Mastering Data Visualization with R

Learn how to create advanced data visualizations with R in order to transform your data into actionable insight.

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Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Frontend Developer, Full Stack Developer, Web Engineer.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Introduction : 11mins.
  • Visualizing Spatial Data : 21mins.
  • Visualizing Hierarchical Data : 17mins.
  • Visualizing Graph and Network Data : 10mins.
  • Visualizing Textual Data : 13mins.
  • Animating Data Visualizations : 15mins.
  • Creating Interactive Data Visualizations : 12mins.
See side-by-side differences in what you’ll learn

Description

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, Mastering Data Visualization with R, you will learn how to answer questions about your data by creating advanced data visualizations with R. First, you'll learn how to create and interpret data visualizations that involve spatial data, hierarchical data, graph and network data, and textual data. Then, you'll learn how to create animated data visualizations. Finally, you'll learn how to create web-based interactive data visualizations using a framework called Shiny. By the end of this course, you'll have the skills necessary to create and interpret a variety of data visualizations using R.

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Mastering Data Visualization with R
4(34+ learners)