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

4.6
stars
37,177 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

RK

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It's been a very exciting journey and last project was just awesome... It's gives me real world problem. Videos are short and a lot informations provided in that. can't wait for the next course.....

JE

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The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

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5801 - 5825 of 6,680 Reviews for Python for Data Science, AI & Development

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.

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 Yassine D

Jul 8, 2022

A good introduction to python but..

The course lacks practice. The labs are so basic and don't include some coding exercises. The notebook is already written and students only run the cells but don't write a specific code to solve a problem.

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 Lia M

Aug 25, 2022

Some labs, especially in weeks 4 and 5, need more comprehensive explanations for students starting their Python programming journey. A good understanding of the concepts covered can be obtained complementing the course with other resources.

By Форат Е В

Oct 24, 2021

Курс нужен для галочки. Реальные знания с него минимальные, пояснения скудные. Достаточно много рекламы собственных ненужных сложных сервисов, использовать которые не обязательно (гугл колаб привет). Проверочный материал составлен небрежно.

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

By Zheng J

Mar 26, 2022

The contents in the video most part ovelap with the hand-on tool.

Could add more pratical application/practice in the hand on tool.

The quiz is too easy.

Could put more alogotithm contents.

Don't like the machine voice of the video audio.

By e m

Oct 19, 2023

Explanations of Python code was read like a list of definitions without meaning or context. Labs did little to reinforce learning and instead served as duplication of videos. There was zero exploration / discussion of "why" on anything.

By Husam-Eldeen A M I

May 18, 2021

I think the course is missing some of the detailed work on Python loop operations, which can be ignored if more practice afforded in the next few courses within the Profficional certificate program. and thank you for all the effort.

By Chris O

Sep 30, 2021

There were a few coding errors in the labs. It really detracted from the experience. However, I would imagine that a good amount of time will be spent fixing code for other people, so the experience was justified to that direction.

By Richard v R

Mar 3, 2021

The first half of the course was easy to follow but in the second half of the course it felt like there were several knowledge gaps. However, overall the course managed to impart the basics of Python and get me eager to learn more.

By Roxanne W

Sep 24, 2022

This course was difficult. I felt that in the sequence of this certificate I went in degree of difficulty from 3 to 9. I had to spend many more hours on it repeating the infomation because it assumed I understood the terminology.