Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,416 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 3,079 Reviews for Data Analysis with Python

By Alvaro O S

Apr 17, 2020

Excelent.

By Younes M

Apr 10, 2020

excellent

By aaaluno

Mar 24, 2020

Concluido

By CAMILO M Z

Mar 23, 2020

Excellent

By Kenza B H J

Mar 15, 2020

Excellent

By KVD S

Feb 26, 2020

excellent

By Muhammad Z H

Feb 25, 2020

Excellent

By Aravind R

Feb 14, 2020

Excellent

By Johan R

Jan 17, 2020

Excelente

By Satishkumar M

Jan 5, 2020

Excellent

By Pradeep M

Dec 26, 2019

Good one!

By Muhammad S K

Sep 17, 2019

Excellent

By YIYUN M

Aug 25, 2019

excellent

By Madan T

Jul 6, 2019

Excellent

By Georgio Z

Jun 18, 2019

perfect !

By Chironjeet K C

May 31, 2019

Was good.

By Ahmed E A

Mar 27, 2019

very nice

By chillamahesh

Mar 9, 2019

very nice

By JunqiHu

Sep 19, 2018

蝉实际的案例不够多

By Mani k

Nov 1, 2025

excelent

By jaime g m l

Jul 4, 2025

exceente

By JAIME A R C

May 17, 2025

Nice all

By kong r

Dec 11, 2024

the best

By Ahmed A E A K

Jul 17, 2024

Great ?