Chevron Left
Back to Data Analysis with Python

Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
12,083 ratings
1,746 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

RP

Apr 20, 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 06, 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.

Filter by:

626 - 650 of 1,728 Reviews for Data Analysis with Python

By Martin A K

Feb 02, 2020

easy to follow. good theory as well as hands-on exercises.

By Aloke D G

Sep 21, 2019

Great Course matertial.. very much to the real application

By Lorenzo B

May 24, 2020

The exams are too easy! But the knowledge gained is handy

By Anna L

May 05, 2020

Excellent course, lots of theory and practical excercises

By Sumit G

Jan 05, 2020

The course architecture was very fluid and easy to learn.

By Ratheeshwaraa K

Aug 14, 2019

It helped me a lot to start my role towards data science.

By A S R

Oct 24, 2018

Very good explanation of concepts using a perfect example

By Gaurav P

Aug 22, 2020

Great for beginners who are interested in data analysis.

By AHMED A

Jul 27, 2020

Amazing course. Very well structured and well organised.

By Ramana G

Jun 25, 2020

Thank you for the course content and excellent delivery.

By Priyam P

Jun 22, 2020

This is a good for beginners. It teaches all the basics.

By Mauricio P

Apr 17, 2020

Good start to learning about linear regression in Python

By Thakkar S

Mar 01, 2020

Exceptional course. Kudos to the instructors. Thank you.

By Leehyungjoon

Feb 20, 2020

Strongly recommend if you need basic knowledge of python

By Tianhui G

Jan 12, 2020

Very nice combination with statistics and data analysis.

By ABISHEK L V

Mar 22, 2019

VERY GOOD I HAVE LEARNED NEW THINGS THANK YOU VERY MUCH

By Callistus N

Mar 13, 2019

The best gentle intro on creating and evaluating models.

By SONAL C

Mar 09, 2019

Complete coverage for all important topics with examples

By Md M H

Feb 04, 2019

It was one of the hardest course among all the courses.

By MD H H

Mar 04, 2020

Great Course! Gives a real feel of doing Data Analysis.

By Mark V M

Nov 29, 2019

Very good explanation with demonstration! Best teacher!

By Aravind

Nov 28, 2019

The course is quite good and way of teaching is awesome

By Marco A C d S

Oct 08, 2019

Great course! In this course I learned so much! Thanks!

By Brahim A

Mar 31, 2019

Well appreciated the course and the skill.

Thanks a lot!

By Alexander P S

Mar 28, 2019

printable slideshow presentations would be very useful!