Django Application Development with SQL and Databases

 

Join Free: Django Application Development with SQL and Databases

Building Dynamic Web Applications with SQL, Databases, and Django: A Course Overview

Web applications are at the heart of today’s digital world, and having a solid grasp of backend development is key to creating responsive, data-driven platforms. If you're eager to dive deep into developing robust web applications, the "Developing Applications with SQL, Databases, and Django" course on Coursera is a must-take. This course is designed to help developers integrate SQL databases seamlessly with Django, providing the skills needed to build sophisticated and data-intensive applications.

Course Overview

The "Developing Applications with SQL, Databases, and Django" course is part of a series designed to equip developers with the skills to use Django effectively alongside SQL databases. The course covers everything from setting up databases to connecting them with Django models, providing a comprehensive learning experience for both beginners and those looking to refine their skills.

Key Learning Objectives

1. Introduction to SQL and Databases: The course starts with an overview of SQL (Structured Query Language), the standard language for managing and manipulating databases. You'll learn the basics of creating, reading, updating, and deleting data using SQL queries.

2. Database Design and Normalization: A well-structured database is essential for performance and scalability. The course covers the fundamentals of database design, including how to normalize your data to avoid redundancy and ensure data integrity.

3. Django Models and ORM: One of Django’s standout features is its Object-Relational Mapping (ORM) system, which allows you to interact with your database using Python code. You'll learn how to define models, create relationships between tables, and perform database operations without writing SQL.

4. Building Data-Driven Applications: The course emphasizes practical, hands-on experience by guiding you through the process of building a data-driven web application. You’ll learn how to connect Django to various SQL databases, create dynamic web pages that interact with your database, and manage data efficiently.

5. CRUD Operations with Django: CRUD (Create, Read, Update, Delete) operations are fundamental to any application dealing with data. The course provides step-by-step instructions on how to implement these operations using Django views, forms, and templates, ensuring your web app can interact smoothly with its database.

6. Advanced Querying Techniques: Beyond basic queries, the course delves into advanced SQL techniques such as joins, subqueries, and indexing. You'll also learn how to optimize your queries for better performance, a critical skill for managing large datasets.

7. Security Best Practices: Security is a top priority when dealing with databases. The course covers best practices for securing your SQL database and protecting sensitive data, including how to handle user authentication and prevent common vulnerabilities like SQL injection.

8. Deploying Django Applications with SQL Databases: Finally, the course walks you through the deployment process, ensuring that your Django application and SQL database are configured correctly for a production environment. You’ll learn how to handle migrations, backups, and other essential deployment tasks.

Why This Course Stands Out

• Practical, Project-Based Learning: The course's project-based approach ensures you gain hands-on experience with real-world applications. This method helps solidify your understanding of both SQL and Django while giving you practical skills you can apply immediately.

• Expert Instruction: Taught by knowledgeable instructors with real-world experience, the course provides expert insights into best practices, common pitfalls, and advanced techniques.

• Comprehensive Curriculum: The course covers the full spectrum of SQL and Django integration, making it ideal for those who want to develop a holistic understanding of backend development.

• Flexible Learning Path: Coursera’s flexible learning model allows you to learn at your own pace, making it easy to balance your studies with work or other commitments.

Who Should Enroll?

This course is ideal for:

• Aspiring Backend Developers: If you’re new to backend development and want to build a strong foundation in SQL and Django, this course offers a clear path forward.

• Web Developers Looking to Expand Their Skills: For front-end developers or full-stack developers looking to deepen their backend expertise, this course provides the necessary skills to handle complex data interactions.

• Anyone Interested in Data-Driven Applications: Whether you’re a student, freelancer, or entrepreneur, understanding how to connect and manage databases with Django is a valuable skill in today’s data-centric world.

Conclusion

The "Developing Applications with SQL, Databases, and Django" course on Coursera offers a comprehensive introduction to building data-driven web applications. By mastering SQL and integrating it with Django, you’ll be well-equipped to create dynamic, secure, and scalable web applications. Whether you’re starting your journey in web development or looking to enhance your existing skills, this course provides a practical, hands-on approach to learning that sets you up for success.

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Foundations of Data Structures and Algorithms Specialization

 

In the realm of computer science, data structures and algorithms are the backbone of efficient programming and software development. They form the fundamental concepts that every aspiring software engineer, data scientist, and computer scientist must master to solve complex problems effectively. Coursera's "Data Structures and Algorithms" Specialization, offered by the University of Colorado Boulder, provides an in-depth journey into these essential topics, equipping learners with the skills needed to excel in the tech industry.

Why Data Structures and Algorithms Matter

Data structures and algorithms are the building blocks of all software applications. They enable programmers to handle data efficiently, optimize performance, and ensure that applications run smoothly. Understanding these concepts is crucial for:

• Problem Solving: Algorithms provide a set of instructions to solve specific problems, while data structures organize and store data for efficient access and modification.
• Efficiency: Efficient algorithms and data structures improve the speed and performance of applications, making them scalable and robust.
• Competitive Programming: Mastery of these topics is essential for acing technical interviews and excelling in competitive programming contests.
• Software Development: From simple applications to complex systems, every software development project relies on the principles of data structures and algorithms.

Course Overview

The Coursera Specialization on Data Structures and Algorithms consists of several courses designed to take learners from basic to advanced levels. Here's a glimpse of what each course offers:

1. Algorithmic Toolbox:

   • Introduction to the basic concepts of algorithms.
   • Study of algorithmic techniques like greedy algorithms, dynamic programming, and divide-and-conquer.
   • Practical problem-solving sessions to reinforce learning.

2. Data Structures:

   • Comprehensive coverage of fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs.
   • Exploration of advanced data structures like heaps, hash tables, and balanced trees.
   • Hands-on exercises to implement and manipulate various data structures.

3. Algorithms on Graphs:

   • Detailed study of graph algorithms including breadth-first search (BFS), depth-first search (DFS), shortest paths, and minimum spanning trees.
   • Real-world applications of graph algorithms in networking, web search, and social networks.

4. Algorithms on Strings:

   • Techniques for string manipulation and pattern matching.
   • Algorithms for substring search, text compression, and sequence alignment.
   • Applications in bioinformatics, data compression, and text processing.

5. Advanced Algorithms and Complexity:

   • Exploration of advanced topics such as NP-completeness, approximation algorithms, and randomized algorithms.
   • Analysis of algorithmic complexity and performance optimization.

Key Features

• Expert Instruction: The courses are taught by experienced professors from the University of Colorado Boulder, ensuring high-quality instruction and guidance.
• Interactive Learning: Each course includes a mix of video lectures, quizzes, programming assignments, and peer-reviewed projects to enhance learning.
• Flexibility: Learners can progress at their own pace, making it convenient to balance studies with other commitments.
• Certification: Upon completion, participants receive a certificate that can be shared on LinkedIn and added to their resumes, showcasing their proficiency in data structures and algorithms.

Who Should Enroll? Foundations of Data Structures and Algorithms Specialization

This specialization is ideal for:

• Aspiring Programmers: Beginners looking to build a strong foundation in data structures and algorithms.
• Software Engineers: Professionals seeking to improve their problem-solving skills and prepare for technical interviews.
• Computer Science Students: Individuals aiming to deepen their understanding of core computer science concepts.
• Tech Enthusiasts: Anyone with a passion for technology and a desire to learn how to solve complex problems efficiently.

Conclusion

Mastering data structures and algorithms is a crucial step towards becoming a proficient software engineer and problem solver. Coursera's "Data Structures and Algorithms" Specialization offers a comprehensive and structured learning path to achieve this mastery. With expert instruction, interactive learning experiences, and the flexibility to learn at your own pace, this specialization is an invaluable resource for anyone looking to excel in the tech industry.

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Databases and SQL for Data Science with Python

 

If you're looking to break into the world of data science, mastering SQL is a crucial step. Coursera offers a comprehensive course titled "SQL for Data Science" that provides a solid foundation in SQL, tailored for aspiring data scientists.

Course Overview

The "SQL for Data Science" course on Coursera is designed to equip you with the essential SQL skills needed to handle and analyze data. It's ideal for beginners, requiring no prior experience in SQL or database management.

Key Features

• Foundational Skills: The course covers the basics of SQL, including writing queries, filtering, sorting, and aggregating data. You'll learn how to use SQL to extract valuable insights from large datasets.
• Hands-On Projects: Practical exercises and projects ensure that you apply what you learn in real-world scenarios. This hands-on approach helps reinforce your understanding and build confidence in your SQL skills.
• Professional Certificates: Upon completion, you receive a certificate from Coursera, which is highly regarded by employers. According to Coursera, 88% of employers believe that Professional Certificates strengthen a candidate’s job application​ (Coursera)​.

Benefits of Learning SQL

1. High Demand: SQL is a highly sought-after skill in the tech industry. Many data-related roles require proficiency in SQL, making it a valuable addition to your resume.
2. Versatility: SQL is used in various industries, including finance, healthcare, marketing, and more. This versatility ensures that your skills are applicable across multiple fields.
3. Career Advancement: Completing this course can enhance your employability and open up opportunities for roles such as data analyst, database administrator, and data scientist​ (Coursera)​​ 

Course Content

The course is structured into several modules, each focusing on different aspects of SQL:

• Introduction to SQL: Learn the basics of SQL, including syntax and key concepts.
• Data Management: Understand how to manage databases and perform essential operations like inserting, updating, and deleting data.
• Data Analysis: Gain skills in data analysis, including using functions, subqueries, and joins to manipulate and analyze data.
• Advanced Topics: Explore advanced SQL topics such as window functions, stored procedures, and performance optimization.

Why Choose Coursera?

Coursera's platform is known for its high-quality content delivered by industry experts and top universities. The "SQL for Data Science" course is no exception, providing:

• Flexible Learning: Study at your own pace with access to video lectures, readings, and quizzes.
• Interactive Learning: Engage with peers and instructors through discussion forums and group projects.
• Credible Certification: Earn a certificate from a globally recognized platform, boosting your credentials in the job market​ (Coursera)​.

If you're ready to enhance your data science skills with SQL, consider enrolling in the "SQL for Data Science" course on Coursera. It's a step towards mastering data manipulation and analysis, crucial for a successful career in data science.

Join Free: Exploring Coursera's SQL for Data Science Course

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Network Automation Engineering Fundamentals Specialization

 

What you'll learn

The issues network automation can solve, building a foundation for further mastery

The basics of NETCONF, RESTCONF, gNMI, and YANG modeling

How to script security topics with Ansible and Python

Join Free: Network Automation Engineering Fundamentals Specialization

Specialization - 5 course series

The Network Automation Engineering Fundamentals Specialization takes mid- to expert-level network engineers through the primary topics of network automation and programmability and prepares them for the NetDevOps environment. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment.

Completing this Specialization will help you prepare to operate as a network automation engineer with the skills needed to advance your career.

Applied Learning Project

We do not have any hands-on projects in this specialization curriculum. 

On Completion of this Specialization, you will be prepared to operate as a network automation engineer with the necessary skills needed to advance in your career. This Specialization serves as a well-rounded survey of topics and core skills that a network automation engineer should know to effectively deploy and operate a NetDevOps environment.

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Programmation pour tous (mise en route de Python)

 

Introduction

Si vous êtes débutant en programmation et que vous souhaitez apprendre Python, le cours "Programming for Everybody (Getting Started with Python)" de l'Université du Michigan sur Coursera est parfait pour vous. Ce cours, dispensé en français, couvre les bases essentielles de la programmation en Python et est conçu pour ceux qui n'ont aucune expérience préalable en codage.

Contenu du Cours

Le cours comprend :

• Installation de Python : Guide étape par étape pour installer Python sur votre ordinateur.
• Écriture de votre premier programme : Introduction aux bases de la syntaxe Python.
• Utilisation des variables et des fonctions : Apprenez à manipuler les données et à structurer votre code.
• Boucles et instructions conditionnelles : Découvrez comment contrôler le flux de votre programme.

Structure du Cours

Le cours est structuré de manière à faciliter l'apprentissage avec des vidéos explicatives, des lectures, des quiz interactifs et des devoirs pratiques. Il est conçu pour être suivi à votre propre rythme, ce qui vous permet de l'adapter à votre emploi du temps.

Pourquoi Apprendre Python?

Python est un langage de programmation polyvalent et très populaire. Il est utilisé dans divers domaines tels que le développement web, l'analyse de données, l'intelligence artificielle, et bien plus encore. En apprenant Python, vous ouvrez la porte à de nombreuses opportunités professionnelles.

Certification

À la fin du cours, vous aurez la possibilité d'obtenir un certificat partageable qui peut enrichir votre CV et démontrer vos compétences en programmation Python.

Conclusion

Le cours "Programming for Everybody (Getting Started with Python)" est une excellente opportunité pour débuter en programmation. Il offre une introduction complète et accessible à Python, avec le soutien d'une institution prestigieuse comme l'Université du Michigan.

Pour plus d'informations et pour vous inscrire, visitez la page du cours sur Coursera. Bon apprentissage !

rejoindre gratuitement: Programmation pour tous (mise en route de Python)

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Practical Time Series Analysis

 

There are 6 modules in this course

Welcome to Practical Time Series Analysis!

Many of us are "accidental" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training.  This course is designed for people with some technical competencies who would like more than a "cookbook" approach, but who still need to concentrate on the routine sorts of presentation and analysis that deepen the understanding of our professional topics. 

In practical Time Series Analysis we look at data sets that represent sequential information, such as stock prices, annual rainfall, sunspot activity, the price of agricultural products, and more.  We look at several mathematical models that might be used to describe the processes which generate these types of data. We also look at graphical representations that provide insights into our data. Finally, we also learn how to make forecasts that say intelligent things about what we might expect in the future.

Please take a few minutes to explore the course site. You will find video lectures with supporting written materials as well as quizzes to help emphasize important points. The language for the course is R, a free implementation of the S language. It is a professional environment and fairly easy to learn.

You can discuss material from the course with your fellow learners. Please take a moment to introduce yourself!

Join Free: Practical Time Series Analysis

Time Series Analysis can take effort to learn- we have tried to present those ideas that are "mission critical" in a way where you understand enough of the math to fell satisfied while also being immediately productive. We hope you enjoy the class!

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An Intuitive Introduction to Probability

 

There are 5 modules in this course

This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you will earn a "toolbox" of methods to deal with uncertainty in your daily life. 

The course is split in 5 modules. In each module you will first have an easy introduction into the topic, which will serve as a basis to further develop your knowledge about the topic and acquire the "tools" to deal with uncertainty. Additionally, you will have the opportunity to complete 5 exercise sessions to reflect about the content learned in each module and start applying your earned knowledge right away. 

The topics covered are: "Probability", "Conditional Probability", "Applications", "Random Variables", and "Normal Distribution".

Join Free : An Intuitive Introduction to Probability

You will see how the modules are taught in a lively way, focusing on having an entertaining and useful learning experience! We are looking forward to see you online!

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Python and Machine-Learning for Asset Management with Alternative Data Sets

 

What you'll learn

Learn what alternative data is and how it is used in financial market applications. 

Become immersed in current academic and practitioner state-of-the-art research pertaining to alternative data applications.

Perform data analysis of real-world alternative datasets using Python.

Gain an understanding and hands-on experience in data analytics, visualization and quantitative modeling applied to alternative data in finance

Join Free: Python and Machine-Learning for Asset Management with Alternative Data Sets

There are 4 modules in this course

Over-utilization of market and accounting data over the last few decades has led to portfolio crowding, mediocre performance and systemic risks, incentivizing financial institutions which are looking for an edge to quickly adopt alternative data as a substitute to traditional data. This course introduces the core concepts around alternative data, the most recent research in this area, as well as practical portfolio examples and actual applications. The approach of this course is somewhat unique because while the theory covered is still a main component, practical lab sessions and examples of working with alternative datasets are also key. This course is fo you if you are aiming at carreers prospects as a data scientist in financial markets, are looking to enhance your analytics skillsets to the financial markets, or if you are interested in cutting-edge technology and research as  they apply to big data. The required background is: Python programming, Investment theory , and Statistics. This course will enable you to learn new data and research techniques applied to the financial markets while strengthening data science and python skills.

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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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Learn to Program: The Fundamentals

 

There are 7 modules in this course

Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.

Join free : Learn to Program: The Fundamentals

Skills you'll gain

• Python Syntax And Semantics

• Computer Programming

• Python Programming

• Idle (Python)

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Web Design for Everybody: Basics of Web Development & Coding Specialization

 

What you'll learn

Add interacitivity to web pages with Javascript

Describe the basics of Cascading Style Sheets (CSS3)

Use the Document Object Model (DOM) to modify pages

Apply responsive design to enable page to be viewed by various devices

Specialization - 5 course series

This Specialization covers the basics of how web pages are created – from writing syntactically correct HTML and CSS to adding JavaScript to create an interactive experience. While building your skills in these topics you will create websites that work seamlessly on mobile, tablet, and large screen browsers. During the capstone you will develop a professional-quality web portfolio demonstrating your growth as a web developer and your knowledge of accessible web design. This will include your ability to design and implement a responsive site that utilizes tools to create a site that is accessible to a wide audience, including those with visual, audial, physical, and cognitive impairments.

Join : Web Design for Everybody: Basics of Web Development & Coding Specialization

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Earn a data science certificate

 

• Earn a data science certificate

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Meta Database Engineer Professional Certificate

 

What you'll learn

Demonstrate proficiency of SQL syntax and explain how it’s used to interact with a database.

Create databases from scratch and learn how to add, manage and optimize your database.

Write database driven applications in Python to connect clients to MySQL databases.

Develop a working knowledge of advanced data modeling concepts.

Join Free : Meta Database Engineer Professional Certificate

Professional Certificate - 9 course series

Want to get started in the world of database engineering? This program is taught by industry-recognized experts at Meta. You’ll learn the key skills required to create, manage and manipulate databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram and more.

In this program, you’ll learn:

Core techniques and methods to structure and manage databases. 

Advanced techniques to write database driven applications and advanced data modeling concepts. 

MySQL database management system (DBMS) and data creation, querying and manipulation.

How to code and use Python Syntax

How to prepare for technical interviews for database engineer roles.

Any third-party trademarks and other intellectual property (including logos and icons) referenced in the learning experience remain the property of their respective owners. Unless specifically identified as such, Coursera’s use of third-party intellectual property does not indicate any relationship, sponsorship, or endorsement between Coursera and the owners of these trademarks or other intellectual property.

Applied Learning Project

You’ll complete a series of 5 projects in which you will demonstrate your proficiency in different aspects of database engineering. 

You’ll demonstrate your skills with database normalization by structuring your own relational database by defining relationships between entities and developing relational schema. 

This is followed by a stored procedure project in which you’ll demonstrate your competency in SQL automation by writing a stored procedure to solve real world problems. After developing your skills in Python, you’ll create a Python application to administer a MySQL database and program its interactions with clients. 

In the next project, you are required to apply data modeling to a real-world project by enacting advanced data modeling concepts such as automation, storage and optimization. 

Finally, you’ll be tasked with creating a MySQL database solution for an app by drawing on the knowledge and skills that they have gained throughout the program.

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Capstone: Retrieving, Processing, and Visualizing Data with Python

 

What you'll learn

Make use of unicode characters and strings

Understand the basics of building a search engine

Select and process the data of your choice

Create email data visualizations

There are 7 modules in this course

In the capstone, students will build a series of applications to retrieve, process and visualize data using Python.   The projects will involve all the elements of the specialization.  In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find.  Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.

Join Free : Capstone: Retrieving, Processing, and Visualizing Data with Python

 

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Using Python to Access Web Data

 

What you'll learn

Use regular expressions to extract data from strings

Understand the protocols web browsers use to retrieve documents and web apps

Retrieve data from websites and APIs using Python

Work with XML (eXtensible Markup Language) data

There are 6 modules in this course

This course will show how one can treat the Internet as a source of data.  We will scrape, parse, and read web data as well as access data using web APIs.  We will work with HTML, XML, and JSON data formats in Python.  This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization.  These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files.  This course covers Python 3.

Join Free : Using Python to Access Web Data

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Python Data Structures by drchuck

 

What you'll learn

Explain the principles of data structures & how they are used

Create programs that are able to read and write data from files

Store data as key/value pairs using Python dictionaries

Accomplish multi-step tasks like sorting or looping using tuples

There are 7 modules in this course

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”.  This course covers Python 3.

Join Free : Python Data Structures

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MichiganX: Python Data Structures (Free Course)

 

About this course

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook "Python for Everybody". This course covers Python 3.

What you'll learn

How to open a file and read data from a file

How to create a list in Python

How to create a dictionary

Sorting data

How to use the tuple structure in Python

Join Free : MichiganX: Python Data Structures

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Data Structures and Algorithms in Python

 

Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms.

This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.

Syllabus: 

1. Introduction
2. Insertion
3. Deletion by Value
4. Deletion by Position
5. Length
6. Node Swap
7. Reverse
8. Merge Two Sorted Linked Lists
9. Remove Duplicates
10. Nth-to-Last Node
11. Count Occurrences
12. Rotate
13. Is Palindrome
14. Exercise: Move Tail to Head
15. Solution Review: Move Tail to Head
16. Exercise: Sum Two Linked Lists
17. Solution Review: Sum Two Linked Lists
18. Quiz

Join Free : Data Structures and Algorithms in Python

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Create Your First Web App with Python and Flask

 

What you'll learn

Create Web Applications with Flask

Use WTForms and SQLAlchemy in Flask Applications

Use Templates in Flask Applications

About this Guided Project

In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms. You will then apply the concepts to create your first web application with Python and Flask.

This course is aimed at learners who are looking to get started with web application development using Python, and have some prior programming experience in the Python programming language. The ideal learner has understanding of Python syntax, HTML syntax, and computer programming concepts.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Join Free : Create Your First Web App with Python and Flask

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Python Basics: Automation and Bots

 

What you'll learn

Learn how to play faster and looser and more casual with code, skimming and copying code from the Internet.

Discuss code flow and the order that your computer reads the code you write. This introduces us to a whole other level of thinking in code.

Logic can be harnessed to do useful stuff. We'll make it concrete by performing tasks like building an anagram finder.

Apply Python by robocall and spam text yourself through the Twilio API.

There are 4 modules in this course

Understanding the flow of running code is a major part of learning to think in code and of coding itself. In this course we will study the flow of code through several demonstrations and walkthroughs. We'll experience turning logic into useful work by running Python that automatically reads all of Shakespeare, and by setting Python up to give you a call on the phone. In technical terms, this course will demonstrate Python loops, list comprehensions, and conditional statements, while at a higher level we'll discuss code style and good practices for code.

Join Free : Python Basics: Automation and Bots

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