Chevron Left
Back to Python for Data Science, AI & Development

Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

4.6
stars
38,386 ratings

About the Course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles....

Top reviews

TM

Nov 17, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

DR

Sep 27, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

Filter by:

6026 - 6050 of 6,858 Reviews for Python for Data Science, AI & Development

By rohit s

•

Apr 8, 2020

Sir, Mainly I was looking for NUMPY and PANDAS but I could not find that much content in the same. After completing this course I am not able to remember and apply pandas and NumPy any library.

By Dominika E

•

Feb 21, 2020

I like the choice of topics, makes sense from the beginning.

However the labs are too easy and repetetive, would be prefer to have to write the code myself based on what I learned in the videos.

By Kwame B

•

Mar 10, 2020

There are not many useful information in this course because for example, there are much more numpy and padnas use cases but there are only two or three methods I could learn from this course.

By Marlene G

•

Apr 6, 2020

In the course the basics of python are explained well. However, there are barely any assignments where you really need to work with data yourself. Even the last assigment doesn't ask for lot.

By Joseph G

•

Dec 6, 2019

It went way too fast and didn't explain any conventions. I have a year of python experience and some of this even went too fast for me. It does, however, have a load of useful information!

By Mathias E

•

Mar 28, 2022

Last weeks included far to little actual programming exercises. You only learn programming by doing it and going trough alot of demos is good but not a substitute for actual programming.

By Minal P

•

Mar 22, 2021

The course content was good but it was overwhelming for the beginners like me. The video presentation was good and easy to understand but programs in hands-on-lab were difficult to solve.

By Roel v M

•

Sep 18, 2020

When you are a novice it can be quite confusing to get what is happening. The explanations are quick and brief, sometimes leaving you wondering how you are supposed to do the assignments.

By Paras A

•

Apr 25, 2021

The course is fast paced with so less practical and interaction. It can improve by diving a little deeper in each sub-topics and making it better through effective use of the laboratory.

By Zachary A H

•

Sep 8, 2019

Good course, but did not prepare you for the potential errors encountered in the last question of the peer-reviewed assignment. This seems to be a trend based on the discussion forum.

By Angeline P

•

Oct 23, 2021

I had to go find other resources to better explain the content. Issues and unable to sign up for IBM Watson Studio which is part of the hands-on lab and integral to learning concepts.

By Sourav B

•

Aug 14, 2023

In week 3 The Function Chapter needs more examples and easy to understand version. The quiz is quite simple compared to the theories. I am not satisfied with the Functions in Python.

By A S

•

Dec 11, 2019

Some of the examples were broken and the watson links were outdated. Watson has been updated but the training does not reflect it.

Otherwise, good content and I did learn some stuff.

By marc s

•

Jun 21, 2019

Good overview and intro to python. Though many many errors in the voice track and course material. Seems very sloppy and out of date. But content was good and thoroughly explained.

By Thitiphong W

•

Oct 13, 2022

The course's content is excellent, but the presentation is terrible, and several of the labs and quizzes are far too simple. The final Python Class lab, nevertheless, was excellent!

By تقى ط

•

Jul 27, 2020

I see that much more applications or quizzes on the syntax of libraries and programming languages must be attached to the course in order not to forget what we learned from videos

By Minh V D

•

Nov 4, 2020

Overall, I learned a lot from the labs and videos.

The organization of the material taught could be better.

There were some parts in the lab where the materials were very sloppy.

By Kanishk R

•

May 8, 2019

IBM Watson has changed it's layout a bit. There is confusion regarding a part of lab assignment so it becomes cumbersome to look at solution and still not being able to solve it.

By Mohamed R

•

Oct 16, 2024

the course objective not clear, a lot of information not discussed deeply during the course as an overview but in fact it took a long time to understand specially for beginners.

By Arielle K

•

Jan 14, 2023

I think this course in lacking explanations for some methods & code lines that are used in the skill labs.

In addition some of the questions in the final test are very low level.

By Yun X

•

Jul 6, 2020

Good material, but very poorly designed final Assignment, especially, people are using the links that other students' worked out before. Hope this can be improved in the future.

By christopher r n

•

Jun 20, 2020

the programming task for the exam was not clear had some issues. For example it did not say you had to shift enter the one section so you would not get errors during the graph.

By Ahmed A I A

•

Apr 12, 2022

The content in the first 4 weeks was great and suitable for my current level in programming. However, week 5 was full of very advanced topics that I couldn't understand well.

By Khalid S

•

Feb 16, 2019

The final assignment had very little connection with the materials taught. Overall this is a reasonably ok course, however there could have been more practice examples given.

By Ozan A

•

Jan 10, 2023

Course content should be enriched with more exercises. There are many new commands or dictionaries highlighted without any actual exercise in which those new items are used.