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

4.6
stars
38,831 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

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.

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.

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5301 - 5325 of 6,935 Reviews for Python for Data Science, AI & Development

By Rafael M S

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Nov 10, 2022

This course is a perfect initiation for beginner programmer in Python.

By Vansh B D

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Apr 19, 2022

this course is very useful for us because they teach at a basic level.

By Olabisi S

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Mar 13, 2022

very insightful and helpfulnto kickstart my career as a data scientist

By Francisco H V

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Dec 13, 2021

Good course.

Some of the features at the IBM cloud were not availables.

By Harmeet S

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Oct 16, 2021

Good course to start things off, in learning python to work with data.

By Angela P

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Jul 15, 2021

Some things need a little more explanation but overall a good course.

By Girjesh K

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Jul 28, 2020

Its good course for practice your data science and python programming.

By Damilola A

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Jan 16, 2020

My Dashboard didn't Display. After calling the function appropriately.

By Sahil J

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Jul 4, 2019

more content is needed related to libraries mentioned in the course..!

By Ajai A

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Oct 21, 2024

beautifully crafted ,enjoyed all the videos ..was a tough one though!

By Rebecca W

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Aug 30, 2022

Some more detailled practices with "real" coding tests would be nice

By Jonathan A

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May 13, 2022

Incredible content but bland instruction and horrendous presentation,

By Anjala S

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Feb 18, 2022

Its was great experience .Open skill tools for upter was not loading

By Krishno S

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May 11, 2020

Excellent! Nice Course. Very experienced and good teacher. Thank you.

By Brett R

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Jun 19, 2019

Really enjoyed the course and getting hands dirty in python code ;-).

By FREDY M L

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Nov 23, 2024

A basic course that introduces the basic of Python, NumPy and Pandas

By Aminat A

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Apr 13, 2023

Not much feedback and hard to easily review feedback on the quizzes.

By Hizniye I B

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Jun 29, 2021

Very beginner friendly, not suited for more exprienced programmers.

By scico m

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Jul 10, 2020

that was suitable just for beginners but i wasn't really a beginner!

By Ramineni E R

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Jun 11, 2020

Course is very well and easily understood. And topics are excellent.

By Language L

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Feb 23, 2020

Great material, but IBM offers the same course at their cognative.ai

By Sarath S

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Oct 8, 2019

Good understanding on the basics of python required for Data Science

By Dimitar D D

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Oct 2, 2019

Informative. Suggested to people at beginner and intermediate level.

By Aurelio L G

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Sep 12, 2019

Muy bien en general, pero creo que faltan más ejemplos y ejercicios.

By SARTHAK S

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Apr 4, 2019

There are many mistakes in the slide and are not corrected properly.