Welcome to the online course on Data Visualization.

Data Visualization is a graphical representation of information and data.

Data Visualization tools provide an accessible way to see and understand data because with visualizations it becomes easier for the human brain to understand and pull insights out of the data.

The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.

In this course, you will get advanced knowledge on Data Visualization.

This course begins with providing you the complete knowledge on Python programming language.

You will learn all the concepts of python programming required.

This course will cover:-

• Python variables

• Python data types

• Loops and Conditionals

• Strings

• Regular Expressions

• Data Time Objects

• Numpy Library

• Pandas Library

Along with the python programming, this course will cover the concepts of query analysis as well.

That will help you become an expert in analyzing data using different libraries such as Dabl and sweetviz.

Not only this, this course will provide advanced knowledge on Data Visualization.

This course will cover:-

Basic data visualization

Advanced Data Visualization such as facet grids, polar charts, waffle charts, maps, statistical charts etc.

Animated Data Visualization such as bubble plot, facets, scatter maps and choropleth maps.

Some miscellaneous charts such as sunburst charts, parallel-coordinate charts, gantt charts etc.

All this in one course!!!!

Along with all these we have three bonus projects for you!

Startup Case study and Analysis

Player performance Reviewer and

IPL Data Science Analyzer

Where you will apply all the concepts learnt in this course.

This course is a complete package.

Lots and lots of quizzes and exercises are waiting for you.

You will also have access to all the resources used in this course.

Instructor Support - Quick Instructor Support for any queries.

I'm looking forward to see you in the course!

Enroll now and become an expert in data visualizations.