like creating a weather dashboard, a simple chatbot, or a GUI application!

A comprehensive book for beginners and a game changer with:

Everyday Language: ditching techy jargon and speaking your language

Safety Nets: Stuck on a code? We've got troubleshooting tips and common fixes right where you need them.

Aha-moments guaranteed to get your curiosity back!

Here is a tiny fraction of what you'll discover:

- What is Python

- How to install python and what is the best distribution

- What are data types and variables

- How to work with numbers in Python

- What operators there are in Python and when to use them

- How to manipulate Strings

- How to implement Program Flow Controls

- How to implement loops in Python

- What are Python lists, tuples, sets, dictionaries, and how to use them

- How to create modules and functions

- How to program according to the Object-Oriented paradigm

- How to create classes

- Version Control & Github

- What are and how to use Inheritance, Polymorphism, Abstraction and Encapsulation

- Exclusive projects and plenty of exercises

And much much more!

This isn't just a book; it's a personal growth and career booster! Learning Python opens doors to new jobs, freelancing, and even building your own apps or games. The possibilities are endless! Whether you're a complete beginner, or a programming wizard looking to add another feather to your cap, this guide has something for everyone. Take the leap, learn from the PROS and outsmart the competition.

Ready to Jump In? Your path to becoming a Python pro starts here. Don't Wait any longer! Click 'Buy Now' to Get Started!

👉 With this book, you will also gain access to 4 additional exclusive resources, providing you with an extra edge:

✅ Mindset Blueprint for Developers

✅ Essential Coding Interview Questions

✅ Mastering Productivity for Programmers

✅ Python Cheat Sheet

Hard Copy: Python Programming for Beginners: The Complete Python Coding Crash Course - Boost Your Growth with an Innovative Ultra-Fast Learning Framework and Exclusive Hands-On Interactive Exercises & Projects

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Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects and Real-World Applications (QuickStart Guides™ - Technology)

 

Learn Python fundamentals that can be used in any programming setting – use the guidance in this book to program your own game in a unique and practical Python learning experience.

#1 New Release and #1 Best-Seller!

Learning Python opens the door to a world of programming possibilities.

From AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology.

Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done.

In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

Distilling his experience drawn from over two decades of working with Python and other programming languages, Robert’s clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer.

It doesn’t matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python—Robert’s step-by-step approach, complete with a hands-on companion Python video game project, is the perfect starting point to master Python fundamentals!

Python QuickStart Guide is Perfect for:

New or experienced programmers looking to enhance their career opportunities with an in-demand programming language

Job seekers who want to supercharge their resumes and increase their value in the job marketplace

Students or recent college grads who have their sights set on a lucrative position in the tech industry

Full stack developers or programmers who need to round out their programming skills to take on new projects

Coding or programming bootcamp students looking for supplemental learning material

Anyone who wants to explore the world of programming, use Python to automate tedious tasks, or enhance their resume and future-proof their skills!

Python QuickStart Guide Explains

The best practical approach to learning Python—follow along with the exercises in the book to program your own video game and learn along the way

How to master Python building blocks and build a robust set of programming skills at your own pace

How to avoid common pitfalls new programmers face, how to debug code, and how to eliminate frustrating errors

Coding best practices that anyone can use to level up their programming skills using Python or any other programming language

You Will Learn

How to Use Python – Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game!

Python Fundamentals – How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other Applications

Object-Oriented Programming Principles – Managing Data, Scripts, Logic, Inputs, Outputs, and More!

Programming Essentials – Debugging, Producing Clean Code, Best Practices, Time-Savers, and Tips

Python Next Steps –Testing, Optimization, Speed Improvements, Integrations with Other Applications, and More!

*Lifetime Access To Free Python Programming Digital Assets*

In addition to the follow-along Python game included with the exercises in the book, Python QuickStart Guide comes with a library of references and cheat sheets to help you go beyond the book and get the most out of your Python learning experience.

QuickStart Guides are books for beginners, written by experts.

Hard Copy: Python QuickStart Guide: The Simplified Beginner's Guide to Python Programming Using Hands-On Projects and Real-World Applications (QuickStart Guides™ - Technology)

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Python Coding challenge - Day 122 | What is the output of the following Python Code?

 

Code: 

age = 5

if True:

    age = 6

print(age)

Solution and Explanation: 

age = 5: This line initializes a variable named age and assigns it the value 5.

if True:: This line begins an if statement with the condition True. Since True is always true, the code block following this line will always be executed.

Inside the if block:

age = 6

This line updates the value of the age variable to 6. This happens because the code inside the if block is executed when the condition is true.

print(age): This line prints the current value of the age variable. Since the if block was executed, and the value of age was set to 6 within that block, the output of this print statement will be 6.

So, the output of the code will be:

6

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5 ways to swap two numbers in Python

 

# 5 ways to swap two numbers in Python

# 1. Using a Temporary Variable:

a = 5

b = 10

temp = a

a = b

b = temp

print("After swapping: a =", a, ", b =", b)

#clcoding.com

# 2. Without Using a Temporary Variable :

a = 5

b = 10

a = a + b

b = a - b

a = a - b

print("After swapping: a =", a, ", b =", b)

#clcoding.com

# 3. Using Tuple Unpacking:

a = 5

b = 10

a, b = b, a

print("After swapping: a =", a, ", b =", b)

#clcoding.com

# 4. Using XOR bitwise operation:

a = 5

b = 10

a = a ^ b

b = a ^ b

a = a ^ b

print("After swapping: a =", a, ", b =", b)

#clcoding.com

# 5. Using Arithmetic Operators in a Single Line:

a = 5

b = 10

a, b = b, a + b - a

print("After swapping: a =", a, ", b =", b)

#clcoding.com

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Python Coding challenge - Day 121 | What is the output of the following Python Code?

 

The provided code defines a function called calc that takes a variable number of arguments using the *args syntax. The function calculates the product of the number of arguments and the last argument in the given sequence. Let's break down the code:

def calc(*args):

    count = len(args)

    elem = args[count - 1]

    return count * elem

print(calc(2, 2, 1, 3))

Here's how the function works:

*args in the function definition allows the function to accept any number of arguments. All the arguments passed to the function are collected into a tuple named args.

count is assigned the length of the args tuple, which gives the number of arguments passed to the function.

elem is assigned the value of the last element in the args tuple (i.e., args[count - 1]).

The function returns the product of count and elem.

The print(calc(2, 2, 1, 3)) statement calls the calc function with the arguments 2, 2, 1, 3.

Now, let's substitute the values:

count is 4 (number of arguments).

elem is 3 (the last argument).

The function returns count * elem, which is 4 * 3 = 12.

Therefore, the final result printed by print(calc(2, 2, 1, 3)) is 12.

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Python for Data Analysis

 

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

Use the Jupyter notebook and IPython shell for exploratory computing

Learn basic and advanced features in NumPy

Get started with data analysis tools in the pandas library

Use flexible tools to load, clean, transform, merge, and reshape data

Create informative visualizations with matplotlib

Apply the pandas groupby facility to slice, dice, and summarize datasets

Analyze and manipulate regular and irregular time series data

Learn how to solve real-world data analysis problems with thorough, detailed examples

Hard Copy: Python for Data Analysis

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The Python Bible for Beginners: A Step-By-Step Guide to Master Coding from Scratch in Less Than 7 Days and Become the Expert that Top Companies Vie to Hire

 

Are you ready to conquer any coding challenge, become an invaluable asset in the tech industry, and finally land your highly paid dream job with ease?

Then keep reading and dive into the fascinating world of Python programming with the only comprehensive step-by-step guide designed to transform complete beginners into highly skilled programmers in less than 7 days.

The Python Bible for Beginners is more than just a programming book; it's a roadmap to success in the ever-evolving field of software development. Nicholas Kimmel, senior data analyst for one of the biggest American tech companies, has condensed everything you need in a simple and clear way, leaving no room for confusion or frustration. His book stands apart as a true gem in the world of programming: as you journey through the chapters, you'll seamlessly transition from basic concepts to mastering advanced libraries and features.

Here’s a tiny fraction of what you'll find:

Foundational Skills: Start from scratch, learning Python syntax, basic functions, and how to think like an expert programmer.

Step-by-Step Tutorials: Follow clear and complete explanations (with code snippets), where complex concepts are broken down into easy-to-understand language.

Advanced Concepts and Libraries: Delve into hot topics like data analysis, machine learning, and cutting-edge visual and computational methods using Python's vast array of powerful libraries.

Expert Tips and Best Practices: Discover industry secrets and best practices that will set you apart in the job market.

Real-World Examples and Exercises: Reinforce learning and build practical skills with exercises for every level that will test your preparation and help you fix the key concepts in your memory through application.

------

Who Should Read This Book?

Students or Aspiring Programmers: No prior experience? No problem. This book is tailored for absolute beginners.

Current Developers: Looking to switch to Python or sharpen your existing skills? This book will elevate your coding abilities.

Career Advancers: Stand out in your workplace or job market by mastering one of the most sought-after skills in the tech industry. 

Hard Copy: The Python Bible for Beginners: A Step-By-Step Guide to Master Coding from Scratch in Less Than 7 Days and Become the Expert that Top Companies Vie to Hire

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Deep Learning with Python: A Comprehensive guide to Building and Training Deep Neural Networks using Python and popular Deep Learning Frameworks

 

Deep Learning with Python is a comprehensive guide to building and training deep neural networks using Python and popular deep learning frameworks. Whether you are a beginner or an experienced data scientist, this book provides a detailed understanding of the theory and practical implementation of deep learning.

Starting with an introduction to deep learning, the book covers essential topics such as neural network architecture, training and optimization, regularization, and transfer learning. It also covers popular deep learning frameworks such as TensorFlow, Keras, and PyTorch.

The book includes practical examples and step-by-step instructions to help you build and train deep neural networks for a variety of applications, including image and speech recognition, natural language processing, and time series analysis. You will also learn how to use advanced techniques such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.

With its comprehensive coverage of deep learning and practical examples, this book is an essential resource for anyone interested in building and training deep neural networks using Python and popular deep learning frameworks.

Hard Copy: Deep Learning with Python: A Comprehensive guide to Building and Training Deep Neural Networks using Python and popular Deep Learning Frameworks

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