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Course Outline

Excel Fundamentals

  • Interface navigation
  • Data manipulation techniques
  • Utilizing formulas and cell references
  • Chart creation and interpretation

Advanced Excel Capabilities 

  • Application of logical functions
  • Conducting scenario analysis
  • Using the Solver tool
  • Working with macros
  • Introduction to coding via VBA

VBA Programming

  • Understanding data types
  • Developing custom functions
  • Program control through conditional logic and loops
  • Applying debugging methods

Data Analytics using R

  • Overview of the R environment
  • Variables and data classes
  • Manipulating data structures in R
  • Function development
  • Visualizing data with ggplot
  • Data cleaning and shaping with Dplyr

Foundations of Machine Learning in R

  • Linear Regression models
  • Decision trees for classification and regression
  • Classification methods using Support Vector Machines and Random Forests
  • Various clustering algorithms

Requirements

No prior specific prerequisites are required to participate in this course.

 42 Hours

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