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

4.6
stars
38,666 ratings

About the Course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. 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 anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles....

Top reviews

DR

Sep 27, 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.

MA

May 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

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826 - 850 of 6,909 Reviews for Python for Data Science, AI & Development

By Abhishek

•

Sep 12, 2024

very good explanation and I feel very confident about my future journey with cousera that i will be in good hands for learning for my future journey

By Roderick W

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Jul 6, 2022

The course was very rigor and student and staff friendly to learn the latest programming and math skills for Python, Data Science and AI Development.

By Alessandro B

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Jan 6, 2021

a very good course for who wants to get started in python and AI. The lectures have very good explanations per video, written and helpful excercises.

By Mohamed A A

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Apr 2, 2020

It is a fantastic course. I have learned a lot a bout programming and data structure with python and that help me to build new models in data science

By Chairul A

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Jan 29, 2020

Great intro to Python with awesome Jupyter notebooks examples. Take this course if you "know" you want to learn Python and don't know where to start.

By Jayesh M

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Jan 21, 2020

Great content, for the freshers, as some experienced person find it very easy. Good content with proper formatting and good coding practices and all.

By Jason D

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Aug 25, 2019

Good course for Basic Python. Also gives a nice introduction to the Pandas and NumPy libraries in Python. The labs are very useful and well designed.

By Shivam S

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Aug 21, 2019

Very well explained concepts and amazing practical work ! This course is definitely a great start for people looking to learn Python for Data Science

By Shubham K

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May 16, 2020

The course was very helpful to get the knowledge of Python in applying to Data Science and AI. Thanks for the financial aid to complete this course.

By ANKIT V

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Aug 13, 2024

"With the freedom to learn at my own pace, I can tackle courses whenever my schedule and mood allow, making the experience so much more enjoyable."

By Anuja N

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Nov 19, 2023

This was my first course on Coursera and i found it really helpful and educative and i am really thankful to Coursera to help me building a skill.

By Edison C

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Apr 28, 2023

Es un buen curso para iniciar con Python y conocer ciertas técnicas avanzadas para manipular datos, falta un poco más de detalle en temas grráficos

By Gábor R

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Apr 16, 2023

I have really enjoyed this course, the content was well organized and high quality. Thank you so much for making this course available on Coursera.

By Darshan K

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Jul 3, 2022

This course really a good to learn Python for data science. I learned a lot and even good hands-on examples give the best knowledge about the same.

By Ramón B

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Nov 26, 2021

Great review of the basics of Python. From 0 to pretty good level of knowledge in just 5 weeks of course. Took me three full mornings to completed.

By Data A

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Apr 23, 2021

It gave a basic understanding of how Python is used in Data Analytics.

Instructors were very detail-oriented in explaining every step I should take.

By abitz s

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Jul 20, 2020

A great course for Python beginners. The last homework lacks enough explanation, which confused me. However I got the solution in the course forum.

By Liviu B

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Oct 16, 2019

This basics programming course for data science left me feeling that Python is so nice and elegant, simple and powerful, clear and logical.

Thanks!

By Aahna S

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Nov 9, 2024

This course was good for beginners to understand each term and to know the step of Data Scientist is Data Engineer processing. I like the module.

By Nelson M

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Sep 1, 2022

Excellent ! This training is oriented to those who has the basic knowledge on programming. The lectures are quite clear. I recommended it so far !

By marcelo c

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May 3, 2022

Excellent Course!!! Teaches all the key important aspects of the Python language. Must be enrolled by anyone who is following this trainning path!

By gaurav b

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Jun 24, 2021

It was a very fast paced course This is recommended for those who are having basic knowledge of python so that they can cope up with the indepths

By Moiz

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Aug 3, 2020

Great course requires no prior programming experience and covers basics in detail. Would recommend to anyone looking to start somewhere in Python.

By Damilola O

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May 2, 2020

This course is the most intense I've come across so far, but very deep and insightful at the same time. I'm happy a good foundation is being laid.

By Thái H D

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Mar 18, 2020

The course is really helpful to start using python and related libs for data manipulation and analysis. Much appreciated lecturers for the course!