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Course Outline

Excel Fundamentals

  • Navigation
  • Data manipulation
  • Formulas and cell references
  • Charting

Advanced Excel 

  • Logical functions
  • Scenario modeling
  • Solver
  • Macros
  • Introduction to coding: VBA

VBA

  • Data types
  • Function development
  • Program control: conditionals and loops
  • Debugging strategies

Data Analytics in R

  • R overview
  • Variables and data types
  • Data manipulation in R
  • Creating functions
  • Visualization with ggplot
  • Data wrangling using Dplyr

Machine Learning Introduction with R

  • Linear Regression
  • Decision trees for classification and regression
  • Classification via Support Vector Machines and Random Forests
  • Clustering methods

Requirements

No prior specific prerequisites are required to join this course.

 42 Hours

Number of participants


Price per participant

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