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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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2576 - 2600 of 7,414 Reviews for Python for Data Science, AI & Development

By Mobina Z

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Feb 9, 2021

it was a good complete and practical course

By David s

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Jan 24, 2021

Perfect for initiation in the data science.

By Adhitya G

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Dec 31, 2020

One of the best courses that I came across.

By Carlo P

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Aug 31, 2020

Best course on Python I have ever attended.

By Rahul C

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Aug 19, 2020

Really good course, good for beginners too.

By crystal z

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Aug 6, 2020

great step to step tutorial, easy to follow

By Ben M

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Jul 26, 2020

Another great course in the specialisation!

By Abhinav R U

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Jul 12, 2020

A Good course for beginners in Data Science

By KANIKA G

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Jun 20, 2020

Videos are really helpful for the beginners

By Shivam T

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Jun 8, 2020

It was amazing and very much helpful to me.

By Hrishikesh N

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Jun 2, 2020

Best Course for Python and nice explanation

By Diego A F P

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Apr 22, 2020

Great course, provides the basics in Python

By shreebuvan

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Mar 22, 2020

excellent course for learning python basics

By David O

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Feb 14, 2020

Well thought and highly practical oriented.

By Ranjeet S

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Feb 6, 2020

That was great experience ..learned so much

By Esha M

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Dec 24, 2019

Very helpful! Thank you so much professors

By Parab N S

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Oct 13, 2019

Excellent course on basics of Python by IBM

By Francisco A

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Sep 11, 2019

Great introductory course. Easy and useful!

By Harshit P

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Jun 12, 2019

Great course for beginners in Data Science.

By RK

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Apr 29, 2019

one of the excellent course and very useful

By Chandrakanth R

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Apr 24, 2019

Excellent course with challenging exercises

By Vasilis K

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Mar 26, 2019

Great Comprehensive and to the point course

By SONAL C

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Feb 24, 2019

Python concepts are clear and to the point.

By Syed S A

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Feb 23, 2019

Amazing course for Data Science Enthusiast.

By Qixin W

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Nov 4, 2018

Great course to learn Python as a beginner.