Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,147 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 糖心vlog官网观看 certificate and an IBM digital badge to showcase your achievement....

Top reviews

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.

Jul 29, 2020

AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.

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2001 - 2025 of 3,020 Reviews for Data Analysis with Python

By CRISTIAN A T R

Jun 15, 2023

excelent

By Christopher N

Jul 26, 2022

good job

By Urvashi R

Jun 29, 2022

amazing

By James N N

May 24, 2022

Amazing!

By Leandro L S A

May 3, 2022

Perfect.

By Cesar Q

Jan 16, 2022

Awesome!

By Isaac N

Jul 26, 2021

Awesome!

By BHUVANENDRAN B

Jul 2, 2020

Awesome!

By Daniel R

May 21, 2020

perfect!

By lixulun

May 6, 2020

课程节奏太棒了！

By Nicolás E R O

Feb 8, 2020

Great :D

By lanwo a

Dec 22, 2019

great!!1

By Roberto M

Dec 9, 2019

awesome!

By Josemar T M

Aug 24, 2019

Completo

By Appala N

Jun 15, 2019

good one

By Shashank R

Apr 7, 2019

Amazing!

By Ivan I

Mar 26, 2019

Awesome.

By Deleted A

Mar 21, 2019

Good one

By Siham

Nov 16, 2024

amazing

By Rustam S

Jul 13, 2024

Amazing

By Nho C D

Apr 9, 2024

usefull

By ADEEBA R 2

Jul 8, 2023

Perfect

By Sirojiddin D

Apr 3, 2022

awesome

By Raghavendra S K

Sep 14, 2021

amazing

By yuebin l

Feb 21, 2021

amazing