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What you’ll learn

  • Deep understanding of data visualization in R
  • Project on Data Visualization – Analyzing & Visualizing Covid-19
  • What is data visualization and selecting the right chart type
  • Importance of data visualization & and its benefits
  • Applications of data visualization
  • R programs for scatterplot, histogram, bar & stacked bar chart, boxplot, heatmap, line chart, density plot, pie chart
  • Data Visualisation with ggplot2 package
  • What is ggplot2, plotting with ggplot2, building your plots iteratively
  • Univariate distributions & bar plot, annotation with ggplot2, axis manipulation, density plot
  • More data visualization tools in R, text mining and word cloud
  • Radar chart, waffle chart, area chart, correlogram

Description

Data Visualization with R – course syllabus

1. Data Visualization in R

  • What is data visualization?
  • Selecting right chart type
  • Importance of data visualization & its benefits
  • Applications of DATA Visualization
  • R Programs for Scatterplot, Histogram, Bar & Stacked bar chart, boxplot, heatmap, line chart, density plot, pie chart

2. Data Visualization with ggplot2 package

  • What is ggplot2
  • Plotting with ggplot2
  • Building your plots iteratively
  • Univariate distributions & bar plot
  • Annotation with ggplot2
  • Axis manipulation
  • Density plot

3. More Data Visualization tools in R

  • Text mining and word cloud
  • Radar chart
  • Waffle chart
  • Area Chart
  • Correlogram

Project on Data Visualization

  • “Visualizing Covid-19” comprehensive project – create from scratch

Who this course is for:

  • Data Visualization Analysts & Consultants
  • Data Analytics Specialists
  • Data Visualization Designers
  • Reporting Analysts & Business Intelligence (BI) Analysts
  • Data Analytics and Visualization Managers
  • Beginners and newbies interested in BI, Analytics, Visualization
  • Data Scientists, Data Engineers, Data Integration Experts
  • R Programmers & Developers
  • Full Stack Data Visualization Developers
  • Senior BI & Data Visualization Analysts
  • Anyone aspiring for a career in Data Visualization
  • Business Analysts & Consultants
  • Marketing & Finance Analysts
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