Course Information
- Course Price $250
- Total Students 800+
- Course Duration 4 Weeks
Description
R Programming is a powerful statistical programming language. You can evaluate large datasets in a shorter period with R programming.
It is becoming the most sought-after skill in the area of analytics for its open source credibility.
The amazing packages present in R will assist in making out a short data analysis. R can also be coordinated with other data management tools including Excel, Oracle, SQL Server etc.
Benefits
- When you have knowledge of R programming and a reasonable knowledge of statistics then you will have an amazing career in data analytics.
- Being a free software makes R an exhaustively used programming language. This also leads to creation of a lot of opportunities for professionals who are interested in taking up a career in R Programming.
Syllabus
Module:1 R Programming
- overview of R programming
- Downloading and installing
- Help of Function
- Viewing documentation
- General issues in R
- Package Management
Module:2 Data Inputting in R
- Data Types
- Sub setting
- Writing data
- Reading from csv files
- Creating a vector and vector operation
- Initializing data frame
- Control structure
- Redirecting R output
Module:3 Data Visualization
- Creating bar chart and dot plot
- Creating histogram and box plot
- Plotting with base graphics
- Plotting and coloring in R
Module:4 Basic Statistic
- Computing Basic Statistics
- Computing means of two samples
- Testing a proportion
- Data Munginng Basics
Module:5 Functions and programming in R
- Flow control:For loop
- if condition
- Debugging tools
Module:6 Data manipulation in R
- List Management
- Data Transformation
- Merging Data Frames
- Outlier Detection
- Combining multiple vectors
Module:7 R an Database
- Performing Queries
- RODBC and DBI Package
- Advanced Data handling
- Combined and restructing data frames
Module:8 Statistical Modelling in R
- Logical Regression
- Hierarchical clustering PCA for Dimensionality Reduction
