Course Outline

Basic Excel

  • Navigation
  • Manipulating data
  • Working with formulas and addresses
  • Charts

Advanced Excel 

  • Logical functions
  • Scenario analysis
  • Solver
  • Macros
  • First glimpse of code: VBA

VBA

  • Data types
  • Writing a function
  • Controlling a program: conditional evaluation and loops
  • Debugging techniques

Data Analytics with R

  • Introducing R
  • Variables and types
  • Data manipulation in R
  • Writing functions
  • Data visualization using ggplot
  • Data wrangling with Dplyr

Introduction to Machine Learning with R

  • Linear Regression
  • Classification and regression trees
  • Classification using Support Vector Machines and Random Forests
  • Clustering techniques

Requirements

There are no specific requirements needed to attend this course.

 42 Hours

Number of participants



Price per participant

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