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Data Analysis with Python, IBM

1,609 ratings
217 reviews

About this 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


Jul 13, 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course


Feb 10, 2019

Really this course shows the full path to master the Data Analysis with Python. This path is short, helpful, and rich information their. thank you at all and thank you Coursera

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217 Reviews

By Valdi Noor Azhar

Feb 21, 2019

Excellent course.

By Junaid Alam

Feb 20, 2019

More than sufficient overview of SQL and how to use it in jupyter notebook.

By Mudita Nimje

Feb 20, 2019

Last few weeks were a bit confusing but overall a good course .

By Anthonny Alarcón

Feb 19, 2019

Quite interesting.

By Obong Godfrey

Feb 19, 2019

Though found the ending modules a bit challenging, its a great course

By Devkul Sahu

Feb 19, 2019

This course is very beneficial those who want to build carrier in data science. Each topics are cleared very nicely and the lab exercise clears the most concept.

By Jianfei Zhang

Feb 18, 2019

No systematic teaching. Only pick a few pebbles and assume you can build a palace.

By Rajib Kumar Sarkar

Feb 17, 2019

Awesome learning experience..

By Fish

Feb 17, 2019

learn a lot THANKS

By Xuecong Liu

Feb 16, 2019

Thanks for teaching me the systematic way to do data analysis! However, I found quite a few mistakes in the lectures in this course, hope it will improve!