"Master R for data analysis, visualization, and statistical computing. Learn programming fundamentals and apply them to real-world datasets."...
This course provides a comprehensive introduction to the R programming language, a powerful tool for statistical analysis and data visualization. Participants will learn fundamental concepts and techniques for data manipulation, exploration, and visualization using R.
Key Points:
Basic Syntax and Data ...
How to Learn and Follow the Course
7mLecture 01 - Why R and Installation Procedure
22mLecture 02 : Introduction _Help_ Demo examples_ packages_ libraries
31mLecture 03 : Introduction _Command line_ Data editor _ Rstudio
45mLecture 04 : Basics in Calculations
39mLecture 05 : Basics of Calculations _ Calculator _Built in Functions Assignments
20mLecture 06 : Basics of Calculations _Functions _Matrices
27mLecture 07 - Basics Calculations: Matrix Operations
25mLecture 08 - Basic calculations: Matrix operations
26mLecture 09 - Basic calculations: Missing data and logical operators
29mLecture 10 - Basic calculations: Logical operators
26mLecture - 11 Basics calculations: Truth table and conditional executions
25mLecture 12 - Basics calculations: Conditional executions and loops
28mLecture 13 - Basics calculations: Loops
20mLecture 14 - Data managment: Sequences
29mLecture 15 - Data management : sequences
35mLecture 16 - Data management : Repeats
31mLecture 17 - Data management : Sorting and Ordering
20mLecture 18 - Data management : Lists
25mLecture 19 - Data management: Lists (continued)
23mLecture 20 - Data management : Vector indexing
36mLecture 21 - Data management : Vector Indexing (continued)
29mLecture 22 - Data management: Factors
33mLecture 23 - Data management: factors (continued)
28mLecture 24: Strings -Display and Formatting, Print and Format Functions
21mLecture 25 : Strings - Display and Formatting, Print and Format with Concatenate
22mLecture 26 : Strings - Display and Formatting, Paste Function
27mLecture 27 : Strings - Display and Formatting, Splitting
16mLecture 28 : Strings - Display and Formatting, Replacement_ Manipulations _Alphabets
31mLecture 29 : Strings - Display and Formatting, Replacement and Evaluation of Strings
31mLecture 30 : Data frames
32mLecture 31 : Data frames (Continued )
25mLecture 32 : Data frames (Continued)
28mLecture 33 : Data Handling - Importing CSV and Tabular Data Files
33mLecture 34: Data Handling - Importing Data Files from Other Software
41mLecture 35 : Statistical Functions : Frequency and Partition values
31mLecture 36 : Statistical Functions - Graphics and Plots
31mLecture 37 : Statistical Functions - Central Tendency and Variation
34mLecture 38 : Statistical Functions - Boxplots, Skewness and Kurtosis
35mLecture 39 : Statistical Functions - Bivariate three dimensional plot.
34mLecture 40 : Statistical Functions - Correlation and Examples of Programming
28mLecture 41: Examples of Programming
43mLecture 42 : Examples of More Programming
27m