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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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6001 - 6025 of 6,679 Reviews for Python for Data Science, AI & Development

By Letian Y

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May 28, 2021

Ambiguity in which areas are necessary. API, Webscraping could have been explained in more detail

By Adrian . E

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Oct 21, 2022

The course should have given students the opprotunity to test their coding skills in the exams.

By Leif K

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Jan 15, 2021

als Einsteiger Kurs geht es recht schnell vorwärts, teilweise würde ich mehr Erklärungen erwaren

By Adarsh A N

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Apr 19, 2020

Need more assignments on Python. Requires much more emphasis on libraries like pandas and numpy.

By Gabriel A

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Jun 13, 2019

Best thing about the course are the notebooks. Other than that, the lessons feel rather shallow.

By Benedikt C

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Sep 6, 2021

Good to follow and understand but not that much to do by your own to practice the learned stuff

By Kyle I B

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Oct 9, 2020

Sometimes was poorly organized, very hard to access information, coursera interface is lacking.

By Brian h

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Apr 16, 2020

For a non-programmer I found the pace too fast and often did not understand the course content.

By Muhammad F K

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Aug 4, 2023

it was awesome experience regarding python learning with an efficient and knowledgeable videos

By Salil K

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Jun 25, 2020

Good course ...covers the basics and gives an overview for those who want to understand Python

By Indu C

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May 1, 2019

Assignment 5 instructions were outdated and confusing and took some googling to figure out.

By Mike K

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Apr 12, 2019

Good course syllable, but some tasks, especially final assignment, are raw and include errors.

By Mohammed M H

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May 3, 2020

Was not that good as it should be . The basic part was good and the advanced part was too bad

By Rufus T

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Apr 13, 2019

Good course, well structured: but assignments not always clear and that costs a lot of time !

By Mukul P

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Jan 16, 2019

Basic Course - I would modify the title to reflect something like "BASIC / FOUNDATION / 101"

By Aviv H

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Sep 15, 2018

The python part is good but the pandas is outdated.. df.ix for instance has been deprecated.

By Sherrissa W H

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Jan 14, 2024

The hands-on environment was a let down but the provided information and examples was good.

By Joy A

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Oct 10, 2022

First 3 weeks are very clear, 4th and 5th week you feel like you missed a week in between.

By Ivanov P

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Jun 3, 2022

I had to use other Materials and sources to do the Labs, Coursera materials was not enouph

By Muhammad N K

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Mar 19, 2021

It should include assignments because only quizzes are not enough to testify the knowledge.

By Himanshu R

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Apr 30, 2020

it was very easy ,it had just simple concepts which many know ,very less new thing to learn

By raviteja g

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Jun 8, 2019

Pretty basic. Few items, for instance the endpoint link in the assignment, need correction.

By Steven C

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Jul 12, 2024

somebody needs to review the lab and quiz materials to make sure they are actually correct

By ioana r

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Nov 16, 2022

starts well but than suddenly it is more difficult without any explanations or whatsoever

By Ranajoy D

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Mar 6, 2021

Expected to be more in depth and give some indepth handson context of AI and development.