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SQL - MySQL for Data Analytics and Business Intelligence

4.6(65,216) on Udemy·274K enrolled
Beginner 12 hours English Course Certificate
SkillsSQLMySQLQueriesJoinsBusiness intelligenceData analysis

Is this course right for you?

Our take
A practical, well-explained route to job-relevant SQL for analytics and BI, using MySQL. It teaches the concepts, not just the syntax.

Good for: beginners who want practical SQL for analytics and business intelligence.

Skip if: you already know SQL, or you need a database other than MySQL.

365 Careers builds from data types and constraints through the full SELECT clause set and grouping, with 123 coding exercises and plenty of supporting articles. Its strength is genuinely explaining why relational databases work the way they do, which suits learners who want understanding rather than memorised commands.

What it does not do is cover databases other than MySQL in depth, or advanced administration and tuning, and someone who already knows SQL will find it basic. On price, wait for a Udemy sale.

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About this course

This course covers SQL and relational database theory from the ground up using MySQL Workbench: data types, constraints (primary/foreign/unique/default/not null), the SELECT statement and its full clause set (WHERE, AND/OR, LIKE, BETWEEN, ORDER BY, GROUP BY, HAVING), and INSERT statements, with 123 coding exercises and 182 supporting articles aimed at preparing learners for SQL developer, DBA, business analyst, and BI roles.

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Instructor

3C
365 Careers & 365 Team
Udemy instructor

365 Careers is Udemy's #1 best-selling provider of business, finance, data science, and AI courses, taken by 3.9M+ students across 210 countries.

Frequently asked questions

MySQL, a popular open-source relational database used widely in industry, which makes it a practical choice for learning. The core SQL you learn — filtering, joins, grouping, subqueries — transfers cleanly to other systems like PostgreSQL or SQL Server, so you are not locked in; only some functions and small syntax details differ between engines, and adapting later is straightforward once the fundamentals are solid.

Yes. It starts with genuine database theory — what a database, table, record, and relation actually are — before any querying, which gives beginners a firmer footing than courses that jump straight into syntax. From 365 Careers, it is designed to be clear and concise, and it assumes no prior database or programming background, so someone entirely new to data can follow it comfortably.

It is aimed specifically at data analytics and business intelligence, so beyond core SQL it teaches you to create relational databases and to retrieve and analyse data to answer business questions. Lessons use a realistic 'Employees' database throughout, so you practise on something resembling real work rather than toy examples — useful grounding if your goal is an analyst or BI role rather than software development.

It gives you the solid SQL foundation that analyst and BI roles genuinely require, which is a real step forward. On its own, though, most such roles also expect spreadsheet fluency, a visualisation tool like Power BI or Tableau, and the judgement that comes from working with messy real data. Use this to get genuinely strong at SQL, then add those complementary skills before applying.

It is a paid Udemy course, roughly twelve hours long, and usually available at a low price during Udemy's frequent sales rather than at full list. It comes with downloadable exercises and course notes, and lifetime access, so you can revisit sections later. For a structured, beginner-friendly path into SQL for analytics, most people find it a modest, worthwhile spend when bought on discount.
Paid
Paid, frequently discounted · 30-day money-back guarantee
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