RP
Apr 19, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
SC
May 5, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
By Ajith B
•Jul 14, 2021
Good Course. But many content's have been packed in this small one , I guess additional reading content could have been given.
By Jorge I L C
•Aug 19, 2020
muy bueno, este curso deberia ser el 2do o tercero en esta seccion, se ve bastante de lo que usa un data science normalmente!
By RANGA D
•Apr 28, 2020
Good for an individual who is passionate about data science
Thanks course era for providing the course
#datascience enthusiast
By RICHARD D
•Oct 11, 2019
This course give a brief Understanding Of Data Analysis with python. Thanks to the IBM for making us part of The IBM family.
By Dhamo D
•Aug 24, 2019
This is the good course for beginners. Great Explanations for pandas, EDA and scikit learn model analysis. Good to try this!
By Rohan B
•Jun 14, 2019
This is an excellent for anyone who wants to learn about analyzing data and preparing and training the model,visualizing it.
By Mohnish M
•May 30, 2020
It was good, could've been a little for detailed and with a few more examples but it was still great and easy to understand
By Alexander T
•Sep 30, 2018
Very clear and effective course to get the basic principles of performing Data Analysis with Python. Highly recommendable.
By Rahul K
•Jul 19, 2023
Great experience but some concepts are hard to understand for beginners especially regression analysis and week 5 tpoics.
By Akshay B
•Mar 28, 2020
The course content is good. However, some ready to use short notes type material should be provided for future references
By Zeeshan A
•Sep 6, 2023
While the course was generally well-explained, there were instances where it might have been overwhelming for beginners.
By Stu A
•Aug 19, 2021
This course started getting challenging, more so compared to the previous courses in the Data Science Certificate track.
By 陈嘉琪
•Aug 29, 2019
Actually I don't think there are enough coding practices, but the videos are great learning materials for new starters.
By Shubham K
•Sep 2, 2021
Good course! But needed some more practice on Pipelines, Multivariate Regression, Grid Search CV and Ridge Regression.
By Declan H M G
•May 30, 2019
Well structured, good detail. Lacking a peer graded assignment at the end to really put our skills to the test though.
By Anuja K
•Jul 21, 2024
It was good experience specially the lab environment is very user friendly and very good work for practical knowledge
By vivek l
•Jul 7, 2020
This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.
By Prasanth K M
•May 11, 2020
This is good to understand and plot the data using Python. Most of the course and test are revolve around statistics.
By Deemo
•Jun 6, 2020
Good tool with little mistakes.
The quizzes are too easy
Hope can code the whole project not a part of the vital codes
By vineet r p
•Mar 18, 2020
It's an amazing course but I think there should more theoretical information about Linear and Polynomial regression.
By Roberto M
•Nov 17, 2019
The course is very interesting with a lot of detail but it doesn't but it is to short for all the matters it covers.
By Rafael M S
•Jan 5, 2023
It is a very interesting course. You can learn more about statistics and how apply with Python and their libraries.
By DILEEP S
•May 30, 2020
This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.
By Ronak P
•Jun 27, 2024
It was a great course. It gives insight about how to clean the data , visualize the data and gain insight from it.
By JAVIER A P S
•Oct 29, 2020
Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.