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- Variable Assignment
- What is a Data type?
- Data types in R
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Quick Facts
| particular | details | |||
|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
Fees information
₹ 9,600 ₹12,000
certificate availability
Yes
certificate providing authority
Mindmajix Technologies
The syllabus
Introduction to R programming
Loops and Statements
- “While” Loop
- “For” Loop
- “IF” statement
Building Blocks of R
- Introduction to Objects
- Creating an Object
- Coercion rules
- Functions and Arguments
- Creating a function in R
Strings
- Format and Print functions
- Paste function
- Splitting
- Replacement and Manipulations
Vectors
- Introduction to vectors
- Vector recycling
- Creating and Naming a Vector
- Calculating and Comparing total winning
Matrices
- Creating a Matrix
- Indexing the element from a Matrix
- Slicing a Matrix
- Matrix Arithmetic
- Matrix Operations
- Lists
Data Frames
- Introduction to Data frames
- Creating a Data frame
- Data Import and Export
- Importing a CSV
- Slicing and Indexing a Data frame
- Data Frame operations
Manipulating and Visualizing the Data
- Data Transformations with R through Dplyr package
- Sampling Data
- Pipe operator
- Tidying Data - gather(), unite(), separate(), and spread()
- Introduction to Data visualisation
- Introduction to ggplot2
- Building a Histogram and bar chart with ggplot2
- Building a scatterplot through ggplot2
Calculations
- Sequences
- Repeats
- Ordering and Sorting
Data Analysis
- Differentiate Population and Sample
- Skewness
- Mean, Median, and Mode
- Correlation and Covariance
- Confidence Intervals and Standard Deviation
- Hypothesis Testing
- Type I and Type II errors
- Test for the mean
- P-value
- Comparing two means
- Linear Regression Model
- Differentiate Regression and Correlation
- Geometrical representation
- Doing a Regression
- Interpreting the Regression table
- R-squared
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