Course Content
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Lesson 01: Introduction to R Programming
09:53
Lesson 01: Introduction to R Programming
09:53
Lesson 02: Installing R
09:53
Lesson 03: Variables and Data Types
09:53
Lesson 04: Operators
09:53
Lesson 05: Relational Operators
09:53
Lesson 06: Relational Operators
09:53
Lesson 07: Miscellaneous Operators
09:53
Lesson 08: Conditional Structures
09:53
Lesson 09: Loop Structures
09:53
Lesson 10: Functions
09:53
Lesson 11: Strings
09:53
Lesson 12: Vectors
09:53
Lesson 13: Lists
09:53
Lesson 14: Mathematical Matrices
09:53
Lesson 15: Arrays
09:53
Lesson 16: Factors
09:53
Lesson 17: Data Frames
09:53
Lesson 18: Directories
09:53
Lesson 19: CSV Files
09:53
Lesson 20: CSV Files Part 2
09:53
Lesson 21: Libraries
09:53
Lesson 22: Excel XLSX Files
09:53
Lesson 23: XML Files
09:53
Lesson 24: JSON Files
09:53
Lesson 25: Web Files
09:53
Lesson 26: MySQL
09:53
Lesson 27: Pie Charts
09:53
Lesson 28: Bar Charts
09:53
Lesson 29: Line Graphs
09:53
Lesson 30: Histograms
09:53
Final Exam - Mastering R Programming
Mastering R Programming

Understand factors in R and their importance in statistical modeling and data analysis.

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