Introduction to Data Visualization with Matplotlib

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Ken W. Alger

56:22

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01. Getting Started with Data Visualization

01. Welcome to Matplotlib.webm

02:05

02. Getting Started with Charting.webm

04:23

03. The Legend of Charting.webm

05:25

04. Chart Types & Reasons to Use.webm

06:00

intro matplotlib.zip

02. Chart Toppers

01. Our Data Set - Flower Power.webm

04:07

02. Scatter Plot.webm

07:17

03. Histogram.webm

06:01

04. Box Plot.webm

05:35

05. Saving Your Work.webm

03:12

intro matplotlib.zip

03. Data Eruption

01. Problem Discussion.webm

01:48

02. Decision Process.webm

09:22

03. Problem Summary and Presentation.webm

01:07

intro matplotlib.zip

Description

About this Course

Get started creating charts with the Python library, matplotlib, an industry-standard data visualization library. Matplotlib provides a way to easily generate a wide variety of plots and charts in a few lines of Python code. It is an open-source project that can be integrated into Python scripts, jupyter notebooks, web application servers, and multiple GUI toolkits. Whether you are exploring sample data available on the internet, or your own business data, learning matplotlib is a great place to start your data visualization journey.

What you'll learn

Introduction to the Python matplotlib library
Uses and reasons behind the selection of a particular chart type
This course will introduce the user to the concepts of data visualization, which will help them to better understand business drivers and data trends
Explores graph customization to further enhance data reporting and communicating meaning

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Python

Data Science

Data Visualization

Ken W. Alger

Instructor's Courses

Ken has a long history around computers starting with early Commodore PETs and VIC-20s. He enjoys discussing programming and how to get started in the tech industry and is a MongoDB Certified Developer.

He lives in Oregon with his wife and three children. He can be found most places online @kenwalger.

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