Data Science Research Methods: R Edition. MPP

Este curso pertenece al Microsoft Professional Program for Data Science

 

Índice

Introduction

  • Welcome to the Course
  • About this Course
  • Setup
  • Getting Started

Module 1: The Research Process

  • The Research Process
  • The Psychology of Providing Data
  • Knowledge Check

Module 2: Planning for Analysis

  • Planning for Analysis
  • Power and Sample Size Planning
  • Research Practices
  • Knowledge Check 

Lab: Module 2 Labs

  • Lab 1 - Samping
  • Lab 2 - p values
  • Lab 3 - Cls
  • Lab 4 - Power 1
  • Lab 5 - Power 2

    Module 3: Research Claims

    • Frequency Claims 
    • Association Claims
    • Causal Claims
    • Knowledge Check

      Lab:  Module 3 Labs

      • Lab 1 - Frequency
      • Lab 2 - Association
      • Lab 3 - Causal

        Module 4:  Measurement

        • Survey Design and Measuremen
        • Reliability and Validity
        • Knowledge Check

          Lab:  Module 4 Labs

          • Lab 1 - Reliability
          • Lab 2 - Validity

          Module 5: Correlational and Experimental Design

          • Bivariate and Multivariate Designs 
          • Between and Within Groups Experimental Designs
          • Factorial Designs
          • Knowledge Check

          Lab:  Module 5 Labs

          • Mod 5 Lab 1 - Correlation
          • Mod 5 Lab 2 - Regression
          • Mod 5 Lab 3 - Simple Experiment
          • Mod 5 Lab 4 - Factorial Experiment 

          Final Exam

          • Exam
          • Closing
          • Survey

          Get Microsoft Course Completion Certificate

          • Instructions

          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