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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.

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6026 - 6050 of 6,909 Reviews for Python for Data Science, AI & Development

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.

By Rajeev

May 31, 2022

A few items are very technical, those without prior coding knowledge will not understand it. I suggest reading some basic programming concepts to understand this.

I have a brief idea on linux and python, so i could scrape through

By ANKUSH T

Aug 25, 2020

it may be in more detail and informative pandas library are very difficult to understand in this lecture series try to do that it more easy way and do some example and all....

thank you so much....otherwise course is very much good

By Scott P

Apr 9, 2021

I don't think the hands on labs really helped due to the fact that the code was already entered in the input boxes. I think there needs to be blank input boxes and have students fill them in with the option to view the solution.

By John C

Mar 20, 2024

The course covers the basic, but the pacing is very erratic and some concepts aren't given nearly enough attention. Alo the code formatting throughout is terrible and does not conform to Python standards as expressed in PEP 8.

By Chinwe N

Mar 26, 2019

Please provide better instructions for graded assignments, and please include relevant video or tutorial sessions on topics presented in the homework (many topics were newly introduced and confusing for beginner programmers).

By Madison M

May 14, 2023

I definitely learned a lot through this course. It could be confusing at times and I feel like some of they examples they could have used different variables to make it not so confusing. Overall good intro and course though.

By Junfei Z

Mar 26, 2020

The final quiz doesn't pose data link in the assignment. Some people already have Studio account, don't need to follow the steps to open new account, had hard time to find data. Really cost me couple hours to find data....

By ZULHISYAM B Z

Apr 20, 2023

sometime the course suddenly jump to something that totally complicated or complex and not being introduce in the beginning, so difficult for me to understand the connection or what actually it try to demonstrate or teach

By Brandy L

Mar 4, 2022

Videos were way too fast and had to be watched mulitple times. The lab assignments didn't always align with the videos, were too complex for the knowledge of the course, and often had several instances that did not work.

By Kevin J

Aug 23, 2023

Not enough hands-on exercises to retain information. In many of the videos, concepts are skimmed over without fully giving time to absorb them. The volume of the woman speaking was very inconsistant from video to video.

By Ozge I

Jan 29, 2019

There are several typos in the slides of this course. I hoped the final assignment would be more meaningful in the sense that it would evaluate the knowledge of students on large set of concepts learned in the course.

By Kenneth K

Dec 20, 2018

Good and quick run-through of essential python. Not five stars for many errors on videos. Practice Notebooks on CC labs had usually correct info, but many videos had frequent errors which could hinder understanding.