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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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5126 - 5150 of 6,688 Reviews for Python for Data Science, AI & Development

By krystal w

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Jul 2, 2018

I enjoyed the class but the interface for labs could use some work.

By teri m

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Jul 7, 2022

Not the basics, but I do have the need to learn more about Python.

By daniel b

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Apr 16, 2020

Excellent introduction,good material more exercises would be nice!

By Sachin S

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Feb 14, 2020

It was the great tutorial for the beginners and really enjoyed it.

By Wen J

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Dec 10, 2019

some instruction on navigating the site is outdated and confusing.

By Sergio M C

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Oct 11, 2019

Even though it was a bit superficial, I believe it`s a good start.

By Omkar P

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Sep 1, 2019

Nicely designed. Week 5 assignment is confusing .Therefore 4 stars

By Hassan B

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Aug 31, 2019

It was a great course .

It still need for more exercices and labs .

By Jakhongir N

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Aug 15, 2019

the course is well organized but needs to be updated in some parts

By EHTESHAM A

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Jul 13, 2019

I'm very happy to do this course,it helped me lot in data Science.

By Peter A

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Jan 14, 2019

Good course but there are some mistakes that need to be cleaned up

By Aishwarya N

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Jan 11, 2024

Its just basic and its truly helpful for a beginner level person.

By SAMEER G

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Jul 6, 2023

Course is beginner friendly and does give introductory knowledge!

By Ben A

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Sep 29, 2022

The ungraded labs did not load sometimes but it was good overall

By saif h

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Jul 6, 2022

it will be better if you explain more coding procedure in python.

By Noe G F

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Feb 26, 2022

Buen curso de introducción a Python y con laboratorios de pruebas

By Jason P

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Aug 14, 2021

Provided a great foundation, however light on the coding aspects.

By SHASHI K

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Oct 22, 2020

Watson lab for final assignment - tool is not much user friendly.

By Cainã M C d S

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Apr 10, 2020

It's a very good course, although it's pretty basic for its name.

By Alok K

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Mar 1, 2020

Last assignment was such a pain, it was not clear that how to do?

By Dinh P B

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Nov 6, 2019

Please more detail discription for Question 5 in Final Assignment

By SHREYA P

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May 29, 2024

module 5 was more lengthy, with various topics hurriedly covered

By Ram K

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Sep 4, 2023

Nice, Learn the concepts of data science filling the confidence.

By Charbel Fouad

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Apr 17, 2023

Very good course. But it will be better if there is more example

By Izzy O

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Jul 25, 2022

Well structured and explanatory. Worth giving the course a try.