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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

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.

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.

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6226 - 6250 of 6,937 Reviews for Python for Data Science, AI & Development

By Ranjith K

Dec 8, 2019

Really had great experience with Coursera and keep loving you and thanks for giving this oppurtunity to me

By Preston K

Oct 4, 2018

This class could involve a lot more exercises and projects, including projects that are less well defined.

By paila A

Jul 26, 2022

nice to learn data science and Ai developement. better improvent to learning and gain particel knowledge.

By AKSHAT S

Mar 29, 2021

This module only covers some of the basic concepts and a lot of the other important concepts are missing.

By Chinmay K

Sep 14, 2023

A little more difficulty would be appreciated ! Especially in the basics. The lab sessions are too easy.

By Andrea W

May 5, 2020

Decent intro to python. However, it could use a lot more examples to work through to get used to coding.

By Damilola O

Aug 10, 2020

It was a great experience learning python for data science and AI from my amazing lecturers. Thank you.

By Paolo V

Dec 12, 2023

Very basic course. I have found the quizzes and tests way too easy. It could use a real-world project.

By Kondwani “ G B

Aug 28, 2021

It was hella long, and the IBM waston was not user friendly. Overall it was a good basic python course

By Luwei X

Dec 3, 2019

The class is good, but the IBM platform is not good and it's so frustrating by using the IBM platform.

By JE S

Sep 5, 2024

The labs were not very good, there were unclear instructions and incorrect solution key code snippets

By Muhannad A

Dec 18, 2023

its very good part but for new person using python, to learn more he is need more application videos.

By Anna M M

Mar 1, 2021

Not as challenging as I hoped for. Would have been nicer if had coding tests instead of theory tests.

By Bao M D D

Jun 20, 2019

The final assignment is more about how to use the storage of IBM then to learn how to code in Python.

By Harsh G

Jun 1, 2024

The Course could have been organized better. At certain places the content was not in correct order.

By vish n

Jun 19, 2022

should have given atleast 50 more excersises for practising each week to get the knowlgde thoroghly.

By David B

Jun 24, 2019

The course content was good. I had issues with the external cloud platform and the final assignment.

By Vihaan P

Jun 28, 2024

Too fast paced couldve been better many modules we just skimmed over stuff and not explained well

By Letian Y

May 28, 2021

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

By Adrian . E

Oct 21, 2022

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

By Leif K

Jan 15, 2021

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

By Adarsh A N

Apr 19, 2020

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

By Gabriel A

Jun 13, 2019

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

By Benedikt C

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

Oct 9, 2020

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