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Microsoft Excel Course

Original price was: $997.00.Current price is: $294.00.

The Advanced Excel course is for experienced users aiming to dive deep into Excel’s capabilities for professional-level data manipulation, visualization, and automation. The course covers advanced functions, VBA programming, data modeling, and other powerful Excel features to enhance analytical and automation skills. Through real-world examples and hands-on projects, participants will develop expertise in optimizing workflows and creating complex data solutions.

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Description

The Advanced Excel course is for experienced users aiming to dive deep into Excel’s capabilities for professional-level data manipulation, visualization, and automation. The course covers advanced functions, VBA programming, data modeling, and other powerful Excel features to enhance analytical and automation skills. Through real-world examples and hands-on projects, participants will develop expertise in optimizing workflows and creating complex data solutions.


Course Objectives:

By the end of this course, participants will:

  1. Apply advanced Excel functions to conduct comprehensive data analysis.
  2. Use VBA and macros for efficient task automation.
  3. Develop interactive dashboards and enhanced visualizations.
  4. Master data modeling and work with Power Query and Power Pivot.
  5. Gain skills to create complex financial models and forecasts.

Course Structure & Modules:


Module 1: Advanced Formula and Function Techniques

  • Nested Functions and Array Formulas: Combining functions for complex calculations.
  • Advanced Lookup Functions: Mastering XLOOKUP, INDEX-MATCH, and INDIRECT.
  • Using Dynamic Array Functions: FILTER, SORT, UNIQUE, SEQUENCE, and more.
  • Matrix Calculations and Array Manipulation: Working with array formulas for complex data manipulation.

Module 2: Advanced Conditional and Logical Functions

  • Advanced IF Statements: Using IFS, SWITCH, and nested IFs for detailed conditions.
  • Logical Functions for Decision-Making: Using AND, OR, XOR, and IS functions.
  • Error Handling with Functions: IFERROR, ISERROR, and handling null values.
  • Scenario-Based Exercises: Applying complex conditions to real-world cases.

Module 3: Data Validation, Auditing, and Protection Techniques

  • Advanced Data Validation Rules: Creating custom validation with formulas.
  • Form Controls and Data Entry Automation: Using combo boxes, checkboxes, and buttons.
  • Data Auditing Tools: Tracing precedents and dependents, evaluating formulas.
  • Protecting Sensitive Data: Encrypting workbooks and advanced protection options.

Module 4: Pivot Tables and Advanced Data Analysis

  • Creating and Customizing Advanced Pivot Tables: Summarizing data with calculated fields.
  • Using Slicers and Timelines: Enhancing interactivity and filtering.
  • Advanced Pivot Table Techniques: Grouping data, performing calculations, and using GETPIVOTDATA.
  • Building Pivot Charts: Creating dynamic charts for pivot table insights.

Module 5: Power Query for Data Transformation

  • Introduction to Power Query: The purpose of data transformation.
  • Connecting and Loading Data from Multiple Sources: Importing and combining datasets.
  • Transforming and Cleaning Data: Splitting, merging, and filtering datasets.
  • Using Advanced Power Query Features: Parameters, custom columns, and M language basics.

Module 6: Power Pivot and Data Modeling

  • Introduction to Data Modeling: Creating relationships between tables.
  • Building Data Models with Power Pivot: Integrating multiple data sources.
  • Working with DAX Functions: Learning DAX basics for calculated columns and measures.
  • Advanced DAX Functions for Analysis: CALCULATE, ALL, RELATED, and time-intelligence functions.

Module 7: Advanced Charting and Data Visualization

  • Creating Advanced Chart Types: Waterfall, Gantt, radar, and funnel charts.
  • Dynamic and Interactive Dashboards: Building dashboards with slicers and form controls.
  • Using Sparklines and Conditional Formatting for Visualization: Making data trends more visible.
  • Embedding Charts in Dashboards: Integrating visuals for comprehensive reporting.

Module 8: Statistical and Financial Analysis in Excel

  • Using Statistical Functions for Analysis: STDEV, CORREL, NORM.DIST, and FORECAST.
  • Advanced Financial Functions: NPV, IRR, PMT, XNPV, and amortization calculations.
  • Scenario Analysis with Data Tables and Goal Seek: Exploring different outcomes.
  • Monte Carlo Simulations and Risk Analysis: Using random data for risk assessment.

Module 9: Automation with Macros and VBA (Visual Basic for Applications)

  • Recording and Running Macros: Automating repetitive tasks.
  • Editing and Customizing Macros: Understanding the VBA editor and modifying code.
  • Writing Basic VBA Code: Learning VBA syntax, loops, and conditional statements.
  • Building Custom Functions with VBA: Creating user-defined functions for specific needs.

Module 10: Advanced VBA Techniques and Automation Projects

  • Creating User Forms for Data Entry: Designing interactive forms.
  • Using VBA for Data Processing: Writing code to manage data transformations.
  • Error Handling in VBA: Debugging techniques and managing runtime errors.
  • Advanced Project: Building a Custom Data Processing Tool: Integrating VBA for a real-world application.

Module 11: Forecasting and Predictive Analytics

  • Introduction to Forecasting Methods: Trendlines, exponential smoothing, and moving averages.
  • Using Excel’s Forecast Sheet: Automating forecasts with built-in tools.
  • Building Predictive Models with Regression Analysis: Using LINEST and other tools.
  • Seasonal and Time-Series Forecasting: Handling seasonality and trends in data.

Module 12: Collaboration, Integration, and Sharing Workbooks

  • Advanced Workbook Sharing: Managing version control and collaboration.
  • Integrating Excel with Other Tools: Linking with Power BI, Access, and SharePoint.
  • Exporting Data and Sharing Visualizations: PDF, HTML, and PowerPoint integration.
  • Using OneDrive and Office 365 for Real-Time Collaboration: Collaborating in the cloud.

Module 13: Advanced Project-Based Exercises

  • Building a Financial Model for Budgeting and Forecasting: Applying advanced formulas and analysis.
  • Creating a Business Dashboard with Real-Time Data: Using Power Query and Pivot Tables.
  • Data Cleaning and Transformation Project: Practicing with Power Query and macros.
  • Building a Customer Analysis Model: Segmenting and analyzing customer data.

Module 14: Final Project and Certification

  • Capstone Project: Develop and present an advanced Excel project (e.g., financial model, dashboard, or automated tool).
  • Project Presentation and Feedback: Share project results and receive expert feedback.
  • Certification Exam: Demonstrate advanced Excel proficiency across topics.

Additional Course Resources:

  • Templates for advanced dashboards, financial models, and data analysis projects.
  • Access to advanced exercises, quizzes, and real-world case studies.
  • Downloadable data sets for practice and project completion.
  • Supportive community forum for Q&A and skill sharing.

Learning Outcomes:

By the end of this course, participants will:

  • Use Excel’s advanced functions for complex data analysis and decision-making.
  • Automate workflows with VBA and macros to increase productivity.
  • Create professional dashboards, models, and visualizations for business insights.
  • Complete a capstone project demonstrating advanced Excel skills.
  • Receive a certification in Advanced Excel, showcasing their expertise.

This course is perfect for analysts, finance professionals, data scientists, and other power users looking to maximize their capabilities in Excel for data-driven decision-making and productivity.

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