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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
17,693 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

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.

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.

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1376 - 1400 of 2,715 Reviews for Data Analysis with Python

By Rafael M

Aug 12, 2020

Very good labs and datasets

By G S K

Jun 25, 2020

a very informative seesions

By Sarika J

May 2, 2020

very nice and easy language

By Albert D

Jan 14, 2020

I learn a lot in this class

By RK

May 1, 2019

excellent course i loved it

By Lei

Dec 9, 2018

very good. I will continue.

By brandy L

Dec 20, 2021

really useful for beginner

By elmer e

Sep 26, 2021

Great learning experience!

By Samsonova A

Nov 4, 2020

This course is very useful

By Eiichi S

Sep 18, 2020

Thank you for the contents

By Greg D

Jun 11, 2020

Very useful for my project

By Prashant K

Apr 24, 2020

Really nice taught course.

By Khoong L E

Dec 13, 2019

Great course for beginner!

By Александр И

Nov 28, 2019

Best course for beginners!

By Debolina

Jul 3, 2019

A very informative course!

By Grigori P

Mar 29, 2019

Excellent course , thanks!

By Xiaoqi Z

Nov 11, 2018

Very systematic and clear.

By Poornima H

Jan 16, 2023

Great Learning Experience

By Jorge L P R

Sep 8, 2022

Excelenete, muy practico

By Gu B

Jul 21, 2022

the lab is really helpful

By Ali A

Jul 9, 2022

thanks this cours amazing

By Sakineh G

Sep 24, 2021

Great Introductory course

By Lerato J N

Aug 13, 2021

An appreciated challenge!

By Karan N

Feb 11, 2021

Great course! Lots of fun

By DENKALA G

Jan 2, 2021

thanks to all instructors