Introduction to R for Data Science. MPP Data Science

Este curso pertenece al Microsoft Professional Program for Data Science

 

Índice

Start Here

  • Welcome to the Course!
  • Pre-course survey

1. Basics

  • Lecture: R: The true basics
  • Lab: R: The true basics
  • Lecture: Basic data types
  • Lab: Basic Data Types
  • Further Readings

2. Vectors

  • Lecture: Create and name vectors
  • Lab: Create and name vectors
  • Lecture: Vector Arithmetic
  • Lab: Vector Arithmetic
  • Lecture: Vector Subsetting
  • Lab: Vector Subsetting
  • Further Readings

3. Matrices

  • Lecture: Create and name matrices
  • Lab: Create and name matrices
  • Lecture: Matrix subsetting
  • Lab: Matrix subsetting
  • Lecture: Matrix Arithmetic
  • Lab: Matrix Arithmetic
  • Further Readings

4. Factors

  • Lecture: Factors
  • Lab: Factors
  • Further Readings

5. Lists

  • Lecture: Create and name lists
  • Lab: Create and name lists
  • Lecture: Subset and extend lists
  • Lab: Subset and extend lists
  • Further Readings

6. Data frames

  • Lecture: Explore the data frame
  • Lab: Explore the data frame
  • Lecture: Subset, extend and sort your data frame
  • Lab: Subset, extend and sort your data frame
  • Further Readings

7. Graphics

  • Lecture: Basic graphics
  • Lab: Basic graphics
  • Lecture: Customizing your plots
  • Lab: Customizing your plots
  • Lecture: Multiple plots
  • Lab: Multiple plots
  • Further Readings

Final Exam and Course Wrap-up

  • Final Exam
  • Course Wrap-up
  • Post-course Survey

     

    Soporte

    Curso con soporte individualizado según se indica en https://nanfor.com/pages/soporte-2-0 

     

    * Todas las tarifas son bonificables menos el examen solo.

      €295.00