Mastering in Visualization with R programming

Graphs with R analytic tool
3.79 (17 reviews)
Udemy
platform
English
language
Web Development
category
Mastering in Visualization with R programming
426
students
3.5 hours
content
Feb 2019
last update
$13.99
regular price

Why take this course?

πŸŽ“ Course Title: Mastering Data Visualization with R Programming

πŸš€ Course Headline: Dive into the World of Analytics with Elementary Learners - A Comprehensive Guide to Visualizing Data like a Pro using R!


Welcome to "Mastering Data Visualization with R Programming"! If you're eager to transform raw data into compelling visual stories, then this is the course for you. πŸ“ŠπŸ’»

Why Take This Course?

  • R is Essential: Understand the core of data analysis and visualization with R – a powerful tool for statisticians and data miners worldwide.
  • Visualize Your Data: Learn to create a wide array of graphs and charts that communicate your findings effectively.
  • Master the Art: From basic plots to complex 3D visualizations, this course will take you on a journey to master data visualization in R.

Course Structure Overview:

  1. Introduction to R Programming:

    • Setting up your R environment (RStudio, etc.)
    • Basic syntax and operations
    • Understanding data structures in R
  2. Exploring R Graphics:

    • The foundation of R graphics system
    • Base R plotting functions (plot(), hist(), lines(), etc.)
    • Customizing plots with annotations, legends, and colors
  3. Advanced Visualization Techniques:

    • Introduction to key packages: ggplot2, plotrix, googleVis
    • Creating various types of visualizations:
      • πŸ“ˆ Bar Plots & Scatter Plots
      • πŸ”„ Histograms & Pie Charts
      • 🌍 Google Maps Visualization
      • β˜‚οΈ Wordclouds & Box Plots
      • πŸ“Š Organizational Charts & Pictographs
      • And many more!
    • Advanced chart types like nested barcharts, Gantt charts, and interactive plots
  4. Data Visualization in Depth:

    • Best practices for creating effective visualizations
    • Data transformation and cleaning for better visualizations
    • Enhancing your visualizations with themes, scales, and layers
  5. Real-world Applications:

    • Case studies of successful data visualizations using R
    • Project work: Create your own comprehensive dataset visualization

What You Will Learn:

  • Understanding Data: How to import, manipulate, and analyze data in R.
  • Advanced Visualization Techniques: Techniques for creating sophisticated, interactive, and dynamic graphics.
  • Package Utilization: Maximize the potential of R with powerful packages like ggplot2 and plotrix.
  • Effective Communication: Translate your findings into clear and compelling visualizations.

By the end of this course, you will be able to:

  • Proficiently use R for data visualization tasks.
  • Create a multitude of graph types tailored to your data.
  • Analyze and present data in a way that is both insightful and visually appealing.

πŸŽ₯ Join us on this visual journey with R, and turn your raw data into powerful stories! Enroll now and unlock the full potential of your datasets through the art of data visualization. 🌟

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935376
udemy ID
19/08/2016
course created date
01/07/2019
course indexed date
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