Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.5 GB
Genre: eLearning Video | Duration: 15 lectures (8 hour, 37 mins) | Language: English
How to visualize data in R, understand ggplot2 package, data visualization tools in R, and project on Covid-19 analysis.
What you'll learn Homepage: https://www.udemy.com/course/data-visualization-in-r-with-live-project
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
Requirements
Enthusiasm and determination to make your mark on the world!
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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