MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 146 lectures (8h 3m) | Size: 6.43 GB

Master Advanced Data Visualization, Data Preprocessing, Data Wrangling in Python with Industry Level Projects

What you'll learn:
Learn about python variables and data types.
Learn about loops and conditionals in python.
Learn how to work with python strings.
Learn about Regular expressions and date time objects in Python.
Learn about the Numpy and the Pandas library.
Learn about Univariate, Bivariate and Multivariate Analysis.
Learn about advanced visualization such as facet grids, polar charts, waffle charts, maps, statistical charts etc.
Learn about animated visualizations such as bubble plot, facets, scatter maps and choropleth maps.
Learn about some more miscellaneous charts such as sunburst charts, parallel-coordinate charts, gantt charts etc.
Learn exploring data using Dabl and Sweetviz library.
Learn about working on real-world projects.

Requirements
Students Must be having a Laptop/PC
Students Must have an Active Internet Connection
Students Must have adequate Knowledge of English Language
Students Must have Basics of Programming
Students Must be willing to Learn Data Visualization

Description
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.

Who this course is for
Beginner Software Developers willing to Upskill
Data Scientists willing to Learn Advanced Data Visualizations
Business Analysts curious to Learn Data Visualizations with Python
Beginners and Freshers willing to Learn something new
Beginner Data Analyst willing to Learn Visualization
Beginner Python Developers Curious to Upskill
Homepage
[url=https://www.udemy.com/course/data-visualization-wrangling-python/]https://www.udemy.com/course/data-visualization-wrangling-python/

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