Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,937 ratings

About the Course

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge....

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.

Feb 13, 2020

Great introduction to data manipulation and analysis for common problems that arise in data science. Also allows you to gain a further understanding of Python syntax, specifically the pandas library.

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1926 - 1950 of 2,977 Reviews for Data Analysis with Python

By Abhishek K S

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Jul 30, 2024

thank you

By MOHAN B

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Jun 11, 2024

Very good

By Hnin A

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May 15, 2024

difficult

By Kiệt T

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Jan 22, 2024

realistic

By Rodrigo P

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Sep 12, 2023

Excelente

By Hamas A

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Jul 27, 2023

nextlevel

By SUMEET S

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Mar 18, 2023

very good

By Vernando B

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Nov 28, 2022

very good

By Danitza A L

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Nov 3, 2022

Good one!

By AwkNinja

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Oct 17, 2022

Amazing.

By Winner

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Jul 30, 2022

Very good

By Mahdi T

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Jun 12, 2022

the best

By 文素婷

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Dec 8, 2021

very good

By EMAD A A A

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Nov 9, 2021

excellent

By Shubhanshu

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Sep 4, 2021

very good

By Gaurish G

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Jul 23, 2021

Excellent

By Rafael J A C

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Oct 19, 2020

Excellent

By OLAWALE F

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Sep 1, 2020

Excellent

By Ever J O H

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Jul 21, 2020

EXCELENTE

By Sai R P

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Jun 16, 2020

usefull!!

By Jhan C D h

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Jun 12, 2020

Excelent!

By Smit C

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May 27, 2020

excellent

By Alvaro O S

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Apr 16, 2020

Excelent.

By Younes M

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Apr 10, 2020

excellent