Data Analysis Essentials Using Excel Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This hands-on course equips beginners with essential Excel data analysis skills, guiding you from raw data to strategic insights. You'll master Power Query, PivotTables, advanced formulas, dashboards, and automation techniques through real-world examples. With approximately 6 hours of on-demand content, the course builds practical proficiency step-by-step, culminating in a comprehensive case study. Designed for analysts and managers, this course ensures you can clean, analyze, and visualize data effectively—immediately applicable across finance, marketing, and operations roles.
Module 1: Data Import & Preparation
Estimated time: 0.75 hours
- Connecting to CSV, TXT, and web data sources via Power Query
- Cleaning and shaping data: remove errors and inconsistencies
- Splitting and restructuring columns for analysis
- Pivoting and unpivoting data in Power Query
Module 2: PivotTables & PivotCharts Mastery
Estimated time: 1 hour
- Creating and customizing PivotTables
- Grouping data and using calculated fields
- Configuring value settings and summaries
- Visualizing insights with PivotCharts, slicers, and timelines
Module 3: Advanced Formulas & Lookup Techniques
Estimated time: 1 hour
- Using INDEX/MATCH for flexible lookups
- Applying XLOOKUP for modern, dynamic searches
- Working with dynamic array functions: SORT, FILTER, SEQUENCE, UNIQUE
- Building complex analyses with array formulas
Module 4: Dashboard Design & Visualization
Estimated time: 1 hour
- Building interactive dashboards with form controls (dropdowns, checkboxes)
- Applying conditional formatting for visual insight
- Using sparklines for compact trend visualization
Module 5: Statistical & Trend Analysis
Estimated time: 0.75 hours
- Analyzing trends with trendlines and moving averages
- Measuring relationships using correlation analysis
- Using Data Analysis Toolpak for regression, histograms, and descriptive statistics
Module 6: Automation with Macros & VBA
Estimated time: 0.75 hours
- Recording macros to automate repetitive tasks
- Editing VBA code snippets for customization
- Implementing basic error handling in macros
Module 7: Scenario & What-If Analysis
Estimated time: 0.5 hours
- Exploring outcomes with Goal Seek and Data Tables
- Using Scenario Manager for multi-variable analysis
- Building interactive What-If dashboards
Module 8: Best Practices & Real-World Case Study
Estimated time: 0.75 hours
- Structuring workbooks: input, calculations, outputs, and documentation
- Applying best practices for clarity and scalability
- Capstone: end-to-end analysis of sales data to generate actionable insights
Prerequisites
- Basic familiarity with Excel interface and navigation
- Understanding of core spreadsheet concepts (cells, rows, columns)
- Ability to write simple formulas (e.g., SUM, AVERAGE)
What You'll Be Able to Do After
- Import and clean raw data using Power Query efficiently
- Summarize large datasets with PivotTables and PivotCharts
- Write advanced formulas like INDEX/MATCH and dynamic array functions
- Create interactive dashboards with form controls and conditional formatting
- Perform statistical and trend analysis to support data-driven decisions