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 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.
2476 - 2500 of 3,003 Reviews for Data Analysis with Python
By Rubén G
•Apr 12, 2020
Please include more examples in the laboratories, for a better interpretation.
Thanks.
By E. R " A
•Mar 28, 2020
An extraordinary well-designed course with excellent courseware and tests. A triumph!
By Sven B
•Sep 26, 2019
Good quality, a little bit is missing the background explanation for some techniques.
By Ahmed A
•May 9, 2022
i think you it's better to make the question of the exam harder with add extra steps
By Will S
•Mar 29, 2020
The labs weren't available for a period of time, but the information is very useful!
By Larry F
•Dec 18, 2018
Covers a bunch of useful stuff pretty fast. That may prove a problem in the future.
By Md. S R
•Sep 14, 2021
Some syntax is wrong. However, more explanation is required for proper explanation!
By Marcel M R
•Jul 17, 2019
Week 04 and Week 05 are very confusing and only scratch the surface of the subject!
By Akash M
•Jan 26, 2020
nice and balanced course i like the assignments in this course a lot to learn here
By Dave P
•Apr 14, 2024
Great course and powerful learning -I look forward to the application now! Thanks
By Edinson R S A
•Mar 6, 2020
Good course, more explanation of the interpretations of the results will be great
By Richard P
•Oct 3, 2024
This is a must have course that every aspiring analyst should consider enrolling
By Prentice D T
•Dec 29, 2019
Better explanation could have been given for beginners, otherwise, it was good.
By Diego S
•Sep 22, 2019
I think needs to append more exercise. Too much content for a few of exercises
By Alex U
•May 27, 2021
Good course, But it would be better to insert more additional practise tasks.
By Mohit
•Nov 24, 2020
Teacher teaches in a well mannered its quiz and lab session help me a lot .
By Steven M
•Jan 27, 2020
Una muy buena opción si se quiere empezar con el análisis de datos con python
By Abhishek k
•Mar 31, 2024
Nice and Excellent content of data analysis which will be very beneficial .
By Shubhodeep M
•Oct 22, 2021
It is a great first step towards learning data analysis. Highly recommended.
By Mohammad Q
•Aug 21, 2019
Great but it has lots of information and require simple statical background
By Saqlain H S
•Oct 13, 2019
This course is very useful if you want to learn the field of data science.
By Adam C
•Feb 14, 2021
Good course, Get's a bit tricky when it starts talking about regression.
By Coco
•Jan 14, 2020
Quizs could be more practical. The part of explaining models is amazing!
By Manuel O
•Aug 21, 2019
Learning may be more beneficially if we actually wrote most of the code.
By Kisha B
•Jun 29, 2019
I took this course out of sequence, but it has been the best one so far!