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鈥檒l 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鈥檒l build linear, multiple, and polynomial regression models, construct data pipelines, and refine your models for better accuracy. Through hands-on labs and projects, you鈥檒l 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鈥檒l 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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2026 - 2050 of 3,019 Reviews for Data Analysis with Python

By Esteban O

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Oct 25, 2020

Usefull

By Harsha G

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May 7, 2020

AWESOME

By Zakaria E

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Apr 25, 2020

awesome

By Alejandro A

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Apr 24, 2020

Great!!

By Yu M C

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Dec 10, 2019

Awesome

By Patkari H B

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Jun 16, 2019

Awesome

By Will C

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Apr 18, 2019

perfect

By Soumya R B

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Dec 13, 2018

Awesome

By Sergejs S

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Oct 23, 2018

Thanks!

By Pham T H

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Oct 8, 2024

Great!

By S A B A

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Jul 28, 2024

賲賲鬲丕夭赖

By Martha B G R

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Mar 25, 2024

Great!

By Ahmed Y M I

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Oct 23, 2023

thanks

By AHMED A I M

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Nov 23, 2022

GOOOOD

By Amber V

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Aug 13, 2022

awsome

By Kehinde D

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May 23, 2022

Great!

By Zijun H

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Apr 30, 2022

Great!

By Abul B

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Feb 23, 2022

thanks

By Ishita

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Mar 2, 2021

Great!

By Kasi V

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Nov 2, 2020

Thanks

By Piriyapong W

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May 26, 2020

Great!

By Purple M

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Mar 21, 2020

great!

By Alberto T

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Feb 29, 2020

Useful

By oussama r

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Oct 12, 2019

Greaat

By 小屑芯谢械械胁褋泻懈泄袙袚

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Sep 14, 2019

Great!