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Data-Driven Decisions; Excel Mastery for Business Impact

Data-Driven Decisions; Excel Mastery for Business Impact

$199.00
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Course access is prepared after purchase and delivered via email
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Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
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What does the Data-Driven Decisions course cover?

Data-Driven Decisions is covered here in 12 modules: Excel Fundamentals & Interface Mastery: Topic 4: Data Entry Techniques and Best Practices, Essential Excel Functions & Formulas: Topic 13: Logical Functions: IF, AND, OR, NOT, Data Manipulation & Cleaning: Topic 21: Find and Replace: Quickly Updating Data Sets and 9 more.

How do you approach Data-Driven Decisions step by step?

The work is sequenced in 12 stages. It starts with Excel Fundamentals & Interface Mastery: Topic 4: Data Entry Techniques and Best Practices, moves through Essential Excel Functions & Formulas: Topic 13: Logical Functions: IF, AND, OR, NOT and Data Manipulation & Cleaning: Topic 21: Find and Replace: Quickly Updating Data Sets, and ends at Best Practices & Advanced Tips: Topic 93:.

What is in Module 1 of the Data-Driven Decisions course?

Module 1 is Excel Fundamentals & Interface Mastery: Topic 4: Data Entry Techniques and Best Practices. It works through Topic 1: Introduction to Data-Driven Decision Making, Topic 2: Understanding the Excel Interface: Ribbon, Tabs, and Groups, Topic 3: Navigating Workbooks and Worksheets Efficiently and 5 more. It sets the vocabulary the remaining 11 modules build on.

What is evaluate the media & information services company giggster on topic 75?

The Data-Driven Decisions outline covers this across Topic 1: Introduction to Data-Driven Decision Making, Topic 2: Understanding the Excel Interface: Ribbon, Tabs, and Groups and Topic 3: Navigating Workbooks and Worksheets Efficiently, and 93 further topics. They sit inside a 12 module sequence, so the material arrives with the surrounding method rather than as a standalone tip.

How is the Data-Driven Decisions course delivered?

The Data-Driven Decisions course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Data-Driven Decisions course cost?

The Data-Driven Decisions course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Data-Driven Process Excellence, Elevate Your Impact, Excel Mastery for Ministry, Accelerate Your Impact.

More answers: what you get with every course, refund policy, all help answers.

Data-Driven Decisions: Excel Mastery for Business Impact - Curriculum

Data-Driven Decisions: Excel Mastery for Business Impact

Unlock the power of data and transform your decision-making abilities with our comprehensive Excel Mastery course. Learn to leverage Excel's full potential to analyze data, identify trends, and drive impactful business outcomes. Upon completion, you will receive a CERTIFICATE issued by The Art of Service, validating your expertise in data-driven decision-making.



Course Curriculum

Module 1. Excel Fundamentals & Interface Mastery: Topic 4: Data Entry Techniques and Best Practices

  • Topic 1: Introduction to Data-Driven Decision Making
  • Topic 2: Understanding the Excel Interface: Ribbon, Tabs, and Groups
  • Topic 3: Navigating Workbooks and Worksheets Efficiently
  • Topic 4: Data Entry Techniques and Best Practices
  • Topic 5: Formatting Cells: Numbers, Dates, Text, and Alignment
  • Topic 6: Working with Rows, Columns, and Cells: Insertion, Deletion, and Resizing
  • Topic 7: Exploring Excel Options and Customization
  • Topic 8: Saving, Opening, and Managing Excel Files

Module 2. Essential Excel Functions & Formulas: Topic 13: Logical Functions: IF, AND, OR, NOT

  • Topic 9: Introduction to Formulas and Functions
  • Topic 10: Basic Arithmetic Operators: Addition, Subtraction, Multiplication, and Division
  • Topic 11: Using SUM, AVERAGE, MIN, MAX, and COUNT Functions
  • Topic 12: Understanding and Applying Relative, Absolute, and Mixed Cell References
  • Topic 13: Logical Functions: IF, AND, OR, NOT
  • Topic 14: Text Functions: LEFT, RIGHT, MID, CONCATENATE, TEXT
  • Topic 15: Date and Time Functions: TODAY, NOW, DATE, YEAR, MONTH, DAY
  • Topic 16: Error Handling and Troubleshooting Formulas

Module 3. Data Manipulation & Cleaning: Topic 21: Find and Replace: Quickly Updating Data Sets

  • Topic 17: Data Validation: Ensuring Data Accuracy and Consistency
  • Topic 18: Sorting and Filtering Data: Single and Multiple Criteria
  • Topic 19: Removing Duplicates: Cleaning and Refining Data
  • Topic 20: Text to Columns: Separating Data into Multiple Columns
  • Topic 21: Find and Replace: Quickly Updating Data Sets
  • Topic 22: Using Flash Fill for Efficient Data Transformation
  • Topic 23: Data Consolidation: Combining Data from Multiple Sources
  • Topic 24: Working with Tables: Creating, Formatting, and Analyzing

Module 4. Data Analysis with Pivot Tables: Topic 28: Filtering and Sorting Pivot Table Data

  • Topic 25: Introduction to Pivot Tables: Understanding the Power of Summarization
  • Topic 26: Creating Pivot Tables: Selecting Data and Choosing Fields
  • Topic 27: Grouping Data in Pivot Tables: Dates, Numbers, and Text
  • Topic 28: Filtering and Sorting Pivot Table Data
  • Topic 29: Calculating Values in Pivot Tables: Sum, Average, Count, and More
  • Topic 30: Customizing Pivot Table Layout and Design
  • Topic 31: Slicers and Timelines: Interactive Filtering and Visualization
  • Topic 32: Calculated Fields and Items: Creating Custom Metrics

Module 5. Data Visualization with Charts & Graphs: Topic 37: Creating Scatter Plots and Bubble Charts

  • Topic 33: Introduction to Data Visualization Principles
  • Topic 34: Creating and Formatting Column Charts and Bar Charts
  • Topic 35: Creating and Formatting Line Charts and Area Charts
  • Topic 36: Creating and Formatting Pie Charts and Doughnut Charts
  • Topic 37: Creating Scatter Plots and Bubble Charts
  • Topic 38: Using Combo Charts for Complex Data Representation
  • Topic 39: Adding Chart Elements: Titles, Labels, Legends, and Gridlines
  • Topic 40: Creating Dynamic Charts with Named Ranges and Formulas

Module 6. Advanced Excel Functions & Formulas: Topic 45: Financial Functions: PV, FV, PMT, IPMT, PPMT

  • Topic 41: Lookup Functions: VLOOKUP, HLOOKUP, INDEX, MATCH
  • Topic 42: Working with Named Ranges: Creating and Using Named Ranges
  • Topic 43: Array Formulas: Understanding and Applying Array Formulas
  • Topic 44: Conditional Aggregation: SUMIF, AVERAGEIF, COUNTIF, SUMIFS, AVERAGEIFS, COUNTIFS
  • Topic 45: Financial Functions: PV, FV, PMT, IPMT, PPMT
  • Topic 46: Statistical Functions: STDEV, VAR, CORREL, FORECAST
  • Topic 47: Information Functions: ISBLANK, ISERROR, ISTEXT, ISNUMBER
  • Topic 48: Working with Error Values and Error Handling Techniques

Module 7. Power Query for Data Transformation (ETL): Topic 56: Loading Data from Power Query to Excel

  • Topic 49: Introduction to Power Query: Understanding Data Transformation
  • Topic 50: Importing Data from Various Sources: Excel, CSV, Text, Web, and Databases
  • Topic 51: Cleaning and Transforming Data with Power Query Editor
  • Topic 52: Filtering, Sorting, and Removing Columns in Power Query
  • Topic 53: Merging and Appending Data in Power Query
  • Topic 54: Unpivoting and Pivoting Data in Power Query
  • Topic 55: Adding Custom Columns and Calculating New Fields in Power Query
  • Topic 56: Loading Data from Power Query to Excel

Module 8. Data Analysis & Modeling: Topic 61: Building Sensitivity Analysis Models

  • Topic 57: What-If Analysis: Scenario Manager, Goal Seek, and Data Tables
  • Topic 58: Forecasting with Trendlines and Exponential Smoothing
  • Topic 59: Statistical Analysis Tools: Regression, ANOVA, and Correlation
  • Topic 60: Creating Basic Financial Models: Budgeting and Forecasting
  • Topic 61: Building Sensitivity Analysis Models
  • Topic 62: Using Solver for Optimization Problems
  • Topic 63: Introduction to Data Mining Techniques in Excel
  • Topic 64: Building Predictive Models with Excel

Module 9. Macros & VBA Automation (Introduction): Topic 72: Creating Simple UserForms

  • Topic 65: Introduction to Macros and VBA: Automating Repetitive Tasks
  • Topic 66: Recording Macros: Capturing Actions and Generating Code
  • Topic 67: Understanding VBA Code: Basic Syntax and Structure
  • Topic 68: Editing Macros: Modifying and Customizing Code
  • Topic 69: Assigning Macros to Buttons and Keyboard Shortcuts
  • Topic 70: Working with Variables and Data Types in VBA
  • Topic 71: Using Loops and Conditional Statements in VBA
  • Topic 72: Creating Simple UserForms

Module 10: Real-World Business Applications & Case Studies

  • Topic 73: Sales Data Analysis: Tracking Performance and Identifying Trends
  • Topic 74: Marketing Campaign Analysis: Measuring ROI and Optimizing Strategies
  • Topic 75: Financial Reporting and Analysis: Generating Reports and Insights
  • Topic 76: Project Management: Tracking Progress and Managing Resources
  • Topic 77: Human Resources Analysis: Analyzing Employee Data and Performance
  • Topic 78: Inventory Management: Optimizing Stock Levels and Reducing Costs
  • Topic 79: Customer Relationship Management (CRM) Analysis: Improving Customer Satisfaction
  • Topic 80: Building Interactive Dashboards for Business Intelligence

Module 11. Advanced Dashboarding & Power BI Integration: Topic 85: Importing Excel Data into Power BI

  • Topic 81: Creating Dynamic and Interactive Dashboards in Excel
  • Topic 82: Using Form Controls for Dashboard Interactivity
  • Topic 83: Connecting Excel to External Data Sources
  • Topic 84: Introduction to Power BI: Overview and Features
  • Topic 85: Importing Excel Data into Power BI
  • Topic 86: Creating Visualizations in Power BI
  • Topic 87: Building Interactive Dashboards in Power BI
  • Topic 88: Publishing and Sharing Power BI Dashboards

Module 12. Best Practices & Advanced Tips: Topic 93: Advanced Charting Techniques

  • Topic 89: Excel Best Practices for Data Management and Analysis
  • Topic 90: Optimizing Excel Performance for Large Datasets
  • Topic 91: Collaboration and Sharing Excel Workbooks
  • Topic 92: Protecting Excel Workbooks and Data
  • Topic 93: Advanced Charting Techniques
  • Topic 94: Customizing Excel Ribbons and Quick Access Toolbar
  • Topic 95: Exploring Add-ins for Enhanced Functionality
  • Topic 96: Staying Up-to-Date with Excel Updates and New Features
Upon successful completion of this course, you will receive a CERTIFICATE issued by The Art of Service.

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