Sql For Beginners: Work With Business Data
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.64 GB | Duration: 3h 42m
Published 9/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.64 GB | Duration: 3h 42m
Build a strong SQL foundation to query and manage company data with ease.
What you'll learn
1. Write SQL queries to create, update, and manage database tables
2. Retrieve, filter, and sort business data using SQL commands
3. Use functions, joins, and subqueries to analyze complex data
4. Apply SQL to real-world business scenarios with confidence
Requirements
1. No prior SQL or programming experience needed — we start from scratch 2. Access to a computer and internet connection to practice SQL online
Description
Unlock the power of SQL to drive smarter business decisions.Master essential SQL commands to extract insights, generate reports, and manage company data with confidence. This beginner-friendly course is designed for professionals who are new to SQL and want to build practical skills for analyzing and managing data in a business context.You’ll start with the basics — writing simple queries to retrieve, filter, and sort data from relational databases. Step by step, you’ll learn how to structure data using tables, apply common SQL clauses, and extract key business insights like sales trends, customer behavior, and team performance. What you'll learn:How to write and run basic SQL queries (SELECT, INSERT, UPDATE, DELETE)Use WHERE, ORDER BY, and GROUP BY clauses for practical data filtering and reportingApply aggregate functions like SUM, AVG, and COUNT to generate summariesUnderstand data types, table structures, and data integrity principlesWork with real-world business scenarios in marketing, operations, and financeThis course uses a hands-on approach with simple, relatable business examples and practical exercises to help you confidently apply your skills in the workplace. Whether you’re in HR, sales, or admin, this course will help you become more data-driven and add value to your organization.
Overview
Section 1: Introduction
Lecture 1 01- Course Introduction
Lecture 2 02- Introduction to Tools
Lecture 3 03- Why Preloaded Schemas?
Lecture 4 04- What to Expect in This Course
Section 2: Introduction to SQL and Databases
Lecture 5 05- What is SQL?
Lecture 6 06- What is a Database?
Lecture 7 07- Types of Databases
Lecture 8 08- Importance of SQL in Business
Lecture 9 09- Real-World Applications of SQL
Section 3: Introduction to SQL and Database Concepts (Basic Queries)
Lecture 10 10- Query 1. Creating a New Database
Lecture 11 11- Query 2. Creating a Table
Lecture 12 12- Query 3. Inserting a Record into Table
Lecture 13 13- Query 4. Selecting All Records form a Table
Section 4: Data Definition Language (DDL)
Lecture 14 14- Query 5. Adding a New Column to a Table
Lecture 15 15- Query 6. Renaming a Column in a Table
Lecture 16 16- Query 7. Dropping a Column from a Table
Lecture 17 17- Query 8. Dropping a Table
Section 5: Data Manipulation with DML
Lecture 18 18- Query 9. Inserting Multiple Records into a Table
Lecture 19 19- Query 10. Updating Existing Records in a Table
Lecture 20 20- Query 11. Deleting a Record from a Table
Lecture 21 21- Query 12. Selecting Specific Column from a Table
Section 6: Data Query Language (DQL)
Lecture 22 22- Query 13. Filtering Data with WHERE
Lecture 23 23- Query 14. Grouping Data with COUNT
Lecture 24 24- Query 15. Filtering by Date Values
Lecture 25 25- Query 16. Sorting Data with ORDER BY
Section 7: Filtering and Searching Data in SQL
Lecture 26 26- Query 17. Using DISTINCT to Eliminate Duplicates
Lecture 27 27- Query 18. Using LIKE for Pattern Matching
Lecture 28 28- Query 19. Filtering with AND vs. OR Conditions
Lecture 29 29- Query 20. Using IN to Filter by Multiple Values
Section 8: Aggregating and Summarizing Data in SQL
Lecture 30 30- Query 21. Grouping with COUNT
Lecture 31 31- Query 22. Summing Salaries by Department
Lecture 32 32- Query 23. Calculating Average Salaries
Lecture 33 33- Query 24. Using HAVING to Filter Groups
Section 9: Joining Tables in SQL
Lecture 34 34- Query 25. Inner Join Between Employees and Departments
Lecture 35 35- Query 26. Left Join Between Employees and Departments
Lecture 36 36- Query 27. Right Join Between Employees and Departments.
Lecture 37 37- Query 28. Full Outer Join Between Employees and Departments
Section 10: Using Subqueries to Solve Real-World Business Questions
Lecture 38 38- Query 29. Finding the Employee with the Highest Salary
Lecture 39 39- Query 30. Filtering Groups with HAVING
Lecture 40 40- Query 31. Comparing Salaries with the Average
Lecture 41 41- Query 32. Using EXISTS in a Subquery
Section 11: Working with Dates and Times in SQL
Lecture 42 42- Query 33. Filtering by Recent Hire Dates
Lecture 43 43- Query 34. Extracting Month from Birthdate
Lecture 44 44- Query 35. Converting Strings to Dates
Lecture 45 45- Query 36. Displaying the Current Date
Section 12: Working with Data Types and Formatting in SQL
Lecture 46 46- Query 37. Casting Data Types
Lecture 47 47- Query 38. Handling NULL Values with NVL
Lecture 48 48- Query 39. Formatting Dates with TO_CHAR
Lecture 49 49- Query 40. Rounding Numbers
Section 13: Using Functions for Data Transformation
Lecture 50 50- Query 41. Concatenating Strings
Lecture 51 51- Query 42. Measuring String Length
Lecture 52 52- Query 43. Replacing Characters in Strings
Lecture 53 53- Query 44. Using UPPER and LOWER to Change String Case
Section 14: Conclusion
Lecture 54 54- Conclusion and Next Steps
1. Beginners who want to learn SQL for the first time 2. Business and data professionals looking to work with databases 3. Students preparing for IT, data, or analytics careers 4. Anyone curious about using SQL to solve real business problems