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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