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

4.6
stars
41,238 ratings

About the Course

Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. 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 individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles....

Top reviews

PJ

Dec 1, 2020

It is a good course and teaches with the basic of Python so that anyone can understand it very well. Videos are good and can easily be understandable to anyone who is new to Python and Data Science.

TM

Nov 18, 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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5476 - 5500 of 7,416 Reviews for Python for Data Science, AI & Development

By vinayak s

Dec 17, 2020

Overall good learning but you can make make it more in brief by giving small small practice sessions.

By Venkat R

Jun 13, 2020

Explaination is good but it require more real life example to reduce the complexity of understanding.

By Partha S D

Feb 19, 2019

the lectures provides an overview and nothing in details is covered. Also, please provide the slides.

By Lizbeth M

Jun 23, 2024

debereria de haber un metodologia mas amigable para quienes no tienen cero conociineto en la materia

By Adari A

Jan 17, 2022

The course content covered in the videos are great but do provide hand-outs for every week lectures.

By Ivan L

May 28, 2021

Though it brings certain Python basics, there is rather limited practical use for the data analysis.

By Ricardo S

Jan 25, 2021

It's a good course, but a lot of important concepts are skipped, especially related to Python syntax

By Ishan J

Jul 16, 2019

The course covers very basics of python. A little bit of in-depth knowledge should also be included.

By RITHUVARSINI A G P

May 24, 2025

Very much intrested while starting this course and completed with more knowledge! Thankyou Coursera

By Felipe C Y T

Jan 29, 2025

The code example needs an update, there are some errors in the object names in some of the examples

By Jeevan K

May 22, 2020

course content is good. but it is fast & person without programming language will have difficulties

By Shruthi R

Apr 30, 2020

The Jupyter notebook is a great way of learning. The course covers basics of programming in python.

By David V

Jul 24, 2024

Maybe some topics like web scrapping and api will be difficult, but in generally its a good course

By Samuel J

Jul 21, 2024

Overall a good course! There are a couple mistakes and sometimes the questions aren't fully clear.

By Dhanni S

Aug 2, 2023

Employed Effective instructional strategies overall. Suggestion: Remove the a few trick questions.

By Diego C

Aug 29, 2019

They need to update slides to the latest screens in IBM Watson Studio. It gets confusing at times.

By Heba M

Jun 19, 2019

Thank you; Course materials and labs are really helpful. Last Assignment is very illustrative too.

By シャンパ

Mar 19, 2019

Final Assignment seems to be extremely irrelevant to the content that had been covered previously.

By giuseppe s

Aug 19, 2018

Fifth star will come whe you abandon peer grade system that steals most of my course time , sorry.

By Haoyu W

Aug 16, 2018

Very basic introduction, but clear enough for beginner.

Finally project have no clear instruction

By Daniel J G B

Aug 18, 2024

Interesting course, provides a good overview of python and its integration of external libraries.

By Kamil S

Nov 22, 2023

Some things could have been explained a bit slower however overall the course is 4.5 star for me.

By zachary b

Mar 24, 2022

everything was good, the webscraping section is not good. Its very unclear and jumps around a lot

By Saloni G

May 8, 2020

Good course but please try to correct all the spelling and grammar mistakes, they're disgraceful.

By kasamba l

Sep 5, 2022

Learnt how to use pandas and Numpy, API basics and web scraping with python in a simple manner.