Tuesday, 5 October 2021

Introduction to Python for Data Science

What is Data Science?

  • Data Science is the art of analyzing using statistics and machine learning techniques raw data with a perspective of drawing valuable insight from it.
  • Data Science is used in many industries to allow them to make better business and decisions, and in the sciences to test models or theories.
  • This requires process of inspecting, cleaning, modelling, analyzing and interpreting raw data.




Why Using Python?

  • Python libraries provide basic key features sets which are essential for data science.
  • Data Manipulation and Pre-Processing
Python's pandas library offers a variety of functions and data wrangling process


Join us: https://t.me/jupyter_python

0 Comments:

Post a Comment

Popular Posts

Categories

100 Python Programs for Beginner (90) AI (37) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (184) C (77) C# (12) C++ (83) Course (67) Coursera (231) Cybersecurity (24) Data Analytics (1) data management (11) Data Science (135) Data Strucures (8) Deep Learning (21) Django (14) Downloads (3) edx (2) Engineering (14) Euron (19) Excel (13) Factorial (1) Finance (6) flask (3) flutter (1) FPL (17) Generative AI (5) Google (34) Hadoop (3) HTML Quiz (1) HTML&CSS (47) IBM (30) IoT (1) IS (25) Java (93) Java quiz (1) Leet Code (4) Machine Learning (62) Meta (22) MICHIGAN (5) microsoft (4) Nvidia (4) Pandas (4) PHP (20) Projects (29) pyth (1) Python (959) Python Coding Challenge (402) Python Quiz (56) Python Tips (3) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (4) Software (17) SQL (42) UX Research (1) web application (8) Web development (4) web scraping (2)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses