Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM Skills Network

4.7
stars
15,979 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

SC

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.

RP

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.

Filter by:

1551 - 1575 of 2,414 Reviews for Data Analysis with Python

By jesus m c b

Mar 3, 2020

By CRISTHIAN C Z M

Feb 26, 2020

By JEFREE J P M

Jan 24, 2020

By CARLOS A H G

Jan 24, 2020

By Smitha P

Dec 8, 2019

By Ahmed T

Jan 20, 2019

By Jaimahaprabhu A

Nov 30, 2018

By Vernando B

Nov 28, 2022

By Danitza A L

Nov 2, 2022

By Asad A

Oct 17, 2022

By Winner

Jul 30, 2022

By Mahdi T

Jun 12, 2022

By 文素婷

Dec 8, 2021

By EMAD A A A

Nov 9, 2021

By Shubhanshu

Sep 4, 2021

By Gaurish G

Jul 22, 2021

By Rafael J A C

Oct 19, 2020

By OLAWALE F

Sep 1, 2020

By Ever J O H

Jul 20, 2020

By Sai R P

Jun 16, 2020

By Jhan C D h

Jun 12, 2020

By Smit C

May 27, 2020

By Alvaro O S M

Apr 16, 2020

By Younes M

Apr 10, 2020