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
38,666 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

MA

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

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.

Filter by:

6001 - 6025 of 6,909 Reviews for Python for Data Science, AI & Development

By Chris D (

•

Sep 1, 2022

I really like the topic and overall progression however, Week 4 and Week 5 have serious issues with the pacing and the difficulty curve.

I also strongly feel that extra reading and practice on MANY of the topics would lead to better understanding and an easier time (later on).

By Emily Z

•

Sep 30, 2023

There are a lot of code unexplained. I would've liked more videos explaining how to write a code bit by bit especially in weeks 4-5. the exams don't match the labs. Overall the course is ok but I can't say I'm capable of writing code like was shown in weeks 4-5. Thank you :)

By Karalea F

•

Dec 21, 2023

This course was pretty hard for me who has no computer coding at all in my background. The beginning modules were a good start but to have to read code and write code was very frustrating to me. Great content but not really geared for a beginner; more intermediate learners.

By Alaa N

•

Nov 8, 2024

the web scrapping part of the course was not taught right sadly I finished the course not understanding the process completely which is my first time to feel like this I hope you consider changing the mentor for the web scrapping part of the course and thanks after all :)

By Ryan T

•

Mar 19, 2024

The course provides a massive amount of information in a short timeframe. It gets overwhelming quickly. I also needed to find other resources to supplement the course to get a comprehensive and functional knowledge base to understand the more advanced topics in the course.

By paul t

•

Sep 7, 2018

the material and movies were good, response from teachers to questions was terrible (takes a long time or no answers at all). the gap between the items learned and the week 5 project was too big. A lot of new things that were not mentioned or discussed in the first 4 weeks

By Elena E

•

Nov 12, 2021

First four weeks are excellent. Last week looks like a rushed scramble of three weeks worth of material jammed into one, multiple errors, final exam had three questions that had various problems with them starting with being unfinished to answers not fitting the question.

By Chow Y S

•

May 17, 2020

First 3 weeks was good and a very fast pace python lesson. When reach week 4 all goes down the rail if someone has no background on data science. Very hard to know what to do in week 4. Don't recommend you to take this course if you have no background in data science.

By parth g

•

Feb 8, 2020

This course was not great because the explaination was very less and the content was limited. The human touch is very necessary in any course. There was no difficulty level of quiz. It was very easy. The last assignment was moderate. Yep you can go for it if you want

By Don G M

•

Jun 7, 2019

The course itself explains well the content, but the final assignment is a nightmare, because proper and clear instructions aren't given on how to submit it/make it visible online. The assignment submission coding section is much tougher than the course material.

By KIRAN B

•

Nov 23, 2020

Though basic Python commands are taught. The hands-on session are not covering the knowledge gained in the tutorial. Also, final assignment is not challenging enough. Though I learnt a few starting concepts in Python I cannot say I am satisfied with this course.

By Sixto M

•

Feb 23, 2022

The level of the Hands-on labs increased significantly without properly introduced the new concepts. The hands-on lab are a copy of the videos which is not good because discourages in some way the focus needed to learn Python as the classes become repetitive.

By Kristen P

•

Jun 28, 2019

I found the course incredibly interesting. However, the chronic mismatch of instruction to assessments can not be overlooked nor can the outdated course materials that are incredibly difficult to translate into updated software versions at the beginner level.

By Shehab E K A

•

Aug 10, 2021

though as someone with no previous experience or knowledge about programming i found it difficult to keep up with some concepts and ideas that the instructor built upon , its the curse of knowledge i guess but overall i enjoyed the experience and the content

By Casey C

•

Sep 7, 2024

Very exhaustive, and exhausting! Would benefit from some clean up, and some more learner-oriented strategies, pacing, and exercises. Overall you get what you pay for, and for someone willing to work extra hard to push through, this course can be beneficial.

By Ameer U A K

•

Mar 1, 2024

The course is good for basic information and most of the time is used in the basic. More high quality and complex examples could be used to enrich the content and provide examples of how to use the tools in more complex environments and with more examples.

By Gabor P

•

Apr 17, 2019

The videos and readings are great but the final assignment is a bit sloppy. It cant be solved by just following the guidelines, workarounds are needed that deviate from the suggested ways (selecting the correct endpoint, makedashboard command not working).

By Fiona T

•

Oct 26, 2022

While the instruction is mostly clear, the course doesnt allow you to practice and enforce newly developed skills. Many steps are skipped, and all the labs are pre set.To really understand you need to spend extra hours working with information presented.

By Wesley C

•

Oct 3, 2019

Overall, the course taught the basics of Python but instructions regarding IBM Watson can be extremely unclear since the notes haven't been updated. Also, the final assignment is kind of a joke since it seems more focused on Watson than material learned.

By Fernando C

•

Aug 1, 2019

This is a great course, really useful to get the idea of numpy and pandas, maybe the exercises are easy. I need to say to all the people that we use the watson studio of ibm, using the software may be a headache for many people, read the forums carefully

By Roger S P M

•

Dec 11, 2018

Good basic introduction to the syntax of Python and its core capabilities. The online coding modules contain a number of errors in syntax. These are small enough that even a student can catch them and make the corrections to make the code run properly.

By Evangelos P

•

Sep 24, 2021

Some good information - need to spend more time on focused items and explaining some fundamentals. Why do some things need [[ whereas others just one [ what is happening behind the scenes? what is the significance and reasoning for what we are doing?

By mohamed a

•

Nov 14, 2019

very good course for python basics as well as for numpy and pandas libraries , the last assignment is not clear at all in the second part for me , it requires a practice for codes that was not explained in the lessons and the description is not clear

By Sreeja G

•

Aug 15, 2023

Course is good, but I completed the course on August 15, 2023... why does my certificate say August 16, 2023? That sort of increases the days I took to complete the course... can someone fix this and resend the certificate with the appropriate date?

By Uday A

•

Sep 11, 2018

Too many spelling mistakes in the notebooks, too many errors in the slides w.r.t indices in slicing, completely goofed-up video on matrix multiplication.

Content is very well done and well-delivered. Lack of attention to detail was the main spoiler.