Course Type :
paid
Duration :
20 hrs
Category
AI and Data Science
what students say
R Programming Training
Course Description
<p>R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners, bioinformaticians and statisticians for data analysis and developing statistical software.</p>
Curriculum
- Basic Syntax & Parameters
- Math, Variables & Strings
- Vectors and Factors
- Vector Operations
- Arrays & Matrix
- Lists
- Data-frames
- Conditional Statements
- Usage of Functions
- Classes & Objects
- Debugging & Others
- Reading CSV & Excel Types File-format
- Reading text files
- Writing & Saving data objects to file
- String operations
- Regular Expressions
- Dates
- Merge two dataset
- Append/bind two dataset
- Filter & Select function
- Calculations
- Data Categorization
- Descriptive statistics
- Summary Statistics
- Table Generation (One Way, Multi Way)
- T–test
- One Sample t-test
- Independent Sample t-test
- Paired Sample t-test
- One Way ANOVA
- Chi-square test
- Correlation
- Regression
- Non Parametric test (Kruskal – Wallis / Man-Whitney Test)
- Part 1 - Relational Databases
- Part 2 - Connecting with Relational Databases using RJDBC & RODBC
- Part 3 - Database Design & Querying Data
- Part 4 - Modifying Data & Using Stored Procedures
- Part 5 - Database Analytics
- Bar Charts
- Histograms
- Pie-Charts
- Scatter Plots
- Line Plots & Regression
- Word Clouds
- Radar Charts
- Waffle Charts
- Box Plots
- Bonus – Introduction to Shiny