Programming in R
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What you will get when you take this course:
- World-class course content taught live by the expert Dr R Nageswara Rao.
- Zoom link for the class daily from course start to end date to your mail.
- Opportunity to clarify your doubts at the end of each class.
- Placement Assistance by posting available jobs, exclusively for Datatechs students.
- Certificate of Completion upon successful completion of the course.
Syllabus
- Installation of R & R Studio
- Features of R
- Variables in R
- Constants in R
- Operators in R
- Datatypes and R Objects
- Accepting Input from keyboard
- Important Built-in functions
- Creating Vectors
- Accessing elements of a Vector
- Operations on Vectors
- Vector Arithmetic
- I statement
- if…else statement
- if else() function
- switch() function
- repeat loop
- while loop
- for loop
- break statement
- next statement
- Formal and Actual arguments
- Named arguments
- Global and local variables
- Argument and lazy evaluation of functions
- Recursive functions
- Creating matrices
- Accessing elements of a Matrix
- Operations on Matrices
- Matrix transpose
- Creating strings
- paste() and paste0()
- Formatting numbers and string using format()
- String manipulation
- Creating lists
- Manipulating list elements
- Merging lists
- Converting lists to vectors
- Creating arrays
- Accessing array elements
- Calculations across array elements
- Understanding factors
- Modifying factors
- Factors in Data frames
- Creating data frame
- Operations on data frames
- Accessing data frames
- Creating data frames from various sources
- Need for data visualization
- Bar plot
- Plotting categorical data
- Stacked bar plot
- Histogram
- plot() function and line plot
- pie chart / 3D pie chart
- Scatter plot
- Box plot
- Important functions in stringr
- Regular expressions
- Load data into dataframe
- Viewing the data
- Selecting columns
- Selecting rows
- Reordering the rows
- Pipe operator
- Group operations