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This course is designed to enhance participants’ skills in using Microsoft Excel and AI tools for advanced
data analytics and visualization. Participants will explore the powerful data manipulation, analysis, and
visualization features of Excel, while also integrating AI tools to streamline tasks and uncover deeper
insights. The course will provide hands-on experience in cleaning, analyzing, and presenting data in
meaningful ways, equipping participants with the tools necessary for smarter, data-driven decision-making.

What will you learn in this Microsoft Excel: Data Analytics and Visualization With AI Tools?

• Import and manage data from various sources into Excel for seamless analysis.
• Clean and manipulate data effectively using Excel’s built-in functions and AI-enhanced
  features.
• Apply advanced Excel functions for logical analysis, data matching, and categorization.
  Utilize AI-powered features, such as predictive modeling and automated insights, within Excel.
• Visualize data effectively using Excel’s tools, including charts, conditional formatting, and
  sparklines.
• Create dynamic, interactive dashboards using PivotTables, PivotCharts, and slicers for
  enhanced data exploration and storytelling.
• Automate repetitive tasks and streamline analysis using Excel’s macros and AI-enhanced
  automation tools.

Course Outline

Module 1: Getting Data Into Microsoft Excel
Import data from multiple platforms into Excel for further analysis
Explore methods for efficient data importing and connecting to external data sources
Integrate AI tools to enhance data retrieval and preprocessing

Module 2: Data Cleaning and Manipulation
Utilize functions for combining and splitting text to enhance data readability
Clean data, remove unwanted characters, and ensure accuracy for better analysis
Leverage AI tools for data cleaning, such as automatic error detection and correction

Module 3: Working With Numbers and Dates
Convert data types from text to numbers, dates to text, and both numbers and text to dates
Master functions for generating dates, calculating days between dates, and more
Use AI tools to automate complex calculations and date manipulations

Module 4: Defined Names for Better Data Management
Learn how to use cell referencing and naming for improved data organization
Create named ranges and automate processes for enhanced efficiency
Implement AI tools to optimize data organization and structure

Module 5: Automating Data Manipulation With Tables
Utilize SMART TABLES for creating, formatting, and managing data tables
Format, sort, and filter data efficiently for improved organization
Apply AI tools to automate data sorting, analysis, and reporting

Module 6: Logical And Lookup Functions
Evaluate data using nested IF functions for advanced logical operations
Perform logical operations with IF, categorize data using VLOOKUP and XLOOKUP
Master advanced functions such as INDEX and MATCH for precise data matching
Integrate AI for predictive analysis and automated decision-making within Excel

Module 7: Data Visualization
Visualize data effectively using conditional formatting, sparklines, and number formats
Utilize standard charts (line, pie, scatter) and specialized charts (hierarchy, waterfall, funnel,
etc.) for insightful data representation
Leverage AI tools to generate visualizations and identify trends automatically

Module 8: Creating Interactive Dashboards
Summarize data dynamically using PivotTables for quick insights
Customize, group, sort, and filter pivot data for interactive dashboards
Create engaging dashboards with pivot charts, slicers, and timelines
Integrate AI tools to enhance dashboard interactivity and data presentation