Chevron Left
Back to Data Analysis with Python

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

Invalid date

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

Invalid date

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.

Filter by:

1901 - 1925 of 2,855 Reviews for Data Analysis with Python

By Daniel R

May 20, 2020

perfect!

By lixulun

May 6, 2020

课程节奏太棒了!

By Nicolás E R O

Feb 7, 2020

Great :D

By Lanwo A R

Dec 22, 2019

great!!1

By Roberto M

Dec 9, 2019

awesome!

By Josemar T M

Aug 23, 2019

Completo

By Appala N

Jun 15, 2019

good one

By Shashank R

Apr 6, 2019

Amazing!

By Ivan I

Mar 26, 2019

Awesome.

By Deleted A

Mar 21, 2019

Good one

By Rustam S

Jul 12, 2024

Amazing

By Nho C D

Apr 9, 2024

usefull

By ADEEBA R 2

Jul 7, 2023

Perfect

By Sirojiddin D

Apr 2, 2022

awesome

By Raghavendra S K

Sep 13, 2021

amazing

By yuebin l

Feb 20, 2021

amazing

By Esteban O

Oct 24, 2020

Usefull

By Harsha G

May 7, 2020

AWESOME

By Zakaria E

Apr 24, 2020

awesome

By Alejandro A

Apr 24, 2020

Great!!

By Yu M C

Dec 9, 2019

Awesome

By Patkari H B

Jun 16, 2019

Awesome

By 西山郡

Apr 18, 2019

perfect

By Soumya R B

Dec 13, 2018

Awesome

By Sergejs S

Oct 22, 2018

Thanks!