Analyzing Business Data in SQL
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
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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
Revenue, cost, and profit
FreeProfit 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. - 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. - 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. - 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.
In the following tracks
SQL for Business Analysts
Sara Billen
Mona KhalilPrerequisites
Intermediate SQL
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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Lloyds Banking Group
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Harvard Business School
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Decision Science Analytics, USAA
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