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Course Outline

Excel Fundamentals

  • Interface navigation
  • Data handling and modification
  • Utilizing formulas and cell references
  • Chart creation

Advanced Excel 

  • Logical functions
  • Scenario modeling
  • Using Solver
  • Automating tasks with Macros
  • Introduction to programming via VBA

Mastering VBA

  • Understanding data types
  • Developing custom functions
  • Program control through conditionals and loops
  • Error detection and debugging methods

Data Analytics using R

  • Getting started with R
  • Variables and data structures
  • Data manipulation within R
  • Creating functions
  • Visualizing data with ggplot
  • Data cleaning and transformation using Dplyr

Getting Started with Machine Learning in R

  • Linear Regression
  • Decision trees for classification and regression
  • Classification using Support Vector Machines and Random Forests
  • Cluster analysis techniques

Requirements

No prior prerequisites are required to join this course.

 42 Hours

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