Data Visualization Training Course Content

Week 1

IIntroduction to Python Programming

• Understanding Basics of Python
• DataFrames and Arrays
• Cleaning Data
• Preparing Data
• Understanding data
• Preparing Reports

Week 2

Introduction to Plotting

• Understanding the Types of Charts
• Where to use which Chart
• How to Effectively choose the Variables for Visualization
• Modifying the Data according to the need
• Introduction to Matplotlib
• Types of Bar Charts
• Types of Pie Charts

Week 3

Introduction to Visualizations

• Types of Line Charts
• Types of Scatter Charts
• Scientific Plotting
• Box Plots
• Violin Plots
• Bubble Plots
• Advanced Tricks
• Enhancing the View

Week 4

Introduction to Seaborn

• Understanding Seaborn
• Types of Charts available in Seaborn
• Introduction to Color Palettes
• Subplots
• Advanced Charts
• Animated Charts

Week 5

Introduction to R Programming

• Understanding the Basics of R
• Introduction to Programming in R
• Introduction to Lists, DataFrames
• Matrics
• Apply Functions
• Data Cleaning

Week 6

Introduction to Advanced R

• Data Preparation
• Filters, GroupBy, aggregations
• Data Manipulation
• Exploratory Data Analysis
• GGplot
• Types of Charts in ggplot

Week 7

Advanced Data Visualizations

• Types of Charts in GGplot
• Seven Layers in GGplot
• Practising the Charts
• Introduction to Highcharts
• Types of Highcharts

Week 8

Introduction to R Markdown

• Learning the Basic of Markdown
• Scripting with R Markdown
• Introduction to Flex Dashboards
• Introduction to Dashboards in R
• Understanding the Themes and Layouts in R Markdown
• Finalizing the Reports

Week 9

Introduction to Business Case Studies

• Project 1: Sales Analysis
• Project 2: Employee Analysis
• Project 3: Financial Analysis
• Project 4: Market Analysis

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