Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

19,465 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

Nov 11, 2021

Good Course. Very good overview of Python libs -Pandas, Numpy, Matplotlib, Scipy, Scikitlearn and Seaborn. I really enjoyed learning about them and seeing the usage. Highly recommended course.

May 8, 2021

I love the practicality of this course. It's not just learning theories but you actually follow along. You only need a good computer and you learn serious staff taught in the best way possible.

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2151 - 2175 of 3,085 Reviews for Data Analysis with Python

By Suggar A S N

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Aug 5, 2024

NICE

By Taniya I G U C C

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Jul 4, 2024

Nice

By Dilfuza T

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Jun 15, 2024

GOOD

By Dior R

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Jun 7, 2024

good

By Абдуманонова А

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Jun 6, 2024

good

By malohatsamcity

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Jun 1, 2024

GOOD

By Mark J

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May 31, 2024

Nice

By ASATILLA B B O

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May 31, 2024

good

By Sirochxonmohira T

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May 28, 2024

good

By Norboyeva A A q

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May 28, 2024

good

By Raxmatjonov X

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May 26, 2024

GOOD

By Ilhom G

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May 26, 2024

GOOD

By MOHAMMED N

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Feb 24, 2024

Nice

By Jomya M G

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Oct 12, 2023

good

By MUHSIN I

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Sep 18, 2023

good

By Hamza A

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Sep 1, 2023

well

By Yusuf A

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Aug 17, 2023

Good

By surya a

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Jul 7, 2023

good

By JAYARATHNA M N M G

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May 28, 2023

good

By Mohamed A

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May 4, 2023

good

By TANNERU V 3

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Mar 27, 2023

good

By Aymane M

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Mar 17, 2023

nice

By Rajat S

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Feb 10, 2023

amma

By Rasaq H

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Jul 27, 2022

Nice