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:

4926 - 4950 of 6,911 Reviews for Python for Data Science, AI & Development

By Anmol D

•

Mar 26, 2020

The dashboard function code wasn't working, Also, if it is going to be included in the assignment, then there should be a video on it as well.

By Daniel S

•

Sep 9, 2022

It was my first approach to python. It was good, how ever the labs after week 3 are very complicated for a person who is starting in python.

By Anuj S

•

Sep 3, 2019

Videos have so many errors. The course is good for the beginners but doesn't have much to offer to those who are already familiar with Python

By DENNIS J

•

Apr 28, 2023

Challenging course, a bit fast paced for me in the video segments but the hands on labs really tie the learning together. Highly recommend.

By Felipe E R

•

Sep 25, 2022

Seria bueno tener unos ejemplos un poco mas profundos y reales pero en general el curso es muy compelto y una gran introducción a est etema

By Olamilekan A

•

Jan 26, 2023

Great course overall. But some code blocks in the labs would be quite tough for beginners who might want to try to know every line of code.

By Alvaro L V

•

Mar 17, 2020

Although all the analysis tools are presented and clearly explained, the code for generating the dashboard could have been better explained

By Praveen K

•

Oct 15, 2019

It could have been more detailed. By the name of the course, it seems that you will learn Python at a very deep level but it's only basics.

By Sujas K

•

Sep 23, 2023

It was a little vague and very general course not very specific regarding anything. It had little bit of everything but nothing in detail.

By Aarav M

•

Jul 13, 2020

The course content is fabulous. It covers the basics of Python while also adding various AI and Data Science concepts. A wholesome course.

By JAMES W

•

Jun 1, 2020

Great course. Took a bit of figuring out but for a beginner it’s was very informative. Some addition instruction could have been provided.

By Ewan S

•

Jun 25, 2019

Decent introduction to the basics of Python for data science. Quite a few typos and/or audio not matching the video in the lessons though.

By Sandro J H G

•

Jan 16, 2022

It was an amazing course. Very complete. However, I would have liked the topics of weeks 4 and 5 to have been developed in greater depth.

By ramineni s

•

Sep 5, 2021

Really I learned a lot about python through this course.I am relly thankful for that.This certificate brings a grate value for my resume.

By varishth.baluckram

•

Nov 3, 2020

Good course for overview of Python basics for data science. The assignments/practice should be made more challenging to improve learning.

By Sohom C

•

Jun 28, 2020

The course is well tailored starting from the programming aspect of Python and delving deeper into the libraries such as NumPy as pandas.

By Amiya R B

•

Dec 23, 2019

the instructor should teach the course rather than making it fully digital. it is boring. however, the quality of the course is very good

By Carlo R

•

Apr 17, 2024

I feel more details on particular lessons could've been implemented. The only critic is to explain more depth into each lesson simplier.

By Anunaya S

•

Mar 1, 2024

For beginners of Python programming language this course provides all necessary topics and formats in a simple and comprehensive manner.

By Muhammad U A

•

Dec 10, 2020

overall the course is great. well structured. i would recommend more practise exercises in the course and more focus on non-ibm products

By vishal k

•

Feb 24, 2020

This was my first course online with course era . The interface was very friendly. I would continue to take more courses from this site.

By Febiana N R

•

Mar 27, 2019

Good course for those who want to migrate from R to python or someone new to data science and learn the basic of python for data science

By Valentino C

•

Oct 5, 2024

Very good introduction to python and data analytics. However, pretty simple. It would be great if they include more practical projects.

By Luis A R P

•

Jul 11, 2020

An excellent course with a lot of pratical examples that can help newcomers about how to understand both data analysis and programming!

By Anuradha B

•

Jul 30, 2018

The course is interesting and covered basics. I will suggest to make this course more challenging by increasing number of assignments.