This course is a 35-hour program designed to provide a comprehensive introduction to R for Data Analysis and Visualization. You’ll learn how to load, save, and transform data as well as how to write functions, generate graphs, and fit basic statistical models with data. In addition to a theoretical framework in which to understand the process of data analysis, this course focuses on the practical tools needed in data analysis and visualization. By the end of the course, you will have mastered the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
Prerequisites
- Basic knowledge about computer components
- Basic knowledge about programming
Certificate- Certificates are awarded at the end of the program at the satisfactory completion of the course.
SyllabusUnit 1: Basic Programming with R
Introduction to R- What is R?
- Why R?
- How to learn R
- RStudio, packages, and the workspace
Basic R language elements
- Data object types
- Local data import/export
- Introducing functions and control statements
In-depth study of data objects
Functions
Functional Programming
Unit 2: Basic Data Elements
Data transformation
Character manipulation
String manipulation
Dates and timestamps
Web data capture
API data sources
Connecting to an external databaseUnit 3: Manipulating Data with “dplyr”
- Subset, transform, and reorder datasets
- Join datasets
- Groupwise operations on datasets
Unit 4: Data Graphics and Data Visualization
Core ideas of data graphics and data visualization
R graphics engines
Big data graphics with ggplot2
Unit 5: Advanced Visualization
Customized graphics with ggplot2
- Titles
- Coordinate systems
- Scales
- Themes
- Axis labels
- Legends
Other plotting cases
- Violin Plots
- Pie charts
- Mosaic plots
- Hierarchical tree diagrams
- scatter plots with multidimensional data
- Time-series visualizations
- Maps
- R and interactive visualizations
Final Project
- After 35 hours of structured lectures, students are encouraged to work on an exploratory data analysis project based on their own interests. A project presentation demo will be arranged afterwards.
Recommended Readings
- R in a Nutshell, by Joseph Adler
- R Graphics Cookbook: http://www.cookbook-r.com/Graphs/
- Data Manipulation with R, by Phil Spector
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
School Notes: We offer a certification licensed by the NYS Board of Education.