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Course Outline

Excel Basics

  • Navigation within the interface
  • Data manipulation techniques
  • Using formulas and cell references
  • Creating charts

Advanced Excel

  • Logical functions
  • Scenario analysis
  • Using the Solver tool
  • Macros
  • Introduction to code: VBA

VBA

  • Understanding data types
  • Writing custom functions
  • Program control: conditional logic and loops
  • Debugging methods

Data Analytics with R

  • Overview of R
  • Variables and data types
  • Data manipulation in R
  • Function creation
  • Data visualization using ggplot
  • Data wrangling with Dplyr

Introduction to Machine Learning with R

  • Linear Regression
  • Classification and Regression Trees (CART)
  • Classification via Support Vector Machines and Random Forests
  • Clustering methodologies

Requirements

No prior specific requirements are needed to participate in this course.

 42 Hours

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