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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

Nov 30, 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 10, 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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6801 - 6825 of 7,432 Reviews for Python for Data Science, AI & Development

By Yawen X

May 26, 2021

from wk04 on the course content become very difficult to follow

By Isaac N L B

Jan 27, 2020

Could have been a little more detailed with better assignments.

By Wayne L

Oct 12, 2019

could use a deeper dive into numpy, pandas and their extensions

By Guille G

Jul 1, 2022

Ultimos modulos muy complejos como para ser nivel principiante

By Shubhanki G

May 13, 2020

course is bit slow and API chapter can be taken in more detail

By Himanshu P

Mar 9, 2019

I think the final assignment didn't do justice to the course.

By Germán G

Nov 18, 2021

it is difficult to understand and some programs did not work

By Patrick J

Aug 17, 2021

Lots of times the content in the videos is to fast to follow

By sajid a

May 4, 2020

A lot of typos and confusing explanations in the later labs.

By aliyan a

Mar 29, 2023

Not what I expected because no work given on specific topic

By Arpita A

Feb 25, 2023

it was long journey but not tiring instead interesting one

By Шитикова В А

Jul 8, 2022

Too hard for newbies, 50% of topics are not explained well.

By Md S S

Mar 7, 2021

This is a good course but I expected more from this course.

By 陳淳鈺

Feb 29, 2020

I think the python I learned from this course is too simple

By Kangdi C

Apr 13, 2019

some of the instruction in quiz is incorrect and misleading

By Linda K

Dec 29, 2021

Course material was good! Had trouble accessing libraries.

By Gustavo G

Sep 4, 2021

The course need to be more short, to catch up the concepts

By Daniel Z

Jul 10, 2020

Doesn't explain some concepts fully and has frequent typos

By Rahul S

Jun 21, 2020

Nice Course for Beginner and more practical to understand.

By Sharvari U

Oct 13, 2019

It would be good if videos and the watson studio env match

By Dmitry K

Sep 10, 2021

All over the place with bunch errors and inconsistencines

By Jon P

Apr 21, 2021

The notebooks took an exorbitant amount of time to load.

By Pedro F

Jul 22, 2020

Too basic for my knowledge but it was interesting still.

By Adam L

Mar 24, 2019

Final Project was much different the preceding content.