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Excel Mastery Pro: Advanced Data Analytics Techniques, and AI Integration Course

Excel Mastery Pro: Advanced Data Analytics Techniques, and AI Integration Course

Master the art of Excel and take your skills to the next level with our advanced data analytics techniques and AI integration in our comprehensive course. and expert-led training.

  • Category Data Analytics
Excel Mastery Pro: Advanced Data Analytics Techniques, and AI Integration Course

What you'll learn

  • Master the Excel interface and basic operations.
  • Utilize basic and advanced formulas and functions.
  • Manage and analyze data effectively.
  • Create and customize data visualizations.
  • Automate tasks using macros.
  • Integrate Excel with other Office applications and AI tools.

Course Syllabus

Excel training
  • a:0:{}
1. Introduction to Excel
  • Saving
  • and Closing Workbooks)";}
  • a:4:{i:0;s:17:"Overview of Excel";i:1;s:25:"Key Features and Benefits";i:2;s:30:"Excel Interface and Navigation";i:3;s:63:"Basic Excel Operations (Opening
2. Basic Formulas and Functions
  • AVERAGE
  • Absolute
  • COUNTA
  • IF)";}
  • MAX)";i:2;s:53:"Using Cell References (Relative
  • MIN
  • and Mixed)";i:3;s:36:"Common Functions (COUNT
  • a:4:{i:0;s:24:"Introduction to Formulas";i:1;s:52:"Basic Arithmetic Operations (SUM
3. Data Management and Analysis
  • a:4:{i:0;s:26:"Sorting and Filtering Data";i:1;s:38:"Using Tables and Structured References";i:2;s:42:"Data Validation and Conditional Formatting";i:3;s:43:"Introduction to PivotTables and PivotCharts";}
4. Advanced Formulas and Functions
  • CONCATENATE)";i:3;s:48:"Date and Time Functions (TODAY
  • DATE
  • HLOOKUP
  • INDEX
  • MATCH)";i:2;s:46:"Text Functions (LEFT
  • MID
  • NOT)";i:1;s:63:"Lookup and Reference Functions (VLOOKUP
  • NOW
  • OR
  • RIGHT
  • TIME)";i:4;s:33:"Array Formulas and Dynamic Arrays";}
  • a:5:{i:0;s:32:"Logical Functions (AND
5. Data Visualization
  • a:3:{i:0;s:31:"Creating and Customizing Charts";i:1;s:28:"Advanced Charting Techniques";i:2;s:37:"Best Practices for Data Visualization";}
6. Macros and Automation
  • a:3:{i:0;s:22:"Introduction to Macros";i:1;s:28:"Recording and Running Macros";i:2;s:28:"Automating Tasks with Macros";}
7. Advanced Data Analysis Tools
  • a:4:{i:0;s:29:"Using Solver for Optimization";i:1;s:21:"Data Analysis Toolpak";i:2;s:30:"Scenario Manager and Goal Seek";i:3;s:30:"Advanced PivotTable Techniques";}
8. Collaboration and Sharing
  • a:4:{i:0;s:47:"Sharing Workbooks and Collaborating with Others";i:1;s:33:"Protecting and Securing Workbooks";i:2;s:29:"Tracking Changes and Comments";i:3;s:29:"Tracking Changes and Comments";}
9. Excel Integration
  • Outlook)";i:1;s:28:"Importing and Exporting Data";i:2;s:41:"Using Power Query for Data Transformation";}
  • PowerPoint
  • a:3:{i:0;s:76:"Integrating Excel with Other Office Applications (Word
10. AI Integration with Excel
  • Analyze Data
  • Excel Labs)";i:2;s:39:"Using AI for Data Analysis and Insights";i:3;s:64:"Automating Tasks with AI (e.g.
  • Flash Fill
  • Smart Data Cleaning)";i:4;s:34:"Creating AI-Powered Visualizations";i:5;s:36:"Practical Applications and Use Cases";}
  • a:6:{i:0;s:36:"Overview of AI Capabilities in Excel";i:1;s:54:"Installing AI Add-ins (e.g.

Course Syllabus

  • Overview of Excel
  • Key Features and Benefits
  • Excel Interface and Navigation
  • Basic Excel Operations (Opening, Saving, and Closing Workbooks)

  • Introduction to Formulas
  • Basic Arithmetic Operations (SUM, AVERAGE, MIN, MAX)
  • Using Cell References (Relative, Absolute, and Mixed)
  • Common Functions (COUNT, COUNTA, IF)

  • Sorting and Filtering Data
  • Using Tables and Structured References
  • Data Validation and Conditional Formatting
  • Introduction to PivotTables and PivotCharts

  • Logical Functions (AND, OR, NOT)
  • Lookup and Reference Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
  • Text Functions (LEFT, RIGHT, MID, CONCATENATE)
  • Date and Time Functions (TODAY, NOW, DATE, TIME)
  • Array Formulas and Dynamic Arrays

  • Creating and Customizing Charts
  • Advanced Charting Techniques
  • Best Practices for Data Visualization

  • Introduction to Macros
  • Recording and Running Macros
  • Automating Tasks with Macros

  • Using Solver for Optimization
  • Data Analysis Toolpak
  • Scenario Manager and Goal Seek
  • Advanced PivotTable Techniques

  • Sharing Workbooks and Collaborating with Others
  • Protecting and Securing Workbooks
  • Tracking Changes and Comments
  • Tracking Changes and Comments

  • Integrating Excel with Other Office Applications (Word, PowerPoint, Outlook)
  • Importing and Exporting Data
  • Using Power Query for Data Transformation

  • Overview of AI Capabilities in Excel
  • Installing AI Add-ins (e.g., Analyze Data, Excel Labs)
  • Using AI for Data Analysis and Insights
  • Automating Tasks with AI (e.g., Flash Fill, Smart Data Cleaning)
  • Creating AI-Powered Visualizations
  • Practical Applications and Use Cases

Requirements

  • Good wifi
  • Laptop

Description

Excel Mastery Pro: Advanced Data Analytics Techniques, and AI Integration Course

This comprehensive Excel training course is designed to take you from a beginner to an advanced user. You'll start with an introduction to Excel, covering the interface, navigation, and basic operations. As you progress, you'll learn to use basic and advanced formulas and functions, manage and analyze data, and create compelling data visualizations. The course also covers automation with macros, advanced data analysis tools, and collaboration features. Additionally, you'll explore how to integrate Excel with other Office applications and leverage AI capabilities for enhanced productivity.

  • Transform from a beginner to an expert Excel user with our comprehensive training course.
  • Begin with an in-depth introduction to Excel, including mastering the interface, navigation, and fundamental operations
  • Advance your skills by learning basic and advanced formulas and functions, data management and analysis, and creating impactful data visualizations.
  • Explore automation through macros, advanced data analysis tools, and collaboration functionalities.
  • Discover how to seamlessly integrate Excel with other Office applications and harness AI capabilities to boost productivity.

Who this course is for:

  • Beginners who want to learn Excel from scratch.
  • Intermediate users looking to enhance their skills and learn advanced features.
  • Business professionals who need to manage and analyze data efficiently.
  • Students who require Excel for their coursework or research.
  • Data analysts seeking to improve their data visualization and analysis skills. and anyone interested in automating tasks and improving productivity with Excel.

Meet your instructors

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Shiva Krishnan

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Course Syllabus

Excel training
  • a:0:{}
1. Introduction to Excel
  • Saving
  • and Closing Workbooks)";}
  • a:4:{i:0;s:17:"Overview of Excel";i:1;s:25:"Key Features and Benefits";i:2;s:30:"Excel Interface and Navigation";i:3;s:63:"Basic Excel Operations (Opening
2. Basic Formulas and Functions
  • AVERAGE
  • Absolute
  • COUNTA
  • IF)";}
  • MAX)";i:2;s:53:"Using Cell References (Relative
  • MIN
  • and Mixed)";i:3;s:36:"Common Functions (COUNT
  • a:4:{i:0;s:24:"Introduction to Formulas";i:1;s:52:"Basic Arithmetic Operations (SUM
3. Data Management and Analysis
  • a:4:{i:0;s:26:"Sorting and Filtering Data";i:1;s:38:"Using Tables and Structured References";i:2;s:42:"Data Validation and Conditional Formatting";i:3;s:43:"Introduction to PivotTables and PivotCharts";}
4. Advanced Formulas and Functions
  • CONCATENATE)";i:3;s:48:"Date and Time Functions (TODAY
  • DATE
  • HLOOKUP
  • INDEX
  • MATCH)";i:2;s:46:"Text Functions (LEFT
  • MID
  • NOT)";i:1;s:63:"Lookup and Reference Functions (VLOOKUP
  • NOW
  • OR
  • RIGHT
  • TIME)";i:4;s:33:"Array Formulas and Dynamic Arrays";}
  • a:5:{i:0;s:32:"Logical Functions (AND
5. Data Visualization
  • a:3:{i:0;s:31:"Creating and Customizing Charts";i:1;s:28:"Advanced Charting Techniques";i:2;s:37:"Best Practices for Data Visualization";}
6. Macros and Automation
  • a:3:{i:0;s:22:"Introduction to Macros";i:1;s:28:"Recording and Running Macros";i:2;s:28:"Automating Tasks with Macros";}
7. Advanced Data Analysis Tools
  • a:4:{i:0;s:29:"Using Solver for Optimization";i:1;s:21:"Data Analysis Toolpak";i:2;s:30:"Scenario Manager and Goal Seek";i:3;s:30:"Advanced PivotTable Techniques";}
8. Collaboration and Sharing
  • a:4:{i:0;s:47:"Sharing Workbooks and Collaborating with Others";i:1;s:33:"Protecting and Securing Workbooks";i:2;s:29:"Tracking Changes and Comments";i:3;s:29:"Tracking Changes and Comments";}
9. Excel Integration
  • Outlook)";i:1;s:28:"Importing and Exporting Data";i:2;s:41:"Using Power Query for Data Transformation";}
  • PowerPoint
  • a:3:{i:0;s:76:"Integrating Excel with Other Office Applications (Word
10. AI Integration with Excel
  • Analyze Data
  • Excel Labs)";i:2;s:39:"Using AI for Data Analysis and Insights";i:3;s:64:"Automating Tasks with AI (e.g.
  • Flash Fill
  • Smart Data Cleaning)";i:4;s:34:"Creating AI-Powered Visualizations";i:5;s:36:"Practical Applications and Use Cases";}
  • a:6:{i:0;s:36:"Overview of AI Capabilities in Excel";i:1;s:54:"Installing AI Add-ins (e.g.

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