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

4.6
stars
41,436 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.

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5926 - 5950 of 7,453 Reviews for Python for Data Science, AI & Development

By CHALLA R S

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May 13, 2022

thanks giving wonderful opportunities for me

By Laurent D

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Feb 5, 2022

very clear and useful introduction to python

By Rudra N B

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Sep 23, 2021

I am very much glad to complete this course.

By Justin M

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Apr 21, 2020

would have liked more practice with the labs

By Diego A

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Jan 10, 2020

Great course, with great hands-on practices!

By Olli

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Mar 21, 2019

The final exam could have had more questions

By Meesala P K

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Apr 30, 2023

useful content with good examples provided.

By Aykut S

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Feb 26, 2023

Good explained but need more practise parts

By Gontse M

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Sep 7, 2022

the course taught me alot about programming

By G v

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May 27, 2020

A small confusion while calculating #8.5 %.

By Suhas D

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May 23, 2020

This course covers basics of python nicely.

By ABHINAV S

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Mar 31, 2020

Grading of the assignment is not explained.

By Jack G

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Feb 23, 2020

Great introduction Python and data science.

By Rajesh P C

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Feb 6, 2019

The course was really good and challenging.

By THATICHERLA S H

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Oct 13, 2024

very helpful to learn the basics of python

By Harith Y

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Jun 13, 2024

Some topic need to be explained in detail.

By Smitha K

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Aug 31, 2023

thanks but struggling with the next module

By BOULARES L

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Apr 19, 2023

thank you so much for this fruitful course

By Vedika M

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Sep 29, 2021

Great course to learn Python from scratch.

By Hassam B

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Apr 20, 2020

Very slow. Wish labs were more interactive

By Ulises G M C

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Mar 5, 2020

Need more diffuculty in the last assigment

By SANTOSH K M

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Dec 30, 2019

This is real time based learning platform.

By Saransh G

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Jul 6, 2019

Could have been tougher with more concepts

By Frankz K

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Mar 30, 2019

Not so much projects, but very informative

By Nobuaki I

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Feb 27, 2019

Everything but the last project was great.