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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

DR

Sep 28, 2024

This course was really helpful in make me understand all the topics of Python from scratch, including the slightly advanced topics, of APIs, for my level as a freshman just getting settled in college.

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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6826 - 6850 of 7,414 Reviews for Python for Data Science, AI & Development

By Ajmal S

•

Mar 25, 2023

It is too fast for beginner to digest all concepts

By Pamella V

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Apr 3, 2020

The labs final project could be more challenging .

By Kalyana R

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May 1, 2019

more help required for finishing the assignments,

By Daniel E

•

Mar 4, 2024

fallan algunos laboratorios de jupyter noteboook

By Aiswarya R

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May 18, 2023

very helpful to understand the basics of python

By Ahmed K

•

Jan 8, 2024

Course needs to have more details and examples

By Denis K

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Oct 19, 2023

What I expect it is not that much of knowledge

By Gustavo J O L

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Sep 4, 2023

Too long the lessons of the 4th and 5th weeks.

By pavan j

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Sep 3, 2021

too fast teaching, i wont able to grasp easily

By Raymond M A

•

Dec 4, 2019

muy complicado, no empienzan con cosas basicas

By Juliane K

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Oct 2, 2018

level too low. would have liked to learn more.

By Anouk W

•

Feb 9, 2023

Very basic, API knowledge isn't really tested

By Adrian A

•

Jun 17, 2022

It was good.

Few errors in the lab assignments

By Mohamed M A

•

Jul 13, 2020

This course needs some advanced python for ML

By Amy A

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Feb 26, 2023

All was good until the API cramming section.

By Pietro B

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Aug 1, 2024

Some concept needed more time and attention

By Reagan A

•

Jan 2, 2024

nice course, good for the beginners like me

By Andrii R

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Jun 21, 2023

Half of the laboratory work is non-working!

By Mahesh K

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Feb 9, 2024

good but i got to learn very little things

By Biprajit S

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Jun 26, 2019

Some of the things can be simplified more.

By Santiago M

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Sep 3, 2019

Please update the Watson Studio tutorials

By Nermin K U

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Oct 16, 2019

There is nothing about AI in this course

By Nora C

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Apr 26, 2023

I feel more applied practice is needed.

By Arup K N

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Jun 26, 2019

The course should be updated with time.

By Agban o

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Jul 30, 2023

the concept should be better explained