Master Sql For Beginners: From Zero To Query Hero!
Published 5/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 46m | Size: 1.45 GB
Learn SQL from Scratch and Master Data Queries, Joins, and Business Intelligence Techniques
What you'll learn
Understand the core concepts of databases and SQL.
Be able to write SQL queries to retrieve, filter, and manipulate data.
Learn how to use SQL in real-world business scenarios.
Be comfortable working with basic and intermediate SQL commands.
Apply knowledge through real-world projects and examples.
Requirements
No SQL/programming experience required.
Description
Are you ready to learn one of the most in-demand skills in tech and business today? This course is your practical, hands-on introduction to SQL (Structured Query Language)-the powerful language used to manage and analyze data stored in databases.Whether you're completely new to SQL or want to refresh your knowledge, this beginner-friendly course will guide you step by step, from the very basics to writing your own queries with confidence. You'll learn how to create and manage tables, insert and retrieve data, filter and sort results, and work with multiple tables using joins. You will also explore more advanced topics like data aggregation, transformation, and how SQL is used in real-world business intelligence (BI) scenarios.Through clear explanations and real-world examples, you'll gain practical skills that you can apply immediately-whether you're aiming to become a data analyst, BI professional, or simply want to better understand how to work with data in your current role.By the end of this course, you'll not only understand how SQL works-you'll be able to use it to extract insights, answer critical business questions, and work confidently with databases. No prior experience required. Let's turn you into a query hero-join now and start learning SQL today!
Who this course is for
Absolute beginners to SQL or databases.
Aspiring data analysts, BI professionals, and data enthusiasts.
Business professionals wanting to improve their data skills.
Students and career switchers aiming to break into data-related fields.
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