Course Overview:
This course offers hands-on experience with R and its major features, including installation, data analytics, data science and real time applications. On completion, participants will have a solid foundation for creating enterprise-ready models using R.
Course Objectives:
- End to End data science model creation using R
- Basic and Advance data analytics
- Reap insights out of data
- Visualizations using R
Pre-requisites:
- Basic programming background is preferred
- Good to know basic statistics even though it will be part of syllabus
Target Audience:
- Developers
- Data Analytics
Course Duration:
- 21 hours – 3 days
Course Content:
MODULE 1: INTRODUCTION TO R
- Installing R
- Basics of Statistics
- Using R in real world
MODULE 2: CORE PROGRAMMING PRINCIPLES
- Types of variables
- Using Variables
- Logical Variables and Operators
- The “While” Loop · Using the console
- The “For” Loop
- The “If” statement
- Law of Large Numbers
MODULE 3: FUNDAMENTALS OF R
- What is a Vector?
- Let’s create some vectors
- Using the [] brackets
- Vectorized operations
- The power of vectorized operations
- Functions in R
- Packages in R
- Financial Statement Analysis
MODULE 4: MATRICES
- Project Brief: Basketball Trends
- Matrices · Building Your First Matrix
- Naming Dimensions
- Colnames() and Rownames()
- Matrix Operations
- Visualizing With Matplot()
- Subsetting
- Visualizing Subsets
- Creating Your First Function
- Basketball Insights
- Basketball Free Throws
MODULE 5: Data Frames
- Project Brief: Demographic Analysis
- Importing data into R
- Exploring your dataset
- Using the $ sign
- Basic operations with a Data Frame
- Filtering a Data Frame
- Introduction to qplot
- Visualizing With Qplot: Part I
- Building Dataframes
- Merging Data Frames
- Visualizing With Qplot: Part II
- World Trends
MODULE 6: ADVANCED VISUALIZATION WITH GGPLOT2
- Project Brief: Movie Ratings
- Grammar Of Graphics – GGPlot2
- What is a Factor?
- Aesthetics
- Plotting With Layers
- Overriding Aesthetics
- Mapping vs Setting
- Histograms and Density Charts
- Starting Layer Tips
- Statistical Transformations
- Using Facets
- Coordinates
- Perfecting By Adding Themes
- Movie Domestic % Gross
MODULE 7: REAL TIME CASE STUDIES
