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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,110 ratings

About the Course

Analyzing data with Python is a key skill for aspiring Data Scientists and Analysts! This course takes you from the basics of importing and cleaning data to building and evaluating predictive models. You’ll learn how to collect data from various sources, wrangle and format it, perform exploratory data analysis (EDA), and create effective visualizations. As you progress, you’ll build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you’ll gain practical experience using popular Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, SciPy, and Scikit-learn. These tools will help you manipulate data, create insights, and make predictions. By completing this course, you’ll not only develop strong data analysis skills but also earn a Coursera certificate and an IBM digital badge to showcase your achievement....

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.

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826 - 850 of 3,012 Reviews for Data Analysis with Python

By aswitha t

Oct 29, 2023

I have learned a lot from this course . its very useful and efficient. Thank you

By Tarun K A

Sep 11, 2020

One of the best courses to understand Data Analysis via Python. Labs help a lot.

By Maria C

Jun 9, 2020

Wow I just felt this was the right way to teach someone. Learnt a lot by the way

By Emmanuel D

Jan 29, 2020

All you need is self motivation because this course will make you a data analyst

By Thibault M

Nov 27, 2019

Excellent, Learning Linear Regression with an excellent approach. Great course !

By Sagnik A

Nov 14, 2019

This was a very helpful and good course for learning Data Analysis with python .

By Mani B

Jul 20, 2019

This course is really a great way to learn regression and practice with python.

By Kean T K

Apr 19, 2019

The materials are easy to understand and the labs help to enhance understanding.

By Juan M O L

Aug 19, 2022

A really good course . It was necessary to me an extra research on some topics.

By Balu

Aug 1, 2022

I have learned alot from this course . i really loved it . Thank you coursera.+

By Christopher I F

Mar 21, 2021

I wish I had known some of the information in this course during my Ph.D. study

By brandon l

Oct 21, 2020

This course is very helpful in understanding the Python language and libraries.

By Komal A T

May 3, 2020

Great course, especially the labs have been designed well. Thank you, Coursera!

By Praveen P

May 2, 2020

It was a great Learning. Thank you for providing me such a wone=derful Platform

By Aditya K

Mar 22, 2020

This course helped me in a great way to use different type of data using python

By peter m

Feb 24, 2020

There is a large amount of good information in this class. Useful information.

By Suhas S

Mar 15, 2019

It is really a Good course. All the topics have been covered in the proper way.

By Ganesh C

Jul 4, 2023

I have learned some basic term which are used for data analysis. Thank You ...

By Mary R D

Oct 27, 2022

I enjoyed taking this course. Learned a lot but still need to practice more.

By Donald A

May 22, 2020

You are sure to come out refined in your data analysis skills with this course

By Darshan P

May 10, 2020

I really like the pace, explanation and details with example for the beginner.

By Manish P

May 10, 2020

Very thorough material. Absolutely recommend it to anyone new to this subject.

By Zvonimir K

Apr 3, 2019

Good introduction into data analyzing with python and choosing the best models

By Ali R ( R

Nov 2, 2018

well structured course, and easy to follow, altough it gets tough ar the end:)

By ARGUMEDO A

Nov 10, 2024

Very well organized course, the modules fullfill all the learning objectives.