• Introduction to AI in Excel
  • 1. Overview of AI in Excel
    • Definition and significance of AI in Excel.
    • Historical context and evolution.
  • 2. Built-in AI Functionalities
    • Flash Fill
      • How Flash Fill works.
      • Practical examples and use cases.
    • Data Types
      • Introduction to data types in Excel.
      • Using AI to recognize and convert data types.
• Data Analysis with AI
  • 1. Introduction to Data Analysis with AI
    • Importance of AI in data analysis.
    • Key concepts and terminology.
  • 2. AI-Powered Data Analysis Tools
    • Insights
      • Generating insights from data.
      • Interpreting AI-generated insights.
    • Data Cleaning
      • Examples of AI-driven data cleaning.
      • Using AI for data cleaning and preparation.
  • 3. Visualizing Data with AI
    • AI-Generated Charts and Graphs
      • Creating visualizations using AI.
      • Customizing and interpreting AI-generated visuals.
• Excel with Copilot
  • 1. Introduction to Copilot in Excel
    • Overview of Copilot features.
    • Benefits of using Copilot in Excel.
  • 2. Practical Applications
    • Automating Tasks
      • Examples of task automation with Copilot.
    • Data Analysis and Reporting
      • Using Copilot for data analysis.
      • Generating reports with Copilot.
• Excel with ChatGPT
  • 1. Introduction to ChatGPT in Excel
    • Overview of ChatGPT integration.
    • Benefits and use cases.
  • 2. Practical Applications
    • Interactive Data Queries
      • Using ChatGPT for querying data.
    • Generating Insights and Recommendations
      • Leveraging ChatGPT for insights.
      • Practical examples and scenarios.
• AI Functions and Formulas
  • 1. Introduction to AI Functions and Formulas
    • Overview of AI-driven functions and formulas.
    • Key benefits and use cases.
  • 2. Common AI Functions
    • Predictive Analysis
      • Using AI for predictive analysis.
      • Practical examples.
    • Anomaly Detection
      • Identifying anomalies with AI.
      • Use cases and examples.
  • 3. Advanced AI Formulas
    • Custom AI Formulas
      • Creating and using custom AI formulas.
    • Integration with Other Tools
      • Integrating AI formulas with other Excel tools.
• Case Study (Dashboard)
  • 1. Introduction to the Case Study
    • Overview of the case study.
    • Objectives and expected outcomes.
  • 2. Data Collection and Preparation
    • Gathering relevant data.
    • Cleaning and preparing data for analysis.
  • 3. Data Analysis and Visualization
    • Analyzing data using AI tools.
    • Creating visualizations to represent findings.
  • 4. Dashboard Creation
    • Designing the dashboard layout.
    • Integrating AI-driven insights and visualizations.
    • Finalizing and presenting the dashboard.

This course is ideal for:

• Data analysts and business analysts
• Finance and accounting professionals
• Project managers and operations personnel
• Students and professionals seeking to upskill in AI-powered tools
• Anyone using Excel who wants to improve efficiency and harness AI for smarter work

• Basic Computer Skills: Familiarity with using a computer, including navigating the operating system (Windows or Mac), managing files, and using a keyboard and mouse.
• Understanding of Spreadsheet Concepts: General awareness of spreadsheets, their purpose, and their use in organizing, analyzing, and storing data effectively.

Upon successful completion of the training, participants will be able to:

• Understand the role and impact of AI in Excel
• Use built-in AI features like Flash Fill and data types effectively
• Perform data cleaning and analysis using AI tools
• Create AI-generated charts and visualizations
• Leverage Excel Copilot for task automation and advanced reporting
• Integrate ChatGPT within Excel for interactive querying and insight generation
• Apply AI functions and formulas for predictive analysis and anomaly detection
• Build a complete AI-powered dashboard from data collection to final visualization