Course Description

Advanced Analytics with R is designed to develop proficient analysts with advanced analytics techniques including segmentation, machine learning, decision trees, and more.

John Wiley & Sons, Inc. USA

Established in 1807, Wiley is a global provider of content-enabled solutions to improve outcomes in research, education and professional practice with online tools, books, and eLearning trainings. Wiley’s strength lies in every major scientific, academic, and professional field.

Course curriculum

  • 1

    5.1 Linear Regression in R

    • 5.1.1 Linear Regression in R - Conceptual Understanding Part-1

    • 5.1.2 Linear Regression in R - Conceptual Understanding Part-2

    • 5.1.3 Performing Regression

    • P.5.1 Linear Regression in R Part-1

    • P.5.1 Linear Regression in R Part-2
  • 2

    5.2 Non-linear Regression

    • 5.2.1 Nonlinear Regression Part-1

    • 5.2.2 Nonlinear Regression Part-2

    • P.5.2 Non Linear Regression in R Part-1

    • P.5.2 Non Linear Regression in R Part-2
  • 3

    5.3 Cluster Analysis

    • 5.3.1 CLuster Analysis Part-1

    • 5.3.2 Cluster Analysis Part-2

    • 5.3.3 Performing Cluster Analysis

    • 5.3.4 Performing Customer Segmentation

    • P.5.3 Cluster Analysis Part-1

    • P.5.3 Cluster Analysis Part-2
  • 4

    5.4 Decision Trees

    • 5.4.1 Predicting Churn - Decision Trees

    • 5.4.2 Decision Trees Concepts Part-1

    • 5.4.3 Decision Trees Concepts Part-2

    • 5.4.4 Decision Trees Concepts Part-3

    • P.5.4 Decision Trees Part-1

    • P.5.4 Decision Trees Part-2