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Learner Reviews & Feedback for Data Analysis with Python by IBM

14,464 ratings
2,147 reviews

About the Course

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Top reviews

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.

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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1826 - 1850 of 2,144 Reviews for Data Analysis with Python

By Deepratna A

Jun 24, 2019

Time and topic depth are not proportional at all.

By Patricia W

Aug 23, 2020

I thought it should be a little more assistance.

By khaled C

Apr 22, 2020

There are some little mistakes in the notebooks.

By Malege T M

Aug 26, 2019

A thoroughly impactful and well presented course

By Sachin M

Jun 29, 2021

Need more details other-wise very good course.

By Hussain T

Apr 30, 2019

a good course but its not going deep in things

By Serdar M

Nov 16, 2018

would be better if there were more exercises.


Aug 18, 2021

Not very easy to understand the coding part.

By Myrlene C

Mar 15, 2021

Great Course.. It went a bit too fast though

By Shashank V M

Apr 9, 2020

Simple as compared to real world challenges.


Sep 20, 2019

Good Lab examples and thorough explanations.

By Ali N

Jul 17, 2019

It was a good course. The labs were helpful.

By Balavignesh R C

Dec 18, 2018

Good Understanding of Data Science concepts.

By Priyanka S

May 30, 2021

Good course for beginners in data analysis

By Sai V A

Apr 19, 2020

good course with almost all topics covered


Apr 7, 2020

Easy to follow. Comprehensive explanation.

By ahmed f

Jan 18, 2019

concepts were not explained very carefully


May 13, 2020

Excellent course with detail description.

By Manish C

Mar 28, 2020

Best data analysis course for beginners .

By Javier I R

Dec 26, 2021

Easy, fast. A good course for beginners.


Apr 26, 2020

Excellent ! Helped me discover new tools

By Harshil G

Apr 29, 2020

It's very good start into data science.

By Oladeji S O

May 13, 2020

Wonderful course, I really enjoyed it


Oct 6, 2019

Average Course with simple learning.


May 2, 2020

linkage between each module require