Chevron Left
Back to Python for Data Science, AI & Development

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

4.6
stars
38,467 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

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.

TM

Nov 17, 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

Filter by:

4451 - 4475 of 6,878 Reviews for Python for Data Science, AI & Development

By Charkhawala U J

•

Oct 15, 2024

.

By kunal k

•

Sep 14, 2024

.

By Keylin C S

•

Sep 9, 2024

.

By SERGIO A E A

•

Apr 18, 2024

.

By Farrux B

•

Jan 26, 2024

5

By Viswanathan R

•

May 18, 2023

By Sanjoy k P

•

May 13, 2023

v

By RAFEL A

•

Jan 17, 2023

By NIVEEL R B

•

Nov 17, 2022

5

By Aditi D

•

Aug 9, 2022

-

By Tejaswi

•

Jun 27, 2022

.

By Sanjeev d

•

Jun 1, 2022

x

By Ashish G

•

May 11, 2022

G

By Natsag

•

Nov 30, 2021

o

By Nithiya G

•

Oct 7, 2021

.

By Medha R

•

Sep 2, 2021

.

By Vu C T

•

Sep 1, 2021

By Trang N

•

Jun 30, 2021

By Ali C B

•

Nov 2, 2020

.

By BALAJI

•

Jul 30, 2020

.

By JIANHUI L

•

Feb 15, 2020

T

By Antonio C

•

Dec 28, 2019

.

By Carlos P

•

Jun 10, 2019

.

By Meet P

•

Apr 20, 2019

1

By Gargi M

•

Aug 17, 2020

Thank you for giving the opportunity to learn Python.

As for my review of this course, I suggest proofreading the labs before publishing them because they have many spelling errors. Since one of the recommended qualities of a Data Scientist is to be detailed oriented, it would be better for all the English and non-English speaking students to have instruction without errors. This will set a good role model for them to be more aware of their work.

Additionally, it would help students who have no prior knowledge of Python to be given some context before starting the labs. There are some labs that expect more than what is explained in the videos.

In regards to creating an object in Watson Studio, I highly recommend including Alex Aklson's video in the curriculum. Screenshots that are provided for the labs are helpful, however, the video is more comprehensive, and the step-by-step process eliminates confusion. Please devote more time to the subject of Numpy as it seems to be a vast subject and needs more instruction and examples.

Overall, this was an informative course that had an enormous amount of material to cover. Thank you once again and continue teaching thousands of students like me around the world.