Python A-Z™: Python For Data Science With Real Exercises!

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
4.61 (29545 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Python A-Z™: Python For Data Science With Real Exercises!
169 443
students
11 hours
content
Jan 2025
last update
$109.99
regular price

What you will learn

Learn to program in Python at a good level

Learn how to code in Jupiter Notebooks

Learn the core principles of programming

Learn how to create variables

Learn about integer, float, logical, string and other types in Python

Learn how to create a while() loop and a for() loop in Python

Learn how to install packages in Python

Understand the Law of Large Numbers

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Screenshot 1Python A-Z™: Python For Data Science With Real Exercises!
Python A-Z™: Python For Data Science With Real Exercises! – Screenshot 2
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Python A-Z™: Python For Data Science With Real Exercises! – Screenshot 3
Screenshot 3Python A-Z™: Python For Data Science With Real Exercises!
Python A-Z™: Python For Data Science With Real Exercises! – Screenshot 4
Screenshot 4Python A-Z™: Python For Data Science With Real Exercises!

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Our Verdict

Python A-Z™: Python For Data Science With Real Exercises! is a solid starting point for those interested in using Python for data analytics. However, be prepared for some challenges in the exercises and varying audio quality. Despite its shortcomings, learners appreciate the clear lectures and real-life exercise approach that aligns with the course's objectives.

What We Liked

  • Coherent and clear lectures that are worth revisiting, according to learners.
  • Provides a good introduction to using Python for data analytics and science.
  • Includes real exercises for students to reinforce their understanding of concepts.
  • Lecturer explains differences between Python and R, which can be beneficial for those coming from an R background.

Potential Drawbacks

  • Exercises involve pausing, typing, and playing again, which some learners find time-consuming.
  • Assignment videos have poor quality audio and vague explanations, making them challenging to follow.
  • Lacks a clear goal for students to work towards and has sparse assignments, leaving learners seeking more practice.
  • Some lectures mention irrelevant older versions of Python or other languages, causing confusion.
913448
udemy ID
24/07/2016
course created date
03/08/2019
course indexed date
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course submited by
Python A-Z™: Python For Data Science With Real Exercises! - Coupon | Comidoc