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

4.6
stars
38,797 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.

DR

Sep 27, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

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6301 - 6325 of 6,934 Reviews for Python for Data Science, AI & Development

By Suberlin S

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Jul 7, 2020

There is section in this course where the function is outdated (deprecated)

By Othman M R

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Apr 23, 2020

We scratch only the surface, it does not go deep enough in term of practice

By Samarth B

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Apr 13, 2020

Could be more descriptive with options and the process to execute programs.

By Kathan P

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Oct 5, 2022

pls try to slow down and breakdown the different commonds used in modules

By Tarik H

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Aug 15, 2021

in general it is good , but a lot if missing information in pandas section

By Katerina K

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Jun 4, 2020

The Capitol about API was not useful, the Lab exercices didnt work for me.

By S. S

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Apr 18, 2019

Week 5 assignment needs proper instruction and needs to be more organized.

By Cindy C

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Jun 13, 2022

Way too much information to try to digest. Should have a companion book.

By Barun M

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Jan 19, 2022

this course is pretty much basic .The course name should be basic python.

By Slavik I

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Nov 12, 2019

Too little about too much. Nothing is explained and nothing really shown.

By Francis K W

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Oct 21, 2019

Well detailed.

However, would have loved to get more learning on dashboard

By Brenda K

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Aug 3, 2019

Only for learning the basics of python. not much on application examples.

By Poem D

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Dec 21, 2023

This course will get you started, but it does not cover python in depth

By Stéphan D

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Feb 20, 2022

Some technical problems while running the course, some content broken.

By K K R

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Apr 14, 2023

I am unable to pratice the course because of code is give very short.

By BHADRAM R S S V

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Nov 8, 2022

It tells about the basics of python ,and also its role in datascience

By William T

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Aug 18, 2020

The final project can become confusing, and almost impossible to pass

By POORVI G

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Jul 5, 2019

The course could have been more engaging for a beginner level student

By Jamie B

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Nov 5, 2018

There is some incorrect content and videos that do not work properly.

By Tan N

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Feb 22, 2022

Hard to approach the lab as there are several network errors issused

By Eleanor D

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Apr 21, 2020

Did not like using IBM Watson - was to complex and not user friendly

By Motasim A

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Aug 8, 2022

needs work. quizes questions are repeated twice. bad teaching flow,

By melek h

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Apr 30, 2020

Nice training but final assignment's last optional one is not clear

By Xiwen L

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Nov 9, 2019

Very good illustration, but in week 3, there are too many mistakes.

By Karim M

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Nov 13, 2023

there was a few glitches in the lab i hope you would consider them