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Analyzing Business Data in SQL
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
- 4 hours
- 15 Videos
- 46 Exercises
- 2,797 Participants
- 3,700 XP
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Course Description
Businesses nowadays track data on everything, from operations to marketing to HR. Leveraging this data enables businesses to 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 the data of Delivr, a fictional food delivery startup; this data is modeled on real companies' datasets.
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1
Revenue, cost, and profit
FreeProfit is the first thing people ask about to asses a company's success. In this chapter, you'll learn how to calculate revenue and cost, then combine the two calculations using Common Table Expressions to figure out profit.
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ARPU, histograms, and percentiles
A KPI, being a single number, can't say much about how data is distributed. In this chapter, you'll learn about unit economics, histograms, bucketing, and percentiles, which you'll use to spot the variance in user behaviors.
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User-centric KPIs
Financial KPIs like profit are important, but they don't say much about 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.
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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 executives and managers.
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1
Revenue, cost, and profit
FreeProfit is the first thing people ask about to asses a company's success. In this chapter, you'll learn how to calculate revenue and cost, then combine the two calculations using Common Table Expressions to figure out profit.
-
User-centric KPIs
Financial KPIs like profit are important, but they don't say much about 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.
-
ARPU, histograms, and percentiles
A KPI, being a single number, can't say much about how data is distributed. In this chapter, you'll learn about unit economics, histograms, bucketing, and percentiles, which you'll use to spot the variance in user behaviors.
-
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 executives and managers.
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Lloyd's Banking Group
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Harvard Business School
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Decision Science Analytics @ USAA
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). Currently, he's a data scientist at Toters, a regional food delivery and logistics startup with presence in Baghdad, Beirut, and Riyadh. He loves using open-source technologies like Python, R, and SQL to analyze data, optimize KPIs, and solve problems.
See MoreCollaborators
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Mona Khalil
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Sara Billen