Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7

stars

18,446 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

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.

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.

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1901 - 1925 of 2,884 Reviews for Data Analysis with Python

By Ahmed E A

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Mar 26, 2019

very nice

By chillamahesh

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Mar 9, 2019

very nice

By JunqiHu

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Sep 19, 2018

s实际的案例不够多

By Ahmed A E A K

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Jul 16, 2024

Great 👍

By Morris N

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Jul 15, 2024

EXCELENT

By URINOV_JAMSHID_ORTIQOVICH

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May 13, 2024

the best

By Misael V M

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Mar 2, 2024

excelent

By MUHAMMAD F

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Jul 28, 2023

Good job

By CRISTIAN A T R

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Jun 14, 2023

excelent

By Christopher N

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Jul 26, 2022

good job

By Urvashi R

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Jun 28, 2022

amazing

By James N N

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May 24, 2022

Amazing!

By Leandro L S A

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May 2, 2022

Perfect.

By Cesar Q

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Jan 15, 2022

Awesome!

By Isaac N

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Jul 26, 2021

Awesome!

By BHUVANENDRAN B

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Jul 2, 2020

Awesome!

By Daniel R

•

May 20, 2020

perfect!

By lixulun

•

May 6, 2020

课程节奏太棒了！

By Nicolás E R O

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Feb 7, 2020

Great :D

By Lanwo A R

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Dec 22, 2019

great!!1

By Roberto M

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Dec 9, 2019

awesome!

By Josemar T M

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Aug 23, 2019

Completo

By Appala N

•

Jun 15, 2019

good one

By Shashank R

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Apr 6, 2019

Amazing!

By Ivan I

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Mar 26, 2019

Awesome.