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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
18,235 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

LM

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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.

AB

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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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1876 - 1900 of 2,855 Reviews for Data Analysis with Python

By Aravind R

Feb 14, 2020

Excellent

By Johan R

Jan 16, 2020

Excelente

By Satishkumar M

Jan 4, 2020

Excellent

By Pradeep M

Dec 25, 2019

Good one!

By Muhammad S K

Sep 17, 2019

Excellent

By YIYUN M

Aug 25, 2019

excellent

By Madan T

Jul 5, 2019

Excellent

By Georgio Z

Jun 18, 2019

perfect !

By Chironjeet K C

May 31, 2019

Was good.

By Ahmed E A

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 Ahmed A E A K

Jul 16, 2024

Great 👍

By Morris N

Jul 15, 2024

EXCELENT

By URINOV_JAMSHID_ORTIQOVICH

May 13, 2024

the best

By Misael V M

Mar 2, 2024

excelent

By MUHAMMAD F

Jul 28, 2023

Good job

By CRISTIAN A T R

Jun 14, 2023

excelent

By Christopher N

Jul 26, 2022

good job

By Urvashi R

Jun 28, 2022

amazing

By James N N

May 24, 2022

Amazing!

By Leandro L S A

May 2, 2022

Perfect.

By Cesar Q

Jan 15, 2022

Awesome!

By Isaac N

Jul 26, 2021

Awesome!

By BHUVANENDRAN B

Jul 2, 2020

Awesome!