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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
19,487 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

LM

Mar 9, 2020

Very good course that goes straight to the main topics needed to work on data analysis using Python. This will kick start my learning process which will be followed with a lot of coding practices.

MW

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.

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2151 - 2175 of 3,089 Reviews for Data Analysis with Python

By Narayan B

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Aug 21, 2024

nice

By krishna k

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Aug 20, 2024

good

By محمد ا

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Aug 6, 2024

good

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