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Learner Reviews & Feedback for Data Analysis with Python by IBM

4.7
stars
13,622 ratings
2,002 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 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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676 - 700 of 1,991 Reviews for Data Analysis with Python

By Dominic F

May 14, 2020

Very well structured and organized. I really enjoyed this course.

By Nữ H

Apr 23, 2020

The course has clear instruction which is essential for beginners

By Jinjin X

Jan 27, 2020

It is a good course to learn Python techniques for data analysis.

By Praveen K

Oct 17, 2019

Thanks for the wonderful and concise course. It really helped me.

By Nipol C

Jul 26, 2019

This course provides you with good introduction to data analysis.

By syed m u h

Jun 16, 2021

This course helped me to understand how to conduct data analysis

By Björn J

Apr 2, 2021

Great online class to start with python in a statistical context

By Nicholas S

Mar 15, 2021

Great course, easy to follow along and introduce basic ML skills

By Prasanna P

Jan 18, 2020

Excellent assignments to take challenged work at the end of week

By JOSHY J

Oct 31, 2019

One of the best course in IBM Professional certification program

By Ioseb M

Dec 21, 2018

Great Course. It took some time to be finished but it 100% worth

By Abduljalil A

Jan 18, 2021

Great indepth explanation of how to gain insight into a dataset

By Sebastian F

Dec 14, 2020

Lots of good stuff here ! thank you for such elaborated course!

By Nisakorn C

Dec 7, 2020

Great, the contents are easy to follow are very well organized.

By Rivers L

Jun 29, 2020

I really learnt a lot of data analysis skills from this course.

By Sherbulandkhan B

Apr 14, 2020

Beautifully structured course. Highly recommend for beginners.

By Neelesh T

Mar 5, 2020

I really enjoyed learning this course.

Thank You IBM & Coursera.

By Daniyar M

Jun 19, 2019

great course to get an understanding of python for data science

By Xin W

Jun 4, 2019

Very nice lessons for beginners to use python for data science.

By harshdeep w

Feb 27, 2019

amazing course and the the problem question are just amazing!!1

By Praveen k

Jan 23, 2019

great course to clear the basic analysis part. Great experience

By Xinwei H

Sep 10, 2018

More exercise could be provided. Overall the material is great!

By Ronak P

May 22, 2021

Explicit, Well Explained, Hands-on training using online labs.

By viet n

May 16, 2021

this is an useful course I have a chance join. Thanks teacher!

By SIMRAN G

Feb 3, 2021

Totally relevant and gives a feel of real-time logical anlysis