Course curriculum

  • 1

    1_Course Introduction

    • 1_Course Introduction

    • 2_Data Science intro of the course
  • 2

    2_R Programming Introduction

    • 1_Overview of R Programming Language
  • 3

    3_Installation Guide

    • 1_Install R & RStudio

    • 2_Overview of RStudio
  • 4

    4_Version Control

    • 1_Version Control

    • 2_Version Control Software

    • 3_Version Control Vocabulary

    • 4_Signup Github

    • GitHub and Git

    • 5_Github Repo

    • 6_Git

    • 6_Link RStudio Git

    • 7_Commit Push from RStudio

    • 8_Version Control Conclusion

    • 4.7.Linking Git
  • 5

    5_Practice Exercises

    • 1_Practice Exercises

    • Practice Exercises at GitHub Ejercicios de práctica en GitHub
  • 6

    8_Getting Help in R

    • 1_Getting Help
  • 7

    6-7_Data Types and Basic Operations Part I

    • 1_Objects & Numbers

    • 2_Attributes & Evaluation

    • 3_Vectors & Corecion

    • 4_Matrices

    • 5_Binding & List

    • 9_Object Names

    • 7_Missing Values

    • 8_DataFrame

    • 10_Summary

    • 6_Factors
  • 8

    9_Data Types and Basic Operations Part II

    • 3_NA Values

    • 2_Subset Lists

    • 1_Subset Vector Matrix
  • 9

    10_Control Structures

    • 1_Control Structures If else

    • 3_Control Structures While Loop

    • 2_Control Structures For Loop
  • 10

    11_Functions

    • 1_Functions
  • 11

    12_Coding Standards

    • 1_Coding Standards
  • 12

    13_Vectorized Operations

    • 1_Vectorized Operations
  • 13

    14_Date Time

    • 1_Date Time
  • 14

    15_Loop Functions

    • 5_Loop Summary

    • 2_Loop sappy

    • 4_Loop tappy

    • 1_Loop lappy

    • 3_Loop appy
  • 15

    16_Data Split

    • 1_Data Split
  • 16

    17_Course Conclusion

    • 1_Course Conclusion
  • 17

    18_Resources

    • R Programming
  • 18

    19_Solution link submission

    • Solution Link Submission