Back to Python for Data Science, AI & Development

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

4.6

stars

42,722 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

May 17, 2020

It is a good course if you have previous knowledge in python, in my case I did not have too much expertise in Programming and it was very difficult the las 2 weeks (4 and 5). However i learned a lot.

Dec 11, 2019

All the basics for Data Science with Python. You wont be a master programmer after this class but you will understand the basics and computer logic in regards to data handling and cloud management.

Filter by:

2751 - 2775 of 7,732 Reviews for Python for Data Science, AI & Development

By Md H

•

Mar 5, 2024

I have enjoyed this course.. Thanks IBM.

By C. P

•

Feb 27, 2024

very comprehensive helpful and cohesive.

By Ozan

•

Dec 16, 2023

Excellent , this course helped me a lot.

By TANAKA C M

•

Nov 22, 2023

Good and well structured python learning

By Nikhil k

•

Nov 6, 2023

Great learning time with IBM instructors

By Kaja N

•

Mar 14, 2023

Very helpful Subject Thank you so much!

By Hamed S

•

Nov 11, 2022

Great materials to cover basic of Python

By BRYAN Y P N

•

Oct 6, 2022

excelente metodología y buen contenido.

By Roshan K

•

Aug 14, 2022

Course is very useful and easy to learn.

By Jimmy M

•

Jun 1, 2022

It was exellent and well detailed course

By Abraham M

•

Apr 25, 2022

The course provided insights into Python

By SZ Y

•

Feb 26, 2022

Excellent overview for a python begineer

By Manuel W

•

Feb 11, 2022

Very good material and labs were helpful

By Ajay s

•

Jan 10, 2022

it is wonderful and labs a good practise

By Adrian G

•

Oct 9, 2021

good course to cover python fundamentals

By Ziad A

•

Aug 27, 2021

Excellent, well presented and organized

By Sutirtha S

•

Aug 22, 2021

It's very much helpful for the students.

By GOURAV S

•

Jun 30, 2021

Felling always great to learn new things

By akmal t

•

Jun 25, 2021

really good intro for a beginer like me

By Hassan H S

•

Apr 20, 2021

really informational really good mentors

By Thomas C

•

Feb 25, 2021

very good. takes a good amount of effort

By SIVAKOTI S

•

Jul 26, 2020

Really best course with hands on project

By Maria C

•

Apr 11, 2020

The best Python Course I have even taken

By Shishay H

•

Mar 30, 2020

The API section can be presented bettter

By Luke W

•

Sep 18, 2019

Awesome intro to some popular libraries.