The Complete SQL Bootcamp (30 Hours): Go from Zero to Hero
2026-01-29
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 36.23 GB | Duration: 29h 49m
What you'll learn
You'll learn the basics: what SQL is, how databases work, and why SQL is essential for working with data
You'll learn how to query using SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, and more
You'll learn how to combine multiple tables using JOINS, UNION, INTERSECT, and EXCEPT
You'll learn all SQL functions including String, Numeric, Date/Time, and CASE logic
You'll learn how to handle NULL values in SQL
You'll master ALL Window Functions (LEAD, LAG, RANK, ROW_NUMBER etc.)
You'll master advanced SQL techniques like Subqueries, CTEs, Views, and Temp Tables
You'll learn how to create and use Stored Procedures and Triggers for automation and logic
You'll learn how to optimize performance, reduce query time, and tune indexes
You'll learn how to integrate SQL with AI and Data Science tools for real business use
You'll learn how to build and query a complete SQL Warehouse from scratch
You'll learn how to use SQL for EDA (Exploratory Data Analysis) on real-world datasets
You'll learn how to apply advanced analytics techniques using SQL
Requirements
No prior SQL or programming experience is required!
You just need a computer with internet access
All tools used in the course are free and easy to set up - we'll guide you every step of the way
Description
The most visual and complete SQL course on the internet - built by a real data professional.This isn't your average SQL course with boring slides and textbook examples.This is a fully animated, hands-on SQL bootcamp where you'll not only learn how to write SQL - you'll actually see how SQL works behind the scenes through 200+ custom-made animations, hand-drawn to help you truly understand each concept at its core.This course is based on over 17 years of real-world experience working with data at top global companies like Mercedes-Benz and Bosch. Every lesson, project, and topic comes directly from real enterprise use cases - not academic theory.Whether you're an absolute beginner or someone looking to level up, this course is designed to take you from zero to hero in SQL.If you've never written a line of SQL, don't worry - everything is explained from scratch, step by step. You're not too old or too young - SQL is one of the easiest and most rewarding skills you can learn.What makes this course truly unique:200+ visual animations that make even complex SQL concepts easy to understandBuilt by a senior data expert with over 17 years in the industry - not a generic instructorReal-world projects based on tasks I've personally handled in enterprise environmentsCovers everything in SQL - from the absolute basics to advanced topics like Window Functions, CTEs, Query Optimization, SQL Warehousing, and Advanced AnalyticsPractice with real scenarios to go from beginner to job-ready with confidenceTopics covered in this complete course :Introduction: Learn what SQL is, why it matters, how databases work, and how to set up your full SQL environment.Querying Data (SELECT): Master SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY, DISTINCT, TOP, and query execution order.Data Definition (DDL): Create, modify, and remove database objects using CREATE, ALTER, and DROP commands.Data Manipulation (DML): Add, update, and delete records using INSERT, UPDATE, and DELETE with real-world logic.Filtering Data: Use comparison and logical operators like AND, OR, NOT, BETWEEN, IN, and LIKE to filter data effectively.Combining Data: Join and merge tables using INNER, LEFT, RIGHT, FULL, CROSS joins and SET operations like UNION, INTERSECT.Row-Level Functions: Use string, numeric, date, null-handling functions, and CASE expressions to transform your data.Aggregation & Analytics: Apply aggregate functions and advanced window functions like RANK, DENSE_RANK, LAG, and LEAD.Advanced SQL Techniques: Work with subqueries, CTEs (recursive and non-recursive), views, temp tables, procedures, and triggers.Performance Optimization: Improve query speed using indexes, partitions, and practical performance tips.AI & SQL: Use ChatGPT and GitHub Copilot to generate, explain, optimize, and debug SQL - plus translate and document code.Hands-On Projects for Real Experience:Watching tutorials is not enough - that's why this course is packed with practical projects so you can immediately apply your new skills in real-world scenarios. Each project is designed to mirror actual work done by professionals:SQL Data Warehouse: Design and implement a full-scale SQL data warehouse from scratch, just like you would in a real enterprise environment.SQL for Data Analysis (EDA): Use SQL to perform exploratory data analysis on real datasets, extracting insights and creating reports as a data analyst would.Advanced Query Optimization: Tackle complex query challenges and practice performance tuning on large datasets to simulate high-pressure, real-world scenarios.Important Note on DatabasesThe course files include datasets for multiple database systems (SQL Server, MySQL, PostgreSQL, etc.).This course mainly focuses on SQL Server (which runs only on Windows).If you're on Mac, you can still follow along by using MySQL or PostgreSQL - the SQL concepts are the same.The goal of this course is to help you understand SQL concepts and how to apply them in real projects, regardless of the specific database.By completing these projects, you'll translate theory into practice. You'll not only reinforce your learning, but also build a portfolio of job-ready examples to show future employers.Don't miss out on the chance to master SQL, the skill that will set you apart in the job market and propel your career to new heights. Enroll now and unlock the potential of your data with SQL expertise!
Who this course is for:
Complete beginners looking to build a strong foundation in SQL from scratch, Students in data science, computer science, or related fields who want a practical, hands-on approach to SQL., Data analysts and business intelligence professionals seeking advanced techniques for complex data queries and analytics., Data engineers looking to design robust ETL pipelines and data warehouses., Data scientists wanting to leverage SQL for exploratory data analysis and AI-driven insights., Software developers aiming to integrate SQL efficiently and optimize database performance.
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