SQL & Databases

SQL & Databases Courses

Master SQL and databases: from basic queries to advanced techniques, schema design, and Python integration — become proficient in working with data!

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A/B Test Analysis in SQLAI Lead ScoringAI Outreach AutomationAI Proposal DraftingAI Sales Objection HandlingAI Sales Pipeline MappingAI-Powered Prospect ResearchAND/OR/NOT-operatorerAdvanced Join TechniquesAdvanced SQL QueryingAdvanced SQL ReportingAggregations and GroupingAttribution ModelingBusiness Logic with CASE WHENCASE WHEN SyntaxCRUD-operationerCampaign Performance QueryingCharacter Data TypesCohort Analysis with SQLCorrelated SubqueriesData Analysis with JoinsData Analysis with SQLData Categorization in SQLData Filtering and SortingData Modeling for BIData Reconciliation in SQLData Type Selection Best PracticesDatabase NormalizationDatabase Pattern RecognitionDatabasemodelleringDatabasenormaliseringDatabasestyringDataindeksering og -udvælgelse i pandasDatamanipulation (DML)Date and Time Data TypesEXPLAIN Statement MasteryEntity-Relationship ModelingEvent-based Data ModelingExecution Plan AnalysisExecution Plan InterpretationFeature Adoption AnalysisFiltrering baseret på intervallerFunnel Analysis in SQLGruppering og filtrering af dataHåndtering af NULL-værdierIndex UtilizationIndlejrede SQL-subforespørgslerKonstruktion af komplekse forespørgslerLedger-Style SQL JoinsMulti-table QueriesNumeric Data TypesORDER BY-sorteringPartitioning and Framing in SQLPython-programmeringQuery OptimizationQuery Planning and OptimizationRanking and Analytic FunctionsReferential IntegrityRelational Database DesignResult Set ConstructionRetention and Churn QueriesSQL AggregationsSQL BasicsSQL Conditional LogicSQL Data Types FundamentalsSQL Date and Time FunctionsSQL FunctionsSQL JOIN-typerSQL JSON FunctionsSQL JoinsSQL Logical FunctionsSQL Null FunctionsSQL Numeric FunctionsSQL Parsing and ValidationSQL Period-over-Period AnalysisSQL Query AnalysisSQL Query LifecycleSQL Query OptimizationSQL Reporting PatternsSQL SELECT-sætningerSQL String FunctionsSQL SubqueriesSQL Time-Series AggregationSQL Transaction Logic & ACIDSQL UNION-forespørgslerSQL Window FunctionsSQL i Python-projekterSQL-aggregeringsfunktionerSQL-forespørgselsoptimeringSQL-grundlæggendeSessionized Data AnalysisSkemadefinition (DDL)Special and Advanced Data TypesSubqueriesTable JoinsUdvælgelse af unikke værdierWHERE-klausulfiltreringWindow FunctionsWindow Functions for Product Metrics

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Kurser

Udforsk SQL & Databases kurser og projekter

Niveau

Lektionstype

Teknologier

Introduction to SQL

4 timer

41 kapitler

Begynder

31 STUDERER NU

Opnåede færdigheder: SQL SELECT Statements, WHERE Clause Filtering, ORDER BY Sorting, SQL Aggregate Functions, AND/OR/NOT Operators, NULL Value Handling, Range-Based Filtering, Distinct Value Selection

Intermediate SQL

3 timer

25 kapitler

Mellemniveau

18 STUDERER NU

Opnåede færdigheder: SQL Aggregate Functions, Grouping and Filtering Data, Nested SQL Subqueries, SQL UNION Queries, SQL JOIN Types, Data Manipulation (DML), Schema Definition (DDL), Complex Query Construction

SQL Optimization and Query Features

4 timer

22 kapitler

Avanceret

4 STUDERER NU

Opnåede færdigheder: SQL Query Optimization, Data Indexing and Selection in pandas, Database Management, Database Normalization, SQL Basics, CRUD Operations, Database Modeling

Relational Database and Normalization

1 time

12 kapitler

Begynder

8 STUDERER NU

Opnåede færdigheder: SQL Query Optimization, Database Normalization

SQL Joins in Depth

2 timer

21 kapitler

Begynder

5 STUDERER NU

Opnåede færdigheder: SQL Joins, Multi-table Queries, Data Analysis with Joins, Advanced Join Techniques

Working with Databases in Python

3 timer

21 kapitler

Mellemniveau

2 STUDERER NU

Opnåede færdigheder: Python Programming, CRUD Operations, SQL in Python Projects, Database Normalization, SQL Basics

Mastering CASE WHEN in SQL

3 timer

24 kapitler

Mellemniveau

5 STUDERER NU

Opnåede færdigheder: SQL Conditional Logic, CASE WHEN Syntax, Data Categorization in SQL, Advanced SQL Querying

SQL for Data Analysis

2 timer

18 kapitler

Mellemniveau

6 STUDERER NU

Opnåede færdigheder: SQL Basics, Data Filtering and Sorting, Aggregations and Grouping, Table Joins, Subqueries, SQL Functions, Data Analysis with SQL

Functions in SQL

3 timer

35 kapitler

Begynder

Opnåede færdigheder: SQL String Functions, SQL Date and Time Functions, SQL Numeric Functions, SQL Logical Functions, SQL Null Functions, SQL JSON Functions

Window Functions in SQL

4 timer

21 kapitler

Avanceret

1 STUDERER NU

Opnåede færdigheder: SQL Window Functions, Ranking and Analytic Functions, Partitioning and Framing in SQL, Advanced SQL Reporting

SQL Data Types Explained

2 timer

18 kapitler

Begynder

1 STUDERER NU

Opnåede færdigheder: SQL Data Types Fundamentals, Numeric Data Types, Character Data Types, Date and Time Data Types, Special and Advanced Data Types, Data Type Selection Best Practices

SQL Query Execution

1 time

12 kapitler

Begynder

1 STUDERER NU

Opnåede færdigheder: SQL Query Lifecycle, SQL Parsing and Validation, Query Planning and Optimization, Execution Plan Analysis, Result Set Construction

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SQL & Databases Courses: Nøgleinfo og spørgsmål

What is SQL and why is it important?

SQL (Structured Query Language) is the standard language for interacting with relational databases. It allows you to retrieve, filter, update, and manage data efficiently — making it a core skill for data analysts, developers, and anyone working with structured data.

What will I learn in SQL & Databases courses?

You’ll learn how to write SQL queries, use SELECT, WHERE, JOIN, GROUP BY, ORDER BY, and perform operations like filtering, aggregating, and combining data. Advanced topics include subqueries, window functions, indexing, and database design.

Do I need coding experience to start learning SQL?

Not at all. SQL has a relatively simple, readable syntax and is perfect for beginners. Even without programming experience, you can quickly start querying real databases and exploring structured data.

Are the courses practical and hands-on?

Yes — courses include interactive SQL editors, real-world datasets (like sales, users, or orders), and exercises that simulate real analysis tasks. You’ll write queries and get instant feedback, making learning active and engaging.

What databases will I work with?

Most courses use SQLite or PostgreSQL for simplicity, but you’ll also get exposed to MySQL and possibly cloud databases. The SQL you learn is transferable across all major relational database systems.

What careers can SQL help me with?

SQL is a must-have for roles like data analyst, business analyst, backend developer, database administrator, and product analyst. It’s also widely used in marketing, operations, finance, and research roles that involve data-driven decisions.

How is SQL used in real life?

SQL is used to power dashboards, generate reports, connect APIs to databases, track user behavior, and run backend services. It’s the foundation behind most apps, websites, and data tools used in modern businesses.

Will I get a certificate?

Yes — completing any SQL & Databases course earns you a certificate that proves your skills in querying and managing data, which can enhance your job applications or technical portfolio.

Can I combine SQL with other tools like Python or Excel?

Definitely. Many data analysts use SQL to get the data, and then tools like Python, Excel, or BI platforms (like Tableau) to further analyze and visualize it. Our advanced courses may show you how to connect them together.

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Topkurser i SQL & Databases kategori

1.	Introduktion til SQL	4 timer	41 kapitler
2.	Intermediær SQL	3 timer	25 kapitler
3.	SQL-optimering og Forespørgselsfunktioner	4 timer	22 kapitler
4.	Relational Database and Normalization	1 timer	12 kapitler
5.	SQL Joins in Depth	2 timer	21 kapitler