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Course Outline

Excel Fundamentals

  • Interface navigation
  • Data manipulation techniques
  • Utilizing formulas and cell references
  • Creating charts

Advanced Excel Techniques

  • Logical functions
  • Scenario analysis
  • Using the Solver add-in
  • Macros
  • Introduction to code: VBA

VBA Programming

  • Understanding data types
  • Constructing custom functions
  • Program control: conditional logic and loops
  • Debugging strategies

Data Analytics with Python

  • Overview of Python
  • Variables and data types
  • Manipulating data with Pandas
  • Defining functions
  • Visualizing data using Matplotlib and Seaborn
  • Data wrangling with Pandas

Introduction to Machine Learning with Python

  • Linear Regression with scikit-learn
  • Classification and Regression Trees (CART) in Python
  • Classification methods: Support Vector Machines and Random Forests
  • Clustering techniques using scikit-learn

Requirements

No specific prerequisites are required to enroll in this course.

 42 Hours

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