sql for product analytics
SQL for product development and marketing
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Reduce your dependence on data analysts and solve most typical SQL tasks
This is more than a course. It is a SQL simulator for solving a wide range of product-related tasks. You will get hands-on skills working with a marketplace database. You will gather, examine, clean up data, and calculate key metrics to use this information to tackle key product and marketing issues.
does the "SQL Simulator for Product Analytics" solve?
In product and marketing work we regularly face questions that require real data. Without the SQL skills, the only solution is to address analysts and wait for a long time for them to come back with the needed data.
As you go through the SQL Simulator for Product Analytics, you will learn the SQL syntax as well as obtain knowledge on how to solve typical product and marketing tasks. This will help you make important decisions way quicker and more effectively.
Who will benefit
from the simulator and how?
The simulator is designed for professionals who want to learn how to solve basic data-related tasks that require SQL skills. The practical tasks are highly relevant for product managers, project managers, marketers, and UX research specialists.
It is a great tool for data analysts overwhelmed with requests from their colleagues concerning simple tasks. With the help of this simulator, you can get your colleagues master SQL skills and have time for more exciting requests.
What you will learn
You will be able to:
- Make a basic dashboard with your product's key metrics (DAU/WAU/MAU, number of new users, sales, revenue).
- Gather users' action data (e.g., shopping cart abandonment) for further research.
- Calculate Retention and LTV, and segment these metrics according to key user characteristics.
- Calculate unit economics and ROI for paid user acquisition channels, identify profitable and unprofitable campaigns and channels.
- Investigate the spikes or anomalies you spot on the dashboard.
- Combine multiple datasets for a deeper analysis (e.g., data about users and their purchases).
- Make sense of a complex SQL query written by an analyst, and adapt it to another task you want to solve.
- Evaluate the impact of product changes on user behavior and key metrics once a new version of a product is out.
hours of training
of alumni apply gained skills
Training Program and Plot
You will help a team working on a marketplace product to answer important product and marketing questions which affect business performance.
01. Introduction to SQL and SELECT basics
Learn how databases are structured and write your first query.
02. Table structure and data storage logic
Study different ways to store data in tables, and learn how to work with them.
03. AND, OR, IN and NOT operators
Study users of interest, filter data from tables using AND, OR, IN, and NOT.
04. Filtering query results based on dates
Calculate the number of purchases made by target users over a period of time.
05. DISTINCT, LIMIT, ORDER BY
Continue studying your product’s users. Find out whether they mostly buy the same or different products, what is their most expensive purchase, and how often they buy.
06. Aggregate functions SUM(), AVG(), MIN(), MAX()
Use the SUM(), AVG(), MIN(), and MAX() functions to answer the previous questions more efficiently and to write more efficient queries.
07. Data cleaning
Learn to check the quality of the data and, if necessary, clean it before drawing conclusions.
08. GROUP BY basics
Learn to use one of the most popular SQL features to group table rows according to specific attributes. Process each group individually with aggregate functions.
09. Practice: calculating GMV dynamics day by day
Calculate the marketplace GMV dynamics day by day to approximate the growth trajectory of the product.
10. GROUP BY with multiple columns: Calculating DAU by day and country
You notice a slowdown in the growth of the product's active audience, then use GROUP By to verify whether the issue is specific to one country.
11. Date functions, data types
Learn to convert and compare dates with SQL. Use date functions to calculate the number of active users within a cohort, and the dynamics of user activity month by month after registration.
Learn to write queries that operate on the results of other queries. Learn to use subqueries to solve complicated tasks with SQL.
13. IF() Function, CASE/WHEN conditional operator
Learn to use flow control operators on query results to implement a desired logic. Use these operators to calculate Retention.
14. Calculating Retention
Calculate the Retention curve of our marketplace, one of the important depictions of the product’s value.
15. Practice: calculating unit economics with subqueries
Find out which promotion channels are and aren’t good for your product.
16. The basics of JOIN
Learn to use JOIN and its variants to query multiple tables that contain the information you need.
17. Practice: Calculating unit economics with JOIN
Use JOIN to calculate the unit economics of your paid acquisition channels. With the new calculation method, you will be able to easily segment the results based on several parameters.
18. Using JOIN on multiple tables and subqueries
Learn to combine multiple tables. Combine three tables to get a list of sellers with the most sales in the marketplace.
19. Practice: Calculating LTV with LEFT JOIN
Learn to use LEFT JOIN to show what the LTV curve looks like, find out where it stops growing, and determine the differences between various country segments and user engagement channels.
20. Window functions: Basic operating principles
Analyze the way window functions work and learn the situations and tasks they are useful for.
21. Window functions: syntax, window frames
Study the syntax of window functions and learn how to set window frames when calculating functions.
22. Practice: Calculating active audience with a sliding window
Use window functions to calculate the marketplace's active audience within a 7- and 28-day sliding window.
23. Practice: calculating GMV growth, top products, LTV
Continue applying window functions to answer various product and marketing questions.
24. Final task: assessing the impact of new functionality on the product
Apply all your SQL skills to answer an important question: How has the launch of new product categories affected the marketplace’s product metrics.
How the course
This is not a regular course, but a simulation of working in a company. You will be part of a young e-commerce marketplace team. As you go through the chapters, you will have to answer important questions about the product and its marketing.
In normal courses, you're given theory, which is difficult to put into practice. In the SQL Simulator, you'll write your own SQL queries to answer questions about the product and marketing.
The simulator gives you the opportunity to learn and make mistakes in a safe environment. The simulator format provides instant feedback to accelerate learning.
The simulator is designed in a way that helps you to put your knowledge to work after the first few chapters. It will take 3-4 weeks of active training to get through the entire course. After that, you will have a confident grasp of SQL.
Immediately after the purchase. You study online, at your own pace.
If you study for an hour a day, it takes about four weeks, maybe more, depending on your skills.
Most exercises are multiple-choice questions or query assignments and are checked automatically. Depending on your answers, you get relevant feedback and theory.
The SQL Simulator for Product Analytics course is designed for students with varying levels of SQL proficiency. The initial chapters are devoted to the basics. Topics gradually become more complex as you progress.
Yes. You'll be able to ask questions in a closed group and get help from other students, as well as the GoPractice team.
There are many people who know SQL but can’t apply these skills to solve real product and marketing problems. This is exactly what we'll teach you.
Still have questions?
Email us at firstname.lastname@example.org and we will respond as soon as possible.