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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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4426 - 4450 of 6,222 Reviews for Python for Data Science, AI & Development

By Phillip J L

Apr 22, 2020

Good introduction to python, coming from someone who has never coded before. Did need to do some supplemental reading to catch up.

By Mohammed H

Oct 4, 2021

some questions are not related to the concept but related to the slides or lab. to answer, you need to return to related material

By POPURI A S

Jul 7, 2020

The course at the beginning seemed very slow, but later at the ending, it was rushed. The lab work could have been more detailed.

By Юра Б

Mar 6, 2019

As for me final assigment must be more complicated and maybe include some simple app, that involve all knowledge from the course.

By K L N S

May 30, 2023

Good in terms of the Basics of Python and its libraries like NumPy, and Pandas. Not suggested for people who are aware of this.

By jonathan

May 15, 2020

Okay but pitched a bit simple for my programming level - people with coding experience in other languages may find this too easy

By Frances L

May 11, 2020

Loved the workbooks, they were so helpful, found videos a bit fast moving and difficult to understand aside from that very good.

By Tahlia G E

Apr 17, 2019

Very well structured course. Introduces a novice to the core elements of Python and NumPy. I highly recommend doing this course.

By Tanveer D

Sep 9, 2023

the course was quite helpful. thanks to the coursera team.

the video and the lab - that was fantastic.

really loved the course...

By Thilini S

Oct 8, 2020

speech to text language translation part is not that much clear for me. I would like to give a suggestion to improve that part.

By Bhavya D

Jun 2, 2020

Course contains basic knowledge about python used in Data Science. But more extra efforts are needed to enhance our knowledge.

By Nehal M

Jun 11, 2023

it was a really great and helpful course . i wish they would have helped with atleast one course related project at the end .

By Pradeep C

Mar 5, 2023

Lot of areas covered enable learner to draw a roadmap in which direction they want to go ahead in this vast area of AI and ML

By Daniel D P

Jul 16, 2022

I wish the course would allow for more of actually writing out code oppose to reviewing what it should look like in the labs.

By Chijioke I

Jan 18, 2022

A great course all round with user friendly exerises to match, some of the notebooks are not compatible with vs code offline

By ARJUN S D

May 16, 2020

Great course for basics of Python, however API could have been explained in a better or a simple way without rushing through.

By Prasenjit D

Apr 22, 2020

The optional exercise in Week 5 is a little difficult to follow but other than that, this course is very detailed and useful.

By Kashyap M

Dec 16, 2018

It was a good course, but the last week's peer graded assignment wasn't much helpful and it didn't make much of a sense to me

By Chris R

Jan 30, 2024

This course gives a good understanding of the python basics. The only improvement would be to provide more hands on practice

By aliahmed a

Oct 21, 2023

It was a very helpful course & much more understandable than some other courses I had related to python for Machine Learning

By Marcos D

Jul 16, 2019

Great videos and labs. The capstone project was a little confusing for some parts. But overall, it was a really good course.

By 溝太智

Sep 26, 2021

This course may help you learn more practical use of Python. If you haven't learned Python, it is definitely worth taking.

By Rishab R

Aug 17, 2021

For learning python, this is a good starting point. People should use this course as a base to start using Python regularly

By Luo Y

Jul 17, 2019

I feel the depth is not enough,but it covers a good range of knowledge. It is a good course to get you started with Python.

By Spataru N

Oct 11, 2018

A good course. The final project isn't really that great. The "Data Science" aspect of the course isn't really that strong.