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

4.6
stars
35,197 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.

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5326 - 5350 of 6,171 Reviews for Python for Data Science, AI & Development

By Manar M

•

Aug 18, 2020

The course generally explains concepts in a good and illustrative manner. The only thing I found hard to understand and wasn't demonstrated with examples is API. Furthermore, I suggest the quizzes and the lab exercises become more competitive and more advanced. The questions posed are very basic.

By Marie G

•

Mar 17, 2021

The exercices from week 3 to week 5 are too difficult. It would be really useful to have more exercices with a progression in it instead of one big exercises mixing everything.

The weeks 4 and 5 are really difficult to understand because there are a lot of new things explained really quickly.

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 Timo N

•

Feb 12, 2022

In the course, some of the details were submerged too quickly without providing the basis. In other words, the structure and structure of the syntax was hardly dealt with, but they worked with it at the same time (at least in the videos). The course itself is suitable for the beginner level

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 Liezl M

•

Oct 18, 2022

The course content was good, but the hands-on labs were very confusing. It was not clear how to practically apply the knowlede. I did a pyhton course prior to this, bit for someone with no prior python knowledge, this must be very confusing. Better, more visual practicals would be better.

By Elvira R

•

Jan 30, 2022

The videos are not nearly long enough for the labs. All the tools we need were not mentioned in the beginning, and the labs frequently are not complete or do not work.

This is not helpful for someone who is at the very beginning of learning Python because I dont know what to look for.

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 Aubrey A

•

Mar 27, 2023

This course had tons of information that at times was overwhelming for someone without a data science background. I would have liked to see the course work split up a little more along with more introductory/overview lessons, like who uses Python, how is it used in the real world.

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 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 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.