Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
Top reviews
RP
Apr 20, 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.
AB
Feb 13, 2020
Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.
2401 - 2425 of 2,963 Reviews for Data Analysis with Python
By Cristina
•May 29, 2018
Interesting course, but there are some moments when they give an interesting idea, but not the implementation.
By CAMILO A P Q
•Jun 20, 2020
Good course, but it's too basic. I learned basics of pandas, scikitlearn, seaborn and other python libraries.
By Nikhil
•May 14, 2020
High quality, concise content, well timed videos with pop up questions that ensures focus of the participant.
By Deepak P
•May 18, 2019
The Content was really good but some topics are explained in very short.
But Thanks for this awesome course!
By Kerem B
•Feb 3, 2020
The difficulty level of this course goes up very dramatically and it took me very long time to understand.
By Gabriel A
•Jun 7, 2019
Best course in the specialization so far. An introduction to the statistical concepts could be beneficial.
By Praveen
•Jul 20, 2019
Very good introduction to data analysis. Some of the concepts mentioned here needs much more explanation.
By Mr. S
•May 1, 2023
Really good course, just that sometimes it seems it takes in big steps which may provoke some confusion.
By FILPE R F
•May 29, 2022
It was a good course. However, in my point wiew, it was necesserary exploring the Pandas and Numpy more.
By Jonathan P d A
•Nov 6, 2018
Great course with great classes. The exercises are not complex which makes the practical part less good.
By Lucian P
•Dec 13, 2021
Great content but problematic when you need to use IBM Cloud platform that doesn't accept new accounts.
By Juan J F
•Mar 22, 2021
An excellent introduction to the techniques to analyze data and do the validation, very clear exercises
By Venna R D
•Feb 2, 2024
A very good and detailed explanation. A little bit of assistance in coding should improve in the labs.
By Akshay S
•Jun 22, 2020
Overall coerce is good. Just the algorithm explained at last weeks need to be more simple explanation,
By Rajeev P
•Mar 22, 2020
It was a good course. Learnt a lot of statistics and how to implement them in python from this course.
By Hung C T
•May 1, 2019
Would be better if some underlying theory of advanced topics is covered, such as Ridge Regression etc.
By Nicholas F
•Nov 24, 2020
It would be good if there were more practice opportunities. Overall a good class for familiarization.
By SHALIN S
•Sep 16, 2020
week5-6 labs were tough for writing own code and for understanding. However for awareness, it was OK.
By Viwan J
•May 24, 2019
It is a good course but -1 star because many typos/errors/unclear tasks in the assignment submission.
By Aisha P
•Jul 26, 2022
I am fully satisfied with this course.this course helhed me to enhance my skill just awesome course.
By Vicente C L F
•Nov 18, 2019
Very good course! I just missed more deep content as optional reading in Ridge, Grids and Pipelines.
By Stéphan D
•Mar 6, 2022
Some technical problems with IBM watson while doing the course. Questions could be more difficult.
By Ivan L
•Dec 9, 2021
Final Assignment is Ok, theory esp. some of the quizes subject for improvement (to make it perfect)
By Juan D M G
•Jun 17, 2020
Muy buen curso y muy buenos laboratorios! SIn embargo a veces no explican la teoría tan al detalle.
By Shrinidhi S
•May 9, 2020
My assignments with the correct answers were only given partial marks.Pls do the need for the same.