Media Storage Type : 32 GB USB Stick
NPTEL Subject Matter Expert : Prof. Shalabh
NPTEL Co-ordinating Institute : IIT Kanpur
NPTEL Lecture Count : 43
NPTEL Course Size : 2.9 GB
NPTEL PDF Text Transcription : Available and Included
NPTEL Subtitle Transcription : Available and Included (SRT)
Lecture Titles:
Lecture 1 - How to Learn and Follow the Course
Lecture 2 - Why R and Installation Procedure
Lecture 3 - Introduction _Help_ Demo examples_ packages_ libraries
Lecture 4 - Introduction _Command line_ Data editor _ Rstudio
Lecture 5 - Basics in Calculations
Lecture 6 - Basics of Calculations _ Calculator _Built in Functions Assignments
Lecture 7 - Basics of Calculations _Functions _Matrices
Lecture 8 - Basics Calculations: Matrix Operations
Lecture 9 - Basics Calculations: Matrix operations
Lecture 10 - Basics Calculations: Missing data and logical operators
Lecture 11 - Basics Calculations: Logical operators
Lecture 12 - Basics Calculations: Truth table and conditional executions
Lecture 13 - Basics Calculations: Conditional executions and loops
Lecture 14 - Basics Calculations: Loops
Lecture 15 - Data management - Sequences
Lecture 16 - Data management - sequences
Lecture 17 - Data management - Repeats
Lecture 18 - Data management - Sorting and Ordering
Lecture 19 - Data management - Lists
Lecture 20 - Data management - Lists (Continued...)
Lecture 21 - Data management - Vector indexing
Lecture 22 - Data management - Vector Indexing (Continued...)
Lecture 23 - Data management - Factors
Lecture 24 - Data management - factors (Continued...)
Lecture 25 - Strings - Display and Formatting, Print and Format Functions
Lecture 26 - Strings - Display and Formatting, Print and Format with Concatenate
Lecture 27 - Strings - Display and Formatting, Paste Function
Lecture 28 - Strings - Display and Formatting, Splitting
Lecture 29 - Strings - Display and Formatting, Replacement_ Manipulations _Alphabets
Lecture 30 - Strings - Display and Formatting, Replacement and Evaluation of Strings
Lecture 31 - Data frames
Lecture 32 - Data frames (Continued...)
Lecture 33 - Data frames (Continued...)
Lecture 34 - Data Handling - Importing CSV and Tabular Data Files
Lecture 35 - Data Handling - Importing Data Files from Other Software
Lecture 36 - Statistical Functions - Frequency and Partition values
Lecture 37 - Statistical Functions - Graphics and Plots
Lecture 38 - Statistical Functions - Central Tendency and Variation
Lecture 39 - Statistical Functions - Boxplots, Skewness and Kurtosis
Lecture 40 - Statistical Functions - Bivariate three dimensional plot
Lecture 41 - Statistical Functions - Correlation and Examples of Programming
Lecture 42 - Examples of Programming
Lecture 43 - Examples of More Programming