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SQL & Databases Courses Online with Certificate
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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Rated based on 90 reviews.
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Gained skills:
CRUD OperationsData HandlingData Indexing and Selection in pandasData ManipulationData ModelingDatabase ManagementDatabase ModelingDatabase NormalizationIntermediate SQLPython ProgrammingSQL BasicsSQL Query OptimizationSQL in Python Projects
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Browse SQL & Databases courses and projects
Level
Type of lesson
Technologies

course

Introduction to SQL

Introduction to SQL

description 4 hours
description 41 chapters

Beginner

Acquired skills: SQL Basics, Data Manipulation

course

Intermediate SQL

Intermediate SQL

description 3 hours
description 25 chapters

Intermediate

Acquired skills: Intermediate SQL, Data Handling, Data Manipulation, Data Modeling

course

Advanced Techniques in SQL

Advanced Techniques in SQL

description 4 hours
description 23 chapters

Advanced

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

course

Databases in Python

Databases in Python

description 3 hours
description 21 chapters

Intermediate

Acquired skills: Python Programming, CRUD Operations, SQL in Python Projects, Database Normalization, SQL Basics

course

Relational Database and Normalization

Relational Database and Normalization

description 1 hour
description 12 chapters

Beginner

Acquired skills: SQL Query Optimization, Database Normalization

Choose a career pathComprehensive programs to master a career pathway
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Learning tracks

Take control of your career development and commence your path into mastering the latest technologies

Real-world projects

Real-world projects elevate your portfolio, showcasing practical skills to impress potential employers

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Why Codefinity stands out
Video content
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Esteemed certificates
Interactive learning environment
Error correction
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Access to all content with one subscription
Codefinity
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Video-based learning platforms
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Codefinity
Video-based learning platforms
Video content
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Downloadable materials
yesyes
Esteemed certificates
yesyes
Interactive learning environment
yesno
Error correction
yesno
AI assistant
yesno
Access to all content with one subscription
yesno
Career opportunitiesLearn about the most popular professions, average salaries, and companies actively seeking specialists in this field.
Database Administrator
Data Engineer
Data Architect
$81k
$110k
$140k
Min
Average
Max
Annual salary
(Average in the US)
Genentech
Prudential
Tableau Software
Emergtech
Macy's
Rivian
Hiring companies
*Source: Glassdoor
Chosen by students of top schools
Including 30 out of top-30 U.S. colleges
virginia
texas
michigan
duke
berkeley
yale
mit
brown
carnegie
rochester
california
connecticut
massachusetts
city-new-york
virginia
texas
michigan
duke
berkeley
yale
mit
virginia
texas
michigan
duke
berkeley
yale
mit
brown
carnegie
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california
connecticut
massachusetts
city-new-york
virginia
texas
michigan
duke
berkeley
yale
mit
florida
illinois
colorado
indiana
new-york
cornell
columbia
notre-dame
florida
illinois
colorado
indiana
florida
illinois
colorado
indiana
new-york
cornell
columbia
notre-dame
florida
illinois
colorado
indiana

SQL & Databases Courses: Key Info and Questions

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.
What Our Users Say
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Top courses in the SQL & Databases category
1.
Introduction to SQL
time4 hours
chapters41 chapters
2.
Intermediate SQL
time3 hours
chapters25 chapters
3.
Advanced Techniques in SQL
time4 hours
chapters23 chapters
4.
Databases in Python
time3 hours
chapters21 chapters
5.
Relational Database and Normalization
time1 hours
chapters12 chapters
1. Introduction to SQL
timeHours
4
chaptersChapters
41
2. Intermediate SQL
timeHours
3
chaptersChapters
25
3. Advanced Techniques in SQL
timeHours
4
chaptersChapters
23
4. Databases in Python
timeHours
3
chaptersChapters
21
5. Relational Database and Normalization
timeHours
1
chaptersChapters
12

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