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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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851 - 875 of 6,909 Reviews for Python for Data Science, AI & Development

By Hassan A

•

Mar 9, 2020

It was one of my fav course. The hand-on labs were mind blowing. I learned a lot of new things.

Thank you Coursera for bringing this course online.

By Mari M

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Dec 2, 2019

Very useful course and more interactive. Examples are very easy to understand and Lab is really awesome to do our exercise and explore more on it.

By SACHIN G

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Oct 11, 2019

The course is made in very simple language, anyone can learn from this course. The most amazing part of the course is Lab. Love you IBM & COURSERA

By Joshua W

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Feb 23, 2024

Videos and diagrams are super helpful. Not sure I would have passed otherwise. This is my first time having anything to do with coding....ever.

By Sooraj S

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Oct 23, 2023

It was a great journey on going through the modules this course had provided. Thanks for giving me such a comprehensive curriculum in simple way.

By Snehank

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May 13, 2023

The course helps in the better understanding of the core python concepts.

And also gives the brief knowledge about the pandas and numpy libraries.

By Birhane A

•

Jan 25, 2023

I got this course very interesting. The course materials are presented in a very clear, understandable precise and to the point manner.

Thank you!

By Nishant

•

Nov 27, 2022

Great course offered by IBM

Thanks to coursera for this course. Almost every topic is covered in this course.

Thanks again. It will really help me.

By Vardan S

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Oct 18, 2022

It was great to start with this course because it was my first time learning python . Yet i was able to follow along nicely so thankyou so much.

By Jeferson S

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May 29, 2020

Very objective and weel explained!

In a short time, you can step away from non-knowledge in python to start undertanding essential Python's tools.

By Dean M

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Apr 5, 2020

A great course, from the very basics to being able to actually do some useful stuff and with pointers as to where to go next. Highly recommended!

By Olamide G

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Jan 21, 2020

This course is easy to understand, I guess it was designed as an easy landing for a novice. It has really been helpful but I feel its not enough.

By Ilyas A

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Jan 20, 2020

Excellent course to start with IBM Cloud infrastructure with focus on python! Extremely useful for novices and professionals in other it domains.

By Serhii S

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Jul 30, 2019

Great course to start with! Easy for people that are new to programming and useful for those who want to switch to another language and paradigm.

By Federico A G

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Jul 7, 2024

Awesome course. It can be done by anyone who needs to start from scratch, and it is very complete as a first approach in programming and Python.

By ANOOP P

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Aug 6, 2023

Nice lectures, easily catching concepts. The part they introduced HTML was amazing, did not expect in this course. Overall a recommended course.

By Davronbek M

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Jan 24, 2023

It has been super useful for me and I can say that It will be helpful who are planning to learn Data Science. Thank you for you Coursera and IBM

By Avni G

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Apr 1, 2022

I learnt many things. The videos were easy to understand and I totally recommend taking this course if you wish to learn the basics of Python :)

By Daniel P

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Jul 11, 2020

I learned skills that I could quickly apply to the tasks and similar situations in real life. Jupiter Notebooks on the IBM cloud are incredible.

By SG

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Jan 9, 2020

It's a well-structured course with a lot of examples and practical materials. I would like to thanks and suggest to update the final assignment.

By Gaurav M

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Sep 7, 2019

Good one.. need to place updated screenshot for the watson. Also for the week 5 storing of the file on the IBM cloud is not working as expected.

By Antonio J T D

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Jul 10, 2019

This course starts from the very basics of Python's data science, but it is very useful to understand the first steps of Data Science in Python.

By Davi P R

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Aug 25, 2024

Excelente curso! Vídeos, materiais, tutoriais de primeira qualidade. O apoio está presente em todas as fases do curso. Não poderia ser melhor!

By Mailson

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Dec 15, 2023

This is a really good review course for somebody who has some knowledge of python. It covers many topics in a very concise and descriptive way.

By Mohammad A

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Oct 3, 2020

The course has many deep concepts in a very short time, and I felt that the project was suddenly overloaded with respect to the topics covered.