Advanced SQL Analytics with an Online Shop | CodeSignal Learn

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intermediate

Advanced SQL Analytics with an Online Shop

Data Science & Analytics

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4 courses

48 practices

7 hours

Take your SQL skills beyond the basics with hands-on analysis of online shop data. Build readable queries with CTEs, uncover revenue trends with window functions, rank customers and products, and compare orders over time with LEAD and LAG to turn transaction data into actionable insights.

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

Data Analysis for Insights

INTERMEDIATE

Exploratory Data Analysis

INTERMEDIATE

SQL and NoSQL Data Querying

Tools you'll use

SQL

Course 1

Structuring Queries with Common Table Expressions

4 lessons

12 practices

Learn to replace nested subqueries with named CTEs, compose multi-step query pipelines, stage order and customer revenue aggregations, and generate a recursive month spine. By the end, you can make complex online-shop analysis clearer and easier to extend.

Course 2

Window Functions Fundamentals

4 lessons

12 practices

Learn to calculate analytics without collapsing detail rows, partition results by business groups, track cumulative revenue over time, and compute three-month moving averages. By the end, you can combine CTEs with foundational window functions for online-shop reporting.

Course 3

SQL Ranking Functions: ROW_NUMBER, RANK, DENSE_RANK, and NTILE

4 lessons

12 practices

Learn to select one row per entity, compare ranking functions when values tie, find top-selling products within each category, and segment customers into spend quartiles. By the end, you can use window-based rankings to solve common online-shop reporting problems.

Course 4

Comparing Rows with LEAD and LAG

4 lessons

12 practices

Learn to compare each order with neighboring rows, identify long purchase gaps, calculate month-over-month gross order-value growth, and analyze order-value trends within customer cohorts. By the end, you can combine CTEs with LAG and LEAD for time-based shop analysis.

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