R Programming Language (Data Science) Course - Overview

Statistics & Forecasting is used in Field of Data Science which is vital for growth of a company & their estimated sales projections.
Hence R Which is an Free, Open Source Analysis Tool powered by its large Coder Base, Modules & Libraries to help Companies for their Statistical requirements free of Licensing Cost. Since it is Free it is widely used in Companies for their Analysis purposea as against Costly Licensing Requirements of SAS.
An Alternative to SAS

Syllabus

3 weeks (20 hours)

R Configuration
- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R console and Editor
Understanding R data structure
- Variables in R
- local and global variables
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind,Rbind, attach and detach functions in R
- Factors
- Using R Operators

Decision Making
- If Elseif Else Conditions
- While Loop
- For Loop etc
Importing data
- Reading Tabular Data files
- Reading CSV files
- Importing data from excel
- R Assignment Operators
- Saving in R data
- Loading R data objects
- Writing to files

Manipulating Data
- Selecting rows/observations
- Selecting columns/fields
- Merging data
- Relabelling the column names
- Converting variable types
- Data sorting
- Data aggregation
R functions
- Arithmetic
- Mathematical
- Summary
- String
- User Defined functions

Data Visualization - Charts and Plots
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing graphs
GG Plots
Statistics in R
- Mean, Median and Mode
- Correlation
- Variance and Standard deviation
- Covariance Analysis
Case Study / Project