SQL for Data Analytics

Learn SQL for Data Analytics

Learn SQL step by step through practical lessons covering data retrieval, filtering, aggregation, joins, data cleaning, subqueries, CTEs, window functions, and real-world analytics.

20 LessonsBeginner → AdvancedData Analytics Focus

SQL Course Lessons

Follow the lessons in order and build your SQL skills progressively.

1

SQL Basics

Learn SQL fundamentals, databases, tables, and basic queries.

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2

Databases, Tables and Keys

Understand tables, primary keys, foreign keys, and database structure.

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3

SELECT, DISTINCT and Aliases

Retrieve, organize, and rename data using core SQL commands.

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4

Filtering Data with WHERE

Filter records using WHERE conditions and practical examples.

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5

Sorting and Limiting Data

Sort query results and control the number of returned records.

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6

SQL Operators and Conditions

Work with comparison, logical, and conditional operators.

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7

Aggregate Functions

Use COUNT, SUM, AVG, MIN, and MAX for data analysis.

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8

GROUP BY and HAVING

Group data and filter aggregated results for analysis.

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9

CASE WHEN & Conditional Analysis

Create conditional logic and analytical categories with CASE.

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10

Data Cleaning with SQL

Prepare and clean datasets using practical SQL techniques.

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11

Date and Time Analysis

Analyze dates, timestamps, periods, and time-based data.

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12

String Functions

Clean and transform text data using SQL string functions.

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13

JOINs Fundamentals

Combine related data from multiple tables using JOINs.

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14

Advanced JOINs

Work with more advanced table relationships and JOIN techniques.

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15

Multiple JOINs and Data Modeling

Combine multiple tables and understand analytical data models.

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16

Subqueries and CTEs

Build reusable and layered SQL analysis with subqueries and CTEs.

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17

Window Functions Basics

Learn the fundamentals of analytical window functions.

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18

Advanced Window Functions

Use ranking, running totals, comparisons, and advanced analysis.

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19

Advanced Analytics with SQL

Apply advanced SQL techniques to solve analytical problems.

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20

Real-World SQL Data Analytics Project

Apply your SQL skills to a practical end-to-end analytics project.

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Learn SQL for Data Analytics

SQL is one of the most important skills for working with structured data. This interactive SQL course takes you from fundamental SQL queries to advanced analytical techniques.

You will work with SELECT queries, filtering, sorting, aggregate functions, GROUP BY, HAVING, CASE statements, data cleaning, JOINs, subqueries, CTEs, and window functions.

The final lessons focus on applying SQL to real-world data analytics problems so that you can move beyond memorizing syntax and start solving practical data questions.

Ready to start learning SQL?

Start with SQL Basics and progress through all 20 lessons.

Start SQL Course →