Turn spreadsheets into a powerful decision-making tool. This course covers how to interpret data, calculate essential business metrics, and visualize trends that reveal performance, opportunities, and strategic direction.
Overview
Syllabus
- Course Introduction
- Discover what data is, where it shows up in everyday life, and why understanding it can help you make smarter decisions across any industry.
- What Is Data
- Interpret tabular data by identifying what’s being measured, understanding how it’s organized, and recognizing the role of metadata in adding context.
- Data Types
- Distinguish between different data types—like numerical vs. categorical—and apply the right reasoning based on how the data is structured and measured.
- Data Summarization
- Summarize datasets using frequencies, measures of center and spread, and descriptive statistics like five-number summaries and tables.
- Data Relationships
- Explore how values relate using ratios, proportions, and correlations to compare parts and measure connections between variables.
- From Data to Business Metrics
- Recap what you've learned about describing data, then turn to the numbers businesses actually track—and the goals behind them.
- Key Performance Indicators (KPIs)
- Discover how KPIs track business goals and support strategic decisions through clear, measurable indicators across different departments.
- Growth Metrics
- Explore common growth metrics like revenue growth rate, market share, and active users—and learn how to calculate, interpret, and apply them to track business expansion.
- Efficiency Metrics
- Explore how time, cost, and resource-based metrics help evaluate and improve a company’s operational efficiency.
- Profitability Metrics
- Understand how gross margin, net earnings, EBITDA, and CLV reveal how well a business turns revenue into profit.
- Customer Satisfaction Metrics
- Evaluate customer happiness and loyalty using metrics like CSAT, churn rate, and repeat purchase rate.
- Innovation Metrics
- Track how a business develops and adopts new ideas using metrics like product output, adoption rates, and R&D investment.
- Financial Statements
- Learn how to read and interpret the income statement, cash flow statement, and balance sheet to assess a company’s profitability, liquidity, and overall financial health.
- Metrics, Meet the Spreadsheet
- Wrap up your understanding of business metrics with a recap of KPI categories, goal types, and the financial statements that help companies track performance across the board.
- Spreadsheet Navigation
- Get comfortable navigating spreadsheet interfaces, using menus, toolbars, and shortcuts to organize data and perform key operations efficiently.
- Locating and Identifying Data in Spreadsheets
- Master the use of cell references in spreadsheets, including relative vs. absolute references and named ranges, to write clearer formulas and manage data across sheets.
- Spreadsheet Operations
- Perform essential spreadsheet operations like sorting, filtering, copying, and deleting to keep your data clean, organized, and ready for analysis or presentation.
- From Cells to Analysis
- Recap what you can now do with cells and references, then start putting them to work—cleaning messy data and building the formulas that answer real questions
- Math and Text in Spreadsheets
- Build and troubleshoot formulas that calculate values, manipulate text, and combine cell references to clean and analyze spreadsheet data.
- Logic and Aggregation in Spreadsheets
- Apply logic and condition-based calculations using functions like IF, AND, and COUNTIFS to filter, aggregate, and clean spreadsheet data based on custom rules.
- Dates, Validation, and Worksheet Operations in Spreadsheets
- Work with dates and clean tabular data using spreadsheet tools for extraction, validation, deduplication, and text splitting to prepare datasets for analysis.
- Reference and Summarization in Spreadsheets
- Retrieve reference data and summarize large datasets using lookup functions and pivot tables for efficient spreadsheet analysis.
- Making the Numbers Visible
- Wrap up your journey through spreadsheet data analysis by reviewing key techniques for cleaning, transforming, and querying data—all in service of answering real-world questions.
- Introduction to Pie Charts
- Understand when pie charts work best for showing part-to-whole comparisons and recognize common pitfalls that make them less effective.
- Pie Charts in Spreadsheets
- Create and format pie charts in spreadsheets to highlight how categories contribute to a whole, adjusting labels, formatting, and layout for clear and accurate presentation.
- Introduction to Bar and Column Charts
- Interpret and choose between bar and column charts to compare categorical data, understanding when to use grouped or stacked formats to highlight relationships and category differences.
- Bar and Column Charts in Spreadsheets
- Create and customize bar and column charts in spreadsheets to compare categories, format axes and labels for clarity, and display grouped or stacked layouts for multi-dimensional data.
- Introduction to Line and Area Charts
- Understand how line and area charts reveal trends over time, compare categories, and represent parts of a whole, while recognizing when these chart types are appropriate or potentially misleading.
- Line and Area Charts in Spreadsheets
- Create and customize line and area charts in spreadsheets to visualize trends, compare series, and highlight data patterns with clear formatting and multiple data series.
- Introduction to Scatter Plots
- Interpret scatter plots to explore relationships between two numerical variables, assess correlation strength and direction, and spot clusters, trends, or outliers.
- Scatter Plots in Spreadsheets
- Create and customize scatter plots in spreadsheets to reveal patterns, spot outliers, and explore potential correlations between two numerical variables.
- Introduction to Histograms
- Learn how values are distributed across ranges, estimate variability, and spot outliers using histograms to interpret the shape and spread of numerical data.
- Histograms in Spreadsheets
- Create and customize histogram charts in spreadsheets to visualize how numerical data is distributed, spot frequency patterns, and identify variability or outliers.
- Choosing Appropriate Spreadsheet Visualizations
- Choose the right chart type for your data and refine its design to clearly communicate trends, comparisons, and distributions to your audience.
- Course Review
- Look back at everything you've learned—from describing raw data to building metrics, analyzing them in spreadsheets, and communicating what you found—and get oriented to the project ahead.
- Analyze Profits for E-commerce Company
- Analyze real ecommerce financial data, build key business metrics in spreadsheets, and create a presentation to showcase solutions for increasing company profits.
Taught by
Dana Sheahan - color, Josh Bernhard_color and Ruchi Bhanot_color