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

21,359 ratings
3,437 reviews

About the Course

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career. This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field....

Top reviews

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.

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.\n\nFrom basic level to advance level and you won't feel any trouble nor hesitate a bit.\n\nIt's easy, it's vast, and it's really usefull.

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2926 - 2950 of 3,403 Reviews for Python for Data Science, AI & Development

By François J

Sep 24, 2019

Interesting introduction into Python, tools and some libraries. It's pretty easy though and i feel like once we reach the files management, Pandas and Numpy we should get some real exercice to practice and get confortable with those since they are super important for what are you aiming for.

By Jenna H

Apr 6, 2021

Ok course for understanding the basics of python. Some exercises (week 3-5) didn't always seem to match the basic nature of the videos and were a bit frustrating. Because it's pretty surface level and the exercises didn't reinforce my learning, I felt like I walked away not learning much.

By Mirjan A S

May 11, 2020

All Content of this course is Very Good, But one things is irritated which is the project submission using 'IBM Watson Studio', this platform can't loading easily it is time consuming and Slow platform for data processing. For this course we need a lite platform which is loading fast.

By Chris L

Oct 15, 2019

it is a baby class for coding while it is not very challenging and practical. the code is sometimes outdated and is done in a time-wasting manner. one of the biggest problems is that the course refrains itself from using other libraries which are frequently used or common in practice.

By Myles A S

Aug 9, 2020

This course was frustrating because there were some issues with using the IBM cloud and they could not be solved quickly. As a result I comlpleted the course without completing all the practical exercises, so I missed out and did not get all the value I should have from this course.

By Florian P

Dec 6, 2018

This course does a good job of introducing the basics of python. However, the slides in the lecture videos are so atrociously formatted (and riddled with typos), that they have an annoying and distracting effect. Even in a high school presentation these slides would be embarrassing.

By Mykola K

Jun 19, 2020

Good structure, learning progressively helps. Labs are interesting and allow to learn to code. Two drawbacks: 1) very unequal distribution of work, Week 4 was too long, while Weeks 1 and 2 were light; 2) a lot of mistakes in the course, up to the point of sometimes being confusing.

By Marcus P

Dec 21, 2019

OK overall, but many links to external resources were not working and how-to screenshots often out-of-date for those services. The analysis side was a little light as too much time was spent on the intro to Python. It would have been better with Python knowledge as a prerequisite.

By Crystal W

May 20, 2020

Good course but there were large gaps in information, plentiful typos, and confusing explanations. As someone who educates for a living, I'd say this should likely be broken down into more than one course and the materials should be reviewed for grammar, errors, and readability.

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 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 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 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 In W 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 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 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.

By Mayur A

May 11, 2020

Initial topics in the course are well explained and cover the basics. In the later part, course rushes to complete the content rather than trying to explain it. Complex and important aspects required to solve practical problems are major missing.

By Steven B

May 26, 2020

Overall I felt that it could have been presented better. More interactive things while the training was playing in the background and allowing another pop up screen so that people could write some of the code while the course is being taught.

By Harshay S

Dec 6, 2019

There is No proper Guideline to setup IBM watson studio..It is very difficult for beginner to setup an IBM wastson studio account.The Guideline which is given in course is outdated.In the latest version The Interface has been totally changed.

By George K

Apr 25, 2021

This is a solid course for beginners in programming. However the course was the fourth course in the IBM Data Science Professional Certificate. The Certificate is addressed to people far from the beginner level. Bad curation of the courses