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.
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 Subhasish D•
Jul 13, 2020
The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge
By William O•
Mar 27, 2020
One the greatest course of Data Analysis. The info given about statistics is very important and accurate.
Thank you to the instructors.
By Matthew A•
May 12, 2019
The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.
By Jan M v d B•
Jul 24, 2021
Learned a lot about statistical analyses in this course, but the easiness of the assignment and grading quizzes make it unfulfilling.
By In W C•
Oct 3, 2019
Other than some minor errors and bugs, I think this course gave good introductory material that can be supplemented with other books.
By Cindy N P P•
May 10, 2020
There should be another grading method for the final task, that a system is in charge of assigning the grades, not other classmates
By Oscar J C•
Jan 21, 2020
The course is well designed, however, in some videos exist misspelling functions that may confuse when you try to test on your own.
By Sujith K S•
Oct 20, 2020
Seemed a bit rushed towards the end. Advanced topics such as pipelines, polynomial transformation, etc were not explained clearly.
By Maddipudi p•
Dec 24, 2020
content is great.playback speed can go bit slow for students like me from India language is bit hard to understand at that speed.
By Tianyue Q•
Apr 26, 2022
Give a general overview of how to do data analysis with a brief intro of how to apply machine learning in a real life scenario.
By Tsungai J M•
Oct 12, 2019
Some areas were a bit complex and required additional reading outside of the content provided but overall I enjoyed the course.
By Marc S•
Jun 30, 2019
Great course explaining some data analysis techniques. Some minor errors in voice track and material, but overall good content.
By Asif I T•
May 13, 2022
The course was really good. But I would've liked to face more problem statements to practice what I was taught in this course.
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
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 G 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 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 Stu A•
Aug 19, 2021
This course started getting challenging, more so compared to the previous courses in the Data Science Certificate track.
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.