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

4.6
stars
35,613 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

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.

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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4301 - 4325 of 6,264 Reviews for Python for Data Science, AI & Development

By Alan J

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Aug 1, 2022

Great explanations with good examples. This course give you a really good boost if you are getting into data science career, you'll just have to polish the skill you gained from this.

By William N H J

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Apr 25, 2020

I am someone who likes a supplementary textbook in conjunction with an online course. I've downgraded my rating to 4 stars because no supplementary book is identified for the course.

By Wanying C

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May 13, 2020

I am not a beginner for Python and I know that this course is not completely for beginners. It took me a while to finish the final project which is much harder than previous courses.

By Abhishek K

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Aug 21, 2019

This course is easy to understand but you need to have little programming knowledge beforehand. I would have loved it more if the topics covered under this course were in more depth.

By Mollie C

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Jun 15, 2019

Final project notebook needs to be edited by the instructors. The instructions in some places are misleading and the English/grammar is awful in places. I think this can be improved!

By Yeh Y J

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Jan 12, 2020

Great Content. Really pushed someone who have no knowledge of Python to think like a Data Science but some technical elements need more explanation. Especially the final Assignment.

By Mateo M S

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Jun 27, 2023

Buena introducción sobre Python y todos sus fundamentos. Creo que la última parte del curso puede resultar un poco difícil para aquellos que recién estén aprendiendo este lenguaje.

By Catherine B

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Nov 14, 2022

Labs were very helpful. The week 3 labs took a sudden big jump from simple to complex. Some interim exercises, such as practicing some simpler functions, would improve the process.

By Uriel G

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Sep 25, 2019

Im aware that this is an introductory course, but sometimes it felt like I only needed to run the cell on the labs to get the answer, which is fine but I would liked more exercises

By YASHODHAN M

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Feb 13, 2023

It is overall good course. But some concepts were explained in a hurry(webscraping, file handling, etc.), so students be ready to do a lot of self study. Nonetheless, good course.

By Joseph A V

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Sep 7, 2020

Good course and well scaffolded. The end project is fine but not really project-based. Students shold be told to go to forum to beg for peer reviewers in order to finish course.

By Sagar S

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Mar 22, 2020

The last US analyze was not that great. students were not given much information before proceeding to the exam, which resulted in some problems. But the entire module was perfect.

By Collin C

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Dec 4, 2019

Lots of valuable information, but there are mistakes in the videos, the IBM instructions are outdated, and the quiz includes several questions that we never learned how to answer.

By TheUnho

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Sep 24, 2023

This course is good in that the course is interactive so we can try and error, but there are too many typos and sometimes making it troublesome. These points need to be improved.

By Adarsh R

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Dec 22, 2019

this course has been really quite informative. It gave an immense opportunity for learning. However, I would appreciate if we have more hands-on problems under graded assignment.

By Mohamed K

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Oct 7, 2019

This course was so helpful and useful but one single issue that the last assignment wasn't well_explained due to not updating the lab to cop up with the last update of IBM Watson

By Pablo B

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Jan 8, 2024

Me mareò mucho el tema de traducciòn al español y cuando estaba traducido no estaba 100% ok por lo que varias pruebas por entender una cosa que no era me jugò en contra al final

By Saurabh K V

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Jul 20, 2019

1 star down because I think there should be more things like statistics in python, oop in python, etc. Otherwise, the course is just awesome. I'm very happy to learn through it.

By Ben P

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Mar 27, 2019

The final assignment was a bit out of touch with the learned material. It might have been better if we submitted some work done with elements similar to those that were covered.

By Saran J

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Dec 8, 2018

The course contents are well organized. Topics are essential for Python starters. Anyway, it seems there are few incorrect detail and technical problems for the course contents.

By Marc M

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Feb 4, 2022

Hay un salto importante de complejidad despues de ver bibliotecas como Numpy.

Hay que hacer mas enfasis en el web scraping de forma práctica y trabajar mas con lo que se enseña.

By Ankitha D P

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Apr 23, 2020

object and classes could have been better. But overall the course is good. If you have done a python course already and wanna get more details and practice try this course out.

By Zac M

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Oct 11, 2019

This was fun. The notebooks could be better organized and maybe not start with code. The notebooks with quizzes were nice, but the quizzes stopped when we got to the fun stuff.

By Sajid H

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Jun 10, 2022

lab environment was a little bit doghy sometimes that's i have given 4 star rating to this course otherwise it deserved to be a 5 star. please improve lab environment. thanks

By Lennea K

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May 9, 2020

I learned much through this course. Some of the lab instructions were out of date or light on instruction that resulted in a little extra time to figure things out but I did.