Chevron Left
Back to Python for Data Science, AI & Development

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

4.6
stars
41,313 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.

EH

Jun 11, 2021

It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.

Filter by:

6726 - 6750 of 7,427 Reviews for Python for Data Science, AI & Development

By Ranajoy D

Mar 6, 2021

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

By Жигмытов Ц

Aug 19, 2020

Не хватает практики. Советую скачивать ноутбуки себе и дополнительно работать с ними ещё.

By Akiilessh S

Jun 4, 2020

Just basics of python. Would appreciate if related more hands-on exercises were included.

By Lubos H

Dec 31, 2021

Sorry guys, but Siri have a better voice than your lecturers. All the way pretty boring.

By Vijay S

Dec 6, 2021

Some of the labs were so confusing, covering advanced topics without proper explanation.

By Rohail

Jun 27, 2024

The videos were great but they wouldn't teach how to use the concepts in different ways

By Umesh B

Jul 7, 2020

Great Course For beginners. I give three stars because i already know all the concepts.

By Salvatore P

Dec 1, 2021

decent, it shows the basics of python required skills through videos and jupiter labs.

By william w

Oct 17, 2021

would love to see the course to stick with the basic rather than going to HTML and API

By John D

Aug 20, 2019

Content is good but course needs to be updated to reflect the changes to IBMs platform

By Bishoi A

Jul 30, 2022

The lecture format is really dull. The assignments doesn't help to attain the skills.

By t r

Sep 11, 2023

it trains base skills for working with python in the field of data science not more.

By Obed H

Jul 23, 2021

Jumps from basics to advanced too quickly, and does not explain complex topics well

By Huang M

Oct 3, 2020

The course is easy for learning, providing us with some basic knowledges of python.

By Alejandro O

Jun 29, 2018

Not the greatest course in terms of hands on experience, but a great starting point

By AYUSH S

Dec 13, 2018

overall the course was great

but the number of questions in quiz is quite less.

By Ege D

Dec 10, 2023

Exams at the end of modules do not represent the content well. They are too easy.

By Denis K

Feb 15, 2022

It is not balanced. It is too easy in the first 3 weeks and too hard in the last.

By Mustafa A

Jul 4, 2020

better to see the instructor not only powerpoint

and add some details and training

By Rishika S

May 30, 2019

inefficient. inadequate.

concepts have been partially taught and are pretty vague.

By Srijan S

Aug 3, 2023

Not Good for complete beginners, only touched topics, haven't explain in detail.

By Mohammed B

Nov 30, 2022

Good course however there should be more emphasis on practice rather than theory

By Pablo J P R

Apr 9, 2022

some examples weren't updated to the last visual configuration of tools provided

By Brent M

Dec 4, 2019

I feel there was a bunch of stuff missing to complete the peer graded assignment

By Antoine M

Apr 3, 2019

final assessment should have been more inclusive to things like numpy and pandas