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

4.6
stars
38,467 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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6601 - 6625 of 6,874 Reviews for Python for Data Science, AI & Development

By Luis M

•

Apr 29, 2022

Course was NOT for Begginers and felt more for Intermediate level experience

By Seow T K

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Apr 15, 2021

very simplified course on Python. Touch on a lot of topics but not in-depth

By Aaron W

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Sep 1, 2020

Very, very basic. It took less than 4 hours to complete a "5 week" course.

By Manoj P

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Oct 30, 2018

What they teach , assignments are totally different very hard for beginners

By Rafael P S

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Nov 1, 2021

Python should be a prerequisite for anyone wanting to learn data science.

By JUAN D T C E A

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Nov 27, 2020

esperaba más del curso, pienso que nos enseñaron muy poco de data science

By Dola F

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Dec 12, 2018

Homework was poorly explained which made the task difficult to complete.

By Mr_Ayush

•

Jul 20, 2024

If the Course is free then you are asking to purchase while giving quiz

By Jim C

•

Apr 6, 2021

Information provided is useful, but the production quality is terrible.

By Alejandro Q M

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May 1, 2022

The course is not very fluid and becomes overwelming by the end of it.

By alessandro.schiavoni

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Jun 11, 2024

Videos are terrible, much more useful to just read the proposed labs

By Amit D

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Jul 11, 2020

This course could have been more detailed and with better exercises.

By shreya m

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Jul 24, 2019

The course material was not good enough to complete the assignments.

By Alexander V

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Jul 12, 2019

Final Assignment posting is confusing and instructions DO NOT help.

By MD Z

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Jun 18, 2019

Course material is just too bad, Explainations are very bad as well

By aziz E

•

May 30, 2022

bonjour

je veux mon certificat (badge de complement des cours....)

By Adarsh S

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May 4, 2019

Instructions unclear. Required forum for certain things to work.

By Shammi D

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May 21, 2024

It's very basic and Simple. Should have been more challenging.

By Latoya B

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Sep 15, 2020

Lessons are easy and don't really relate to the final project.

By Yaakov A S

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Dec 7, 2021

Needs a lot of improvement, and questions should be harder.

By Vitali B

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Feb 2, 2023

Big difference between theoretical part and practice part.

By Santhosh T

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May 24, 2024

there was no proper format to put it in the complier....

By Srihari m

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Nov 2, 2022

on getting certificate we facing a lot of problems......

By Erika G

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Mar 21, 2022

Not enough lecture, examples aren't comprehensive enough

By Bleda O

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Jun 26, 2023

Too abstract, vague narrative with unrelated examples.