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

4.6
stars
35,390 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

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.

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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4776 - 4800 of 6,224 Reviews for Python for Data Science, AI & Development

By Bernard T A

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Mar 29, 2021

I will recommend this course for a newbie in python programming.

By T J F

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Apr 16, 2020

Great course. I had some difficulties to execute some tutorials.

By mohamed s h

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Mar 1, 2023

Good. but it only covers a little bit about Data Science and AI

By Vasileios G

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Dec 20, 2022

Great course, would like to have more practice on writing code.

By TAOUFIQ A

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Oct 12, 2022

all basics needed for starting coding with Python are included

By CHETSI B

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May 7, 2022

Nice but some codes were not not able to be executed in the lab

By Ananya k

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Jul 12, 2021

Well explained but a little more time should be given on topics

By LI L

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Apr 19, 2020

All are good, just API part can be more specifically explained.

By Rogelio F

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Aug 30, 2019

It's a little too basic, but overall it is a good introduction!

By Hans A E

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Nov 29, 2020

Very good and challenging, good length and level of difficulty

By Kapil S

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Nov 29, 2020

Perfect for beginners in the field of Data Science with Python

By Aditya D

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Aug 17, 2020

Good for new learners and learning python from scratch was fun

By Adeyinka O

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Jul 7, 2020

More examples are needed and the course seems too simple/basic

By Massimiliano D

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May 18, 2020

The course is well done but it is quite superficial in python.

By Srinivas S R B

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Apr 30, 2020

Well Explained About Py and Py importance towards Data Science

By Fab T

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Nov 27, 2018

few errors in the ppt, exercises, examples... but great course

By Segovia D

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Sep 9, 2022

Buen curso para la introducción a la programación con Phyton

By Arnab A

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May 3, 2022

The course was good but not recomended for basic programmers.

By Rajneesh K

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Mar 9, 2020

Course is very good for learner who just start using python.

By syed y

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Feb 16, 2020

the course delivery was a bit fast for first time programmers

By ANUSHKA M

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Dec 29, 2019

It was too fast. The modules could be explained little slowly

By Syed M H

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Nov 7, 2019

This course is more about python and less about Data Science.

By Andre W

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Feb 13, 2024

good course helped me a lot as I didn't know where to start.

By Muhammad T

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Jul 19, 2023

some of the functions used in the code are non existent now,

By Daniel D

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Mar 15, 2023

A great introduction to Python and its uses in Data Science!