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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,020 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis
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.

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2001 - 2025 of 2,992 Reviews for Data Analysis with Python

By Rustam S

Jul 12, 2024

Amazing

By Nho C D

Apr 9, 2024

usefull

By ADEEBA R 2

Jul 7, 2023

Perfect

By Sirojiddin D

Apr 2, 2022

awesome

By Raghavendra S K

Sep 13, 2021

amazing

By yuebin l

Feb 20, 2021

amazing

By Esteban O

Oct 24, 2020

Usefull

By Harsha G

May 7, 2020

AWESOME

By Zakaria E

Apr 24, 2020

awesome

By Alejandro A

Apr 24, 2020

Great!!

By Yu M C

Dec 9, 2019

Awesome

By Patkari H B

Jun 16, 2019

Awesome

By Will C

Apr 18, 2019

perfect

By Soumya R B

Dec 13, 2018

Awesome

By Sergejs S

Oct 22, 2018

Thanks!

By Pham T H

Oct 7, 2024

Great!

By S A B A

Jul 27, 2024

ممتازه

By Martha B G R

Mar 25, 2024

Great!

By a. y

Oct 23, 2023

thanks

By AHMED A I M

Nov 23, 2022

GOOOOD

By Amber V

Aug 13, 2022

awsome

By Kehinde D

May 23, 2022

Great!

By Zijun H

Apr 30, 2022

Great!

By Abul B

Feb 22, 2022

thanks

By Ishita

Mar 1, 2021

Great!