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    Sql For Beginners: Work With Business Data

    Posted By: ELK1nG
    Sql For Beginners: Work With Business Data

    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

    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