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

4.6
stars
35,197 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.

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4251 - 4275 of 6,171 Reviews for Python for Data Science, AI & Development

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.

By Binay N

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Feb 7, 2020

This is very good course if you want to start learning data analysis but not sure where to start from. This course provides introductory concept required for the data science.

By Ye T

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Aug 5, 2019

Need updated and detailed tutorial on IBM cloud and Waston's studio. I have to upgrade from lite in order to finish the HW, which takes some time to go through IBM's support.

By JIS M

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Sep 25, 2023

As a beginner week 5 portions were a bit difficult to follow. I couldn't understand APIs, REST APIs etc. No background on HTML makes me difficult to learn webscrapping also

By Harikesh B

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May 16, 2020

Really gained the most knowledge required for data science. Thanks for this amazing course.

Except for the IBM cloud storage issue(saving notebook to the IBM object storage)

By kamil j

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Jan 23, 2023

The course was good overall. At times the content seemed to skip around from novice to a higher level of understanding without explaining the new content to the novice user

By Reinhard H J

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Oct 12, 2019

Good basis. Could have gone into more detail with respect to classes and objects. Should have also included unit tests, which are absolutely vital for software development.

By Mandefro L

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Aug 11, 2022

The experience of the course was awesome. However, the videos are too short to cover even the basics of the topics. Try to include additional explanations on the topics.

By Khaled A

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Aug 30, 2021

I know how the program structure works and can read and understand simple code after completing. Will need more practice writing code, however, to apply that knowledge.

By Maria C C

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Aug 21, 2021

This course needs to be reviewed and updated. Links are incorrect, screenshots are from old versions of IBM Watson Studio and the security certificates are not updated.

By Aaron B

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Feb 12, 2021

Informative, but lacks step by step, easy to follow, guided examples, and lacks repetitive practice that tends to help with learning coding and working with data frames

By Basavaraj P G

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Sep 4, 2020

Very Good Explanation of Pandas and Numpy. Difficulty level of Assignments is Medium, it can be increased.

Thank You to overall team. More curious to learn next modules.

By Shaheryar A

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Dec 3, 2023

Though this module didn't go through practical exposures e.g; examples through Python softwares for multiple questions but their theoretical concepts really went well.

By Warren Y B

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Aug 3, 2022

I liked it though, there are parts in the labs that aren't fully explained when you try to do them. I expected a guided laboratory to be able to apply what was taught.

By Marcel N

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Oct 4, 2020

The AI aspect of this course was never introduced. It would be more interesting to include a concise short course for AI which is a selling point for the course title.

By Deleted A

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Mar 18, 2020

Course was good.

Lab is really good for learning hands on without setting up everything on my own machine.

Videos explanations should have been longer and more detailed.