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Excel Mastery for Data-Driven Decisions

Excel Mastery for Data-Driven Decisions

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Excel Mastery for Data-Driven Decisions: Course Curriculum

Excel Mastery for Data-Driven Decisions

Transform raw data into actionable insights with our comprehensive Excel Mastery program. This course is meticulously designed to empower you with the skills and knowledge to leverage Excel for data analysis, visualization, and informed decision-making. Receive a Certificate of Completion issued by The Art of Service upon successful completion of the course!

What makes this course special?

  • Interactive and Engaging: Learn through hands-on exercises, real-world case studies, and interactive quizzes.
  • Comprehensive: Covers a wide range of Excel functionalities, from basic formulas to advanced data modeling.
  • Personalized: Tailor your learning experience through optional exercises and focus on areas relevant to your goals.
  • Up-to-date: Content is continuously updated to reflect the latest Excel features and best practices.
  • Practical: Emphasis on applying Excel skills to solve real-world business problems.
  • Real-world applications: Gain practical experience through industry-specific case studies and projects.
  • High-quality content: Delivered through clear, concise, and engaging video lectures and downloadable resources.
  • Expert instructors: Learn from experienced data analysts and Excel professionals.
  • Certification: Receive a prestigious certificate from The Art of Service upon successful completion.
  • Flexible learning: Study at your own pace, anytime, anywhere.
  • User-friendly: Easy-to-navigate online platform with intuitive interface.
  • Mobile-accessible: Access the course on any device, including smartphones and tablets.
  • Community-driven: Connect with fellow learners, share insights, and get support.
  • Actionable insights: Develop the ability to extract meaningful information from data.
  • Hands-on projects: Reinforce your learning through practical projects and case studies.
  • Bite-sized lessons: Learn in manageable chunks with short, focused video tutorials.
  • Lifetime access: Access the course materials and updates forever.
  • Gamification: Earn points and badges as you progress through the course.
  • Progress tracking: Monitor your progress and identify areas for improvement.


Course Curriculum

Module 1: Excel Fundamentals - Building a Solid Foundation

  • Topic 1: Introduction to Excel Interface: Ribbons, Tabs, and Quick Access Toolbar
  • Topic 2: Navigating Worksheets and Workbooks: Managing Multiple Sheets
  • Topic 3: Data Entry and Formatting: Best Practices for Data Input
  • Topic 4: Basic Formulas and Functions: SUM, AVERAGE, COUNT, MIN, MAX
  • Topic 5: Cell Referencing: Relative, Absolute, and Mixed References Explained
  • Topic 6: Working with Text Functions: LEFT, RIGHT, MID, CONCATENATE
  • Topic 7: Number Formatting: Currency, Percentage, Date, and Time
  • Topic 8: Introduction to Tables: Creating and Formatting Tables

Module 2: Intermediate Formulas and Functions - Unleashing Excel Power

  • Topic 9: Logical Functions: IF, AND, OR, NOT
  • Topic 10: Lookup Functions: VLOOKUP, HLOOKUP, INDEX, MATCH
  • Topic 11: Date and Time Functions: TODAY, NOW, YEAR, MONTH, DAY, DATE
  • Topic 12: Statistical Functions: STDEV, VAR, MEDIAN, MODE
  • Topic 13: Working with Named Ranges: Creating and Using Named Ranges for Clarity
  • Topic 14: Conditional Formatting: Highlighting Data Based on Rules
  • Topic 15: Data Validation: Ensuring Data Integrity
  • Topic 16: Introduction to PivotTables: Summarizing and Analyzing Data

Module 3: Advanced Data Analysis - Transforming Data into Insights

  • Topic 17: Advanced Conditional Formatting Techniques: Using Formulas in Conditional Formatting
  • Topic 18: Advanced Lookup Functions: Using INDEX and MATCH for Dynamic Lookups
  • Topic 19: Array Formulas: Performing Calculations on Multiple Values
  • Topic 20: Working with Dates and Times: Advanced Date and Time Calculations
  • Topic 21: Text Manipulation: Advanced Text Functions and Regular Expressions (brief overview)
  • Topic 22: Using the SUMIFS, AVERAGEIFS, COUNTIFS Functions: Conditional Aggregation
  • Topic 23: Creating Dynamic Charts and Graphs: Visualizing Data Trends
  • Topic 24: What-If Analysis: Scenario Manager, Goal Seek, and Data Tables

Module 4: Mastering PivotTables and PivotCharts - Interactive Data Exploration

  • Topic 25: Building PivotTables: Designing Effective PivotTable Layouts
  • Topic 26: Grouping and Filtering Data in PivotTables: Summarizing Data Effectively
  • Topic 27: Calculated Fields and Items in PivotTables: Creating Custom Calculations
  • Topic 28: Slicers and Timelines: Interactive Filtering and Exploration
  • Topic 29: Creating PivotCharts: Visualizing PivotTable Data
  • Topic 30: Advanced PivotTable Options: Customizing PivotTable Settings
  • Topic 31: Power Pivot Introduction: Handling Large Datasets
  • Topic 32: Getting Data from External Sources: Importing Data into PivotTables

Module 5: Data Visualization - Communicating Insights Effectively

  • Topic 33: Charting Best Practices: Choosing the Right Chart Type
  • Topic 34: Creating Basic Charts: Column, Bar, Line, Pie, and Scatter Charts
  • Topic 35: Formatting Charts: Customizing Chart Appearance
  • Topic 36: Adding Data Labels and Trendlines: Enhancing Chart Clarity
  • Topic 37: Creating Combo Charts: Combining Different Chart Types
  • Topic 38: Advanced Charting Techniques: Waterfall Charts, Gauge Charts, and Heatmaps (introduction)
  • Topic 39: Sparklines: Visualizing Data Trends in Cells
  • Topic 40: Creating Interactive Dashboards: Combining Charts and Controls

Module 6: Power Query - Data Transformation and Cleansing

  • Topic 41: Introduction to Power Query: Overview of Power Query Editor
  • Topic 42: Importing Data into Power Query: Connecting to Different Data Sources
  • Topic 43: Data Cleansing: Removing Errors and Inconsistencies
  • Topic 44: Data Transformation: Renaming Columns, Changing Data Types, and Filtering Rows
  • Topic 45: Data Shaping: Pivoting and Unpivoting Data
  • Topic 46: Appending and Merging Queries: Combining Data from Multiple Sources
  • Topic 47: Creating Custom Columns: Adding New Columns with Formulas
  • Topic 48: Loading Data into Excel: Exporting Transformed Data

Module 7: Power Pivot - Advanced Data Modeling and Analysis

  • Topic 49: Introduction to Power Pivot: Enabling and Using Power Pivot
  • Topic 50: Importing Data into Power Pivot: Connecting to Large Datasets
  • Topic 51: Creating Relationships between Tables: Building a Data Model
  • Topic 52: DAX Fundamentals: Introduction to DAX Formulas
  • Topic 53: Calculated Columns in Power Pivot: Creating New Columns with DAX
  • Topic 54: Measures in Power Pivot: Creating Aggregations with DAX
  • Topic 55: Time Intelligence Functions in DAX: Analyzing Data over Time
  • Topic 56: Creating KPIs in Power Pivot: Tracking Key Performance Indicators

Module 8: VBA Macros - Automating Tasks and Extending Excel Functionality

  • Topic 57: Introduction to VBA: Understanding the VBA Editor
  • Topic 58: Recording Macros: Automating Simple Tasks
  • Topic 59: Editing VBA Code: Customizing Recorded Macros
  • Topic 60: Working with Variables and Data Types: Understanding VBA Syntax
  • Topic 61: Using Loops and Conditional Statements: Controlling VBA Flow
  • Topic 62: Working with Worksheets and Cells: Manipulating Data with VBA
  • Topic 63: Creating Custom Functions: Extending Excel Functionality
  • Topic 64: Handling Errors in VBA: Implementing Error Handling

Module 9: Excel for Financial Analysis - Applying Excel in Finance

  • Topic 65: Financial Functions: NPV, IRR, PV, FV, PMT
  • Topic 66: Building Financial Models: Creating Projections and Scenarios
  • Topic 67: Ratio Analysis: Analyzing Financial Performance
  • Topic 68: Break-Even Analysis: Determining Profitability
  • Topic 69: Capital Budgeting: Evaluating Investment Opportunities
  • Topic 70: Forecasting: Predicting Future Financial Results
  • Topic 71: Sensitivity Analysis: Assessing the Impact of Changes in Assumptions
  • Topic 72: Using Excel for Stock Analysis: Analyzing Stock Performance (Basic Overview)

Module 10: Advanced Excel Techniques and Tips - Mastering Excel Efficiency

  • Topic 73: Keyboard Shortcuts: Increasing Productivity
  • Topic 74: Protecting Worksheets and Workbooks: Securing Data
  • Topic 75: Working with Large Datasets: Optimizing Performance
  • Topic 76: Using Excel Online: Collaborating with Others
  • Topic 77: Troubleshooting Common Excel Problems: Resolving Errors
  • Topic 78: Integrating Excel with Other Applications: Connecting to Other Software
  • Topic 79: Best Practices for Excel Development: Creating Efficient and Maintainable Spreadsheets
  • Topic 80: Advanced Charting: Geographic Maps, Treemaps, and Sunburst Charts.

Module 11: Project: Data-Driven Decision-Making in Action

  • Topic 81: Case Study Introduction: Real-World Business Scenario
  • Topic 82: Data Collection and Preparation: Gathering and Cleaning Data
  • Topic 83: Data Analysis and Visualization: Extracting Insights from Data
  • Topic 84: Developing Recommendations: Providing Actionable Insights
  • Topic 85: Presenting Findings: Communicating Data Effectively

Module 12: Course Conclusion & Certification

  • Topic 86: Review of Key Concepts: Reinforcing Learning
  • Topic 87: Resources and Further Learning: Expanding Your Knowledge
  • Topic 88: Course Assessment: Testing Your Skills
  • Topic 89: Feedback and Evaluation: Improving the Course
  • Topic 90: Claim your Certificate of Completion: Congratulations on completing the course!
Receive your Certificate of Completion from The Art of Service!

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