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Analyzing Business Data in SQL

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

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4 Hours15 Videos46 Exercises24,998 Learners3700 XPSQL for Business Analysts Track

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Course Description

Businesses track data on everything, from operations to marketing to HR. Leveraging this data enables businesses to better understand themselves and their customers, leading to higher profits and better performance. In this course, you’ll learn about the key metrics that businesses use to measure performance. You'll write SQL queries to calculate these metrics and produce report-ready results. Throughout the course, you'll study data from a fictional food delivery startup, modeled on data from real companies.
  1. 1

    Revenue, Cost, and Profit

    Free

    Profit is one of the first things people use to assess a company's success. In this chapter, you'll learn how to calculate revenue and cost, and then combine the two calculations using Common Table Expressions to calculate profit.

    Play Chapter Now
    Revenue
    50 xp
    Revenue per customer
    100 xp
    Revenue per week
    100 xp
    Cost and Common Table Expressions (CTEs)
    50 xp
    Total cost
    50 xp
    Top meals by cost
    100 xp
    Using CTEs
    100 xp
    Profit
    50 xp
    Profit per eatery
    100 xp
    Profit per month
    100 xp
  2. 2

    User-Centric KPIs

    Financial KPIs like profit are important, but they don't speak to user activity and engagement. In this chapter, you'll learn how to calculate the registrations and active users KPIs, and use window functions to calculate the user growth and retention rates.

    Play Chapter Now
    Registrations and active users
    50 xp
    Registrations by month
    100 xp
    Monthly active users (MAU)
    100 xp
    Window functions
    50 xp
    Registrations running total
    100 xp
    MAU monitor (I)
    100 xp
    Growth
    50 xp
    MAU monitor (II)
    100 xp
    MAU monitor (III)
    100 xp
    Order growth rate
    100 xp
    Retention
    50 xp
    New, retained, and resurrected users
    50 xp
    Retention rate
    100 xp
  3. 3

    ARPU, Histograms, and Percentiles

    Since a KPI is a single number, it can't describe how data is distributed. In this chapter, you'll learn about unit economics, histograms, bucketing, and percentiles, which you can use to spot the variance in user behaviors.

    Play Chapter Now
    Unit economics
    50 xp
    Average revenue per user
    100 xp
    ARPU per week
    100 xp
    Average orders per user
    100 xp
    Histograms
    50 xp
    Histogram of revenue
    100 xp
    Histogram of orders
    100 xp
    Bucketing
    50 xp
    Bucketing users by revenue
    100 xp
    Bucketing users by orders
    100 xp
    Percentiles
    50 xp
    Revenue quartiles
    100 xp
    Interquartile range
    100 xp
  4. 4

    Generating an Executive Report

    Executives often use the KPIs you've calculated in the three previous chapters to guide business decisions. In this chapter, you'll package the KPIs you've created into a readable report you can present to managers and executives.

    Play Chapter Now
    Survey of useful functions
    50 xp
    Formatting dates
    100 xp
    Rank users by their count of orders
    100 xp
    Pivoting
    50 xp
    Pivoting user revenues by month
    100 xp
    Costs
    100 xp
    Producing executive reports
    50 xp
    Report readability
    50 xp
    Executive report
    100 xp
    Course recap
    50 xp

In the following tracks

SQL for Business Analysts

Collaborators

Mona Khalil
Sara Billen

Prerequisites

Data Manipulation in SQL
Michel Semaan Headshot

Michel Semaan

Data Scientist

Michel is a data scientist who's worked at leading Middle-Eastern startups like Bookwitty (e-commerce) and Anghami (music streaming). He loves using open-source technologies like Python, R, and SQL to analyze data, optimize KPIs, and solve problems.
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