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
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