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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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6076 - 6100 of 6,678 Reviews for Python for Data Science, AI & Development

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

By ROGERIO D C C

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Aug 22, 2022

The course is good, but the labs, lot of times can not be executed

By Avi

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Nov 5, 2019

Not the best course to take when you want to properly learn python

By Heather R

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Dec 25, 2018

The course had typos in the final assignment that were misleading.

By Angel O

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May 2, 2022

The Numpy, Panda and Rest API course wasnt as basic as it should.

By Said T

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Oct 8, 2021

To less information in to much content. And why AI in the header?

By Larry A

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Jun 30, 2023

Wish the video lessons could be clear. Some parts are confusing.

By עופר ג

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Jan 3, 2024

in my opinion, it is shallow. I expected to gain more knowledge

By Anthea C

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Jul 6, 2021

Some code is outdated and not correctly formatted in the quiz.

By Yawen X

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May 26, 2021

from wk04 on the course content become very difficult to follow

By Isaac N L B

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Jan 27, 2020

Could have been a little more detailed with better assignments.

By Wayne L

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Oct 12, 2019

could use a deeper dive into numpy, pandas and their extensions

By Guille G

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Jul 1, 2022

Ultimos modulos muy complejos como para ser nivel principiante

By Shubhanki G

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May 13, 2020

course is bit slow and API chapter can be taken in more detail

By Himanshu P

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Mar 9, 2019

I think the final assignment didn't do justice to the course.

By Germán G

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Nov 18, 2021

it is difficult to understand and some programs did not work

By Patrick J

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Aug 17, 2021

Lots of times the content in the videos is to fast to follow