Learner Reviews & Feedback for Data Analysis with Python by IBM
About the Course
with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing &
formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating
data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and
create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial...
Top reviews
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.
VS
Jan 30, 2022
This is totally one of the hardest course I've ever taken on Coursera. It's packed with knowledge I did not know before. Definitely recommended for people who want to learn data analysis with Python.
2376 - 2400 of 2,950 Reviews for Data Analysis with Python
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.
By Collin C
•Jan 6, 2020
Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.
By Marco S S
•Nov 9, 2020
Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.
By Juan L S
•Nov 20, 2018
I mean, it's super well prepared, but the scalation of topics seemd to be a it too quick, at least it was for me.
By Amit K S
•Jun 27, 2020
The videos are bit faster. It would have been better if it was done by some real teacher rather than voice over.
By Harjit S G
•Oct 25, 2019
use of names was a bit confusing at times compared to final assignment, but otherwise very helpful and enjoyable
By Jeremy G
•Oct 12, 2020
This course should come after the Data Visualization with Python course in the Professional Certificate program
By Lida X
•Jan 10, 2020
Maybe a bit too fast for those who are not familiar with various kinds of regressions...
Other parts are great!
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 6, 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