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Course Outline

Foundational Excel Skills

  • Navigating the interface
  • Data manipulation techniques
  • Utilizing formulas and cell references
  • Creating charts

Advanced Excel Capabilities

  • Applying logical functions
  • Conducting scenario analysis
  • Using the Solver tool
  • Recording and managing macros
  • Introduction to programming with VBA

Visual Basic for Applications (VBA)

  • Understanding data types
  • Developing custom functions
  • Program control through conditionals and loops
  • Applying debugging techniques

Data Analytics with Python

  • Getting started with Python
  • Variables and data types
  • Data manipulation using the Pandas library
  • Writing reusable functions
  • Visualizing data with Matplotlib and Seaborn
  • Data wrangling with Pandas

Introduction to Machine Learning with Python

  • Linear Regression via scikit-learn
  • Classification and regression trees in Python
  • Classification using 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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