Data Analytics SQL

SQL for Data Analysts

Query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows.

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Quick Course Facts
20
Self-paced, Online, Lessons
20
Videos and/or Narrated Presentations
7.1
Approximate Hours of Course Media
About the SQL for Data Analysts Course

SQL for Data Analysts is a practical online course that teaches you how to use SQL for real-world Data Analytics work. You will learn how to query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows that support reports, dashboards, and business decisions.

Build Data Analytics Skills With Practical SQL Workflows

  • Learn the SQL foundations analysts use to explore relational databases, tables, keys, and business data.
  • Write clear SELECT queries, filter results, sort outputs, create calculated columns, and handle text, numbers, and null values.
  • Build reliable metrics with aggregate functions, GROUP BY logic, CASE expressions, joins, set operations, subqueries, and common table expressions.
  • Apply professional SQL for Data Analysts through debugging, validation, dashboard preparation, and an end-to-end business analysis capstone.

This course shows you how to query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows.

In this SQL for Data Analysts course, you will start with the foundations of how analysts use SQL in Data Analytics projects. You will learn how relational databases are structured, how tables connect through keys, and how to write your first SELECT statements to retrieve the data you need.

As the course progresses, you will build the core querying skills required for everyday analysis. You will practice filtering rows with WHERE logic, sorting and aliasing results, creating calculated columns, and working accurately with text, numbers, and nulls so your outputs are easier to trust and explain.

You will then move into aggregation, metrics, and combining datasets. Lessons cover aggregate functions, grouped results, conditional CASE expressions, table joins, choosing the right join for the question, and comparing datasets with set operations. These skills help you turn raw records into meaningful summaries for Data Analytics reporting.

The course also covers analytical SQL patterns used in professional environments, including subqueries, common table expressions, date and time analysis, window functions, rankings, running totals, deduplication, cohorts, and funnel queries. You will learn how to structure your SQL so it is readable, reusable, and aligned with real business questions.

By the end of the course, you will be able to prepare data for reports and dashboards, debug and validate query results, and complete an end-to-end business analysis query. You will leave with stronger SQL for Data Analysts skills and the confidence to approach Data Analytics tasks with a practical, structured workflow.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations

2 lessons

Lesson 1: How Analysts Use SQL

18 min Preview
This lesson introduces how data analysts use SQL in real work: asking business questions, finding the right tables, shaping raw data, checking quality, and producing results that support decisions. Ra…

Lesson 2: Relational Databases, Tables, and Keys

20 min
This lesson introduces the mental model behind relational databases: data is stored in tables, tables describe real-world entities or events, and relationships connect those tables into an analyzable …

Core Querying

4 lessons

Lesson 3: Writing Your First SELECT Queries

18 min
In this lesson, learners write their first practical SELECT queries for data analysis. They learn how to retrieve columns from a table, return all columns when appropriate, use aliases for readable ou…

Lesson 4: Filtering Rows with WHERE Logic

21 min
In this lesson, Professor Victor Zane teaches how analysts use the WHERE clause to narrow query results to the rows that matter. You will practice comparison operators, text filters, date filters, ran…

Lesson 5: Sorting, Aliasing, and Calculated Columns

18 min
In this lesson, learners move beyond selecting columns and filtering rows into shaping result sets for analysis. They learn how to sort rows with ORDER BY , make output easier to read with aliases, an…

Lesson 6: Working with Text, Numbers, and Nulls

22 min
In this lesson, Professor Victor Zane shows how analysts work with the everyday messiness of real columns: inconsistent text, numeric calculations, rounded metrics, missing values, and nullable logic.…

Aggregation and Metrics

3 lessons

Lesson 7: Summarizing Data with Aggregate Functions

20 min
In this lesson, students learn how aggregate functions turn many rows into usable metrics. The focus is on practical SQL patterns for analysts: counting records, summing business values, calculating a…

Lesson 8: Grouping Results and Building Metrics

23 min
In this lesson, Professor Victor Zane explains how analysts use GROUP BY to turn row-level data into business metrics. You will learn how SQL forms groups, how aggregate functions behave, and how to c…

Lesson 9: Conditional Logic with CASE Expressions

21 min
This lesson teaches how analysts use SQL CASE expressions to turn raw values into meaningful categories, flags, and metric inputs. Students will learn searched and simple CASE syntax, how SQL evaluate…

Combining Data

3 lessons

Lesson 10: Joining Tables with Confidence

24 min
In this lesson, students learn how to join tables deliberately instead of guessing their way through combined datasets. The focus is on choosing the right join type, writing reliable ON conditions, ch…

Lesson 11: Choosing the Right Join for the Question

22 min
In this lesson, students learn how to choose a join type based on the business question, not by habit. The focus is on deciding whether the analysis should keep only matching records, preserve all rec…

Lesson 12: Set Operations and Comparing Datasets

19 min
This lesson teaches how data analysts use SQL set operations to combine and compare compatible result sets. You will learn when to use UNION , UNION ALL , INTERSECT , and EXCEPT , how column alignment…

Query Structure

2 lessons

Lesson 13: Subqueries for Analytical Steps

21 min
Subqueries let analysts break a question into smaller query steps without leaving SQL. In this lesson, learners practice using subqueries in FROM , WHERE , and SELECT to filter against calculated resu…

Lesson 14: Common Table Expressions for Readable Analysis

22 min
This lesson shows how Common Table Expressions, or CTEs, make analytical SQL easier to read, test, and maintain. You will learn how to use WITH clauses to break a complex query into named steps instea…

Analytical Patterns

3 lessons

Lesson 15: Date and Time Analysis in SQL

23 min
This lesson teaches practical date and time analysis patterns used by data analysts: filtering by date ranges, extracting calendar parts, truncating timestamps to reporting grains, calculating elapsed…

Lesson 16: Window Functions for Rankings and Running Totals

25 min
Window functions let analysts calculate rankings, running totals, cumulative percentages, and within-group comparisons without collapsing rows the way GROUP BY does. In this lesson, Professor Victor Z…

Lesson 17: Deduplication, Cohorts, and Funnel Queries

24 min
In this lesson, students learn three high-value analytical SQL patterns: deduplicating messy records, building cohort tables, and measuring funnel progression. The focus is on practical query structur…

Professional SQL Practice

3 lessons

Lesson 18: Debugging and Validating Query Results

20 min
In this lesson, Professor Victor Zane teaches a practical workflow for finding mistakes in SQL queries and proving that the results are trustworthy. Learners move beyond simply running a query and lea…

Lesson 19: Preparing Data for Reports and Dashboards

21 min
In this lesson, Professor Victor Zane shows how analysts prepare SQL query outputs for reports and dashboards. The focus is not on building the dashboard itself, but on producing clean, stable, well-l…

Lesson 20: Capstone: End-to-End Business Analysis Query

25 min
In this capstone lesson, learners combine the core SQL skills from the course into one end-to-end business analysis workflow. The focus is not on memorizing syntax, but on turning a realistic business…
About Your Instructor
Professor Victor Zane

Professor Victor Zane

Professor Victor Zane guides this AI-built Virversity course with a clear, practical teaching style.