Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,616 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 19, 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.

May 5, 2020

I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.

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1901 - 1925 of 2,912 Reviews for Data Analysis with Python

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

By aaaluno

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Mar 23, 2020

Concluido

By CAMILO M Z

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Mar 22, 2020

Excellent

By Kenza B H J

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Mar 15, 2020

Excellent

By KVD S

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Feb 26, 2020

excellent

By Muhammad Z H

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Feb 25, 2020

Excellent

By Aravind R

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Feb 14, 2020

Excellent

By Johan R

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Jan 16, 2020

Excelente

By Satishkumar M

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Jan 4, 2020

Excellent

By Pradeep M

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Dec 25, 2019

Good one!

By Muhammad S K

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Sep 17, 2019

Excellent

By YIYUN M

•

Aug 25, 2019

excellent

By Madan T

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Jul 5, 2019

Excellent

By Georgio Z

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Jun 18, 2019

perfect !

By Chironjeet K C

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May 31, 2019

Was good.

By Ahmed E A

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Mar 26, 2019

very nice

By chillamahesh

•

Mar 9, 2019

very nice

By JunqiHu

•

Sep 19, 2018

s实际的案例不够多

By kong r

•

Dec 10, 2024

the best

By Ahmed A E A K

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Jul 16, 2024

Great 👍

By Morris N

•

Jul 15, 2024

EXCELENT