Practical Sql For Analysts From Zero To Ctes

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Practical Sql For Analysts From Zero To Ctes
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 258.79 MB | Duration: 2h 37m
Build, Fill, and Query a Real E-Commerce Database - DDL, DML, JOINs, Subqueries & CTEs. Build a Real Sales Dashboard.
What you'll learn

Design and create database tables using DDL commands (CREATE TABLE, ALTER TABLE, DROP TABLE) with appropriate data types, primary keys, and foreign keys.
Manipulate data safely using INSERT, UPDATE, and DELETE statements, applying the "always use WHERE" rule to avoid catastrophic mistakes.
Read and filter data with SELECT, WHERE, ORDER BY, LIMIT, DISTINCT, and proper handling of NULL values using IS NULL, IS NOT NULL, and COALESCE.
Aggregate data using GROUP BY, HAVING, and aggregate functions (COUNT, SUM, AVG, MIN, MAX), including grouping by date components for time-series analysis.
Combine data from multiple tables using all five JOIN types (INNER, LEFT, RIGHT, FULL OUTER, SELF JOIN) and understand when each is appropriate.
Write subqueries and CTEs (WITH ... AS) to break down complex business questions into readable, maintainable SQL queries.
Build a complete data mart - a monthly_sales_dashboard view that combines all course concepts into a portfolio-ready analytics artifact.
Translate SQL across dialects - recognize syntactic differences between SQLite, PostgreSQL, MySQL, MS SQL Server, and Oracle, and switch between them.
Requirements
No prior SQL experience required - we start from absolute zero.
No programming experience required - SQL is declarative, not procedural.
A modern web browser (Chrome, Firefox, Safari, Edge) - all practice happens in Udemy's built-in coding environment, no installations needed.
Basic computer literacy - file management, copy/paste, web navigation.
English reading comprehension at intermediate level - videos use clear, slow English.
Description
This course contains the use of artificial intelligence.Master practical SQL skills in just 8 short videos - plus hours of hands-on coding exercises and a real sales dashboard project.Are you a beginner who wants to learn SQL without spending 20+ hours on a bloated bootcamp? Are you an aspiring data analyst who needs results-driven, no-fluff training? This course is designed for you.What makes this course different:▸ ULTRA-FOCUSED VIDEO LECTURES - Eight short, well-structured videos cover everything from creating your first table to writing CTEs.▸ DEEP-DIVE STUDY GUIDES - every topic includes a 3,000+ word study guide with examples, term definitions, common pitfalls, and a mini-quiz. This is a textbook AND a course in one.▸ 75+ HANDS-ON CODING EXERCISES - practice every concept directly inside Udemy with auto-grading. Five difficulty levels per topic, so you progress from basics to business challenges.▸ CAPSTONE PROJECT - build a real monthly sales dashboard data mart using a realistic e-commerce database. Add it to your portfolio.▸ READY FOR REAL WORK - bonus chapters cover SQL dialect differences (PostgreSQL, MySQL, MS SQL Server, Oracle) and a step-by-step guide to installing PostgreSQL locally.You'll learn:- How to design and create database tables (DDL)- How to insert, update, and delete data safely (DML)- How to read and filter data (SELECT, WHERE, NULL handling)- How to aggregate and group data (GROUP BY, HAVING, dates)- Five types of JOINs and when to use each- Subqueries and Common Table Expressions (CTEs)- How to combine all skills to build a sales dashboardBy the end, you'll have a portfolio-ready SQL project and the confidence to tackle real analytics work. No prior programming experience required.
Complete beginners who want a structured, no-nonsense introduction to SQL - without 20-hour bootcamps.,Aspiring data analysts preparing for their first analyst job interview.,Marketing professionals who need to query customer or sales data without waiting on engineering.,Product managers who want to validate hypotheses with data instead of asking analysts.,Junior developers who learned to code but never properly learned SQL.,Students in business, economics, or marketing programs who want a practical edge.,Career switchers moving into data roles from non-technical backgrounds.
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