SQL

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SQL is an essential skill in today’s data-driven world, empowering individuals to retrieve, manage, and analyse data effectively. This SQL course provides a structured understanding of how to use Structured Query Language to work with databases confidently and efficiently. Whether learners are aiming to enhance analytical skills or support business decision-making, mastering SQL offers a competitive edge in almost every professional field.

The course introduces learners to fundamental SQL concepts, including creating, reading, updating, and deleting data in relational databases. Learners will explore essential topics such as queries, joins, data filtering, and aggregation while understanding how SQL fits into broader data management systems. The training also highlights best practices for data integrity and optimised query performance.

By completing this SQL course, learners will develop the ability to extract insights from large datasets, interpret patterns, and present results that guide business strategy. The knowledge gained supports professionals in roles that rely on accurate data reporting and evidence-based decision-making. This course enhances both technical proficiency and confidence, preparing learners to apply SQL across diverse industries such as finance, marketing, healthcare, and technology.

Sneak Peek

Learning Outcomes

    • Develop a strong understanding of SQL syntax and core concepts.
    • Apply SQL queries to retrieve and manage structured data effectively.
    • Analyse datasets using filtering, sorting, and aggregation functions in SQL.
    • Implement joins to combine data from multiple relational tables.
    • Evaluate query performance and apply optimisation techniques in SQL.
    • Demonstrate proficiency in using SQL for data-driven decision-making.

Who is this Course For

  • Data analysts aiming to improve database management and query skills.
  • Business professionals seeking to interpret and manage company data effectively.
  • IT professionals looking to strengthen SQL and database knowledge.
  • Graduates preparing for careers in data analytics or information systems.
  • Marketing specialists interested in using SQL for campaign data analysis.
  • Project managers needing better insights from data reports and metrics.
  • Developers integrating SQL into software and application development.
  • Anyone wishing to enhance analytical skills through SQL knowledge.

Certification

Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Training-Express-Certificate-CPD-QS-1-1

Accreditation

All of our courses, including this Microsoft Powerpoint with AI, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.

Career Path

  • Data Analyst – Average Salary: £35,000 per year
  • Database Administrator – Average Salary: £40,000 per year
  • Business Intelligence Analyst – Average Salary: £42,000 per year
  • Data Engineer – Average Salary: £45,000 per year
  • Software Developer – Average Salary: £38,000 per year
  • Systems Analyst – Average Salary: £36,000 per year

Course Curriculum

The detailed curriculum outline of our Do Your Personal SWOT Analysis & Grow in Career & Life is as follows:

Q1 – Find the active Branches List

Q2 – Fetching the Basic Product Details from the table

Q3 – Recent Customer Signups

Q4 – Orders Overview

Q5 – Unresolved Customer Support Tickets

Q6 – Fetching Customers Orders info using Joins

Q7 – Total Revenue made

Q8 – Average Response Time to Customers

Q9 – Active Employee Count for Departments

Q10 – Expired Products from Inventory

Q11 – Campaigns by Channel

Q12 – Active Assets Deployed in Branches

Q13 – Top 5 Products by their revenue

Q14 – Asset Depreciation Calculation

Q15 – High Cost Employees by Department

Q16 – Return of Investment on Branches

Q17 – Delivery Type Performance

Q18 – Customer Order Frequency

Q19 – Top 3 products per category

Q20 – Inventory Expiry Tracker

Q21 – Campaign Spend Efficiency

1 – Introduction to SQL Language

3 – Writing our First SQL Query

2 – Understanding the SQL Language.mov

4 –  Introduction to Databases

5 – Types of Databases

6 – SQL vs MYSQL Updated

7 – Spreadhsheets Vs Database

8 – Understanding Relational Database

9 – Project Introduction

10 – Data Types and INT

11 – BIG INT

12 – TINYINT

13 – DECIMAL

14 – FLOAT and DOUBLE

15 – BIT and BOOLEAN

16 – CHAR

17 – VARCHAR

18 – TEXT

19 – ENUM

20 – DATE and TIME

21 – DATETIME

22 – TIMESTAMP

23 – YEAR

24 – BLOB

25 – JSON

26 – Why we need Database Schema

27 – Types of Schema

28 – STAR Schema

29 – Installing Server and Workbench Installation for Mac

31 – Creating our First Database Schema

32 – Introduction to Snowflake Schema

33 – Creating a Snowflake Schema Database

34 – Primary Key

35 – Foreign Key

36 – Unique Composite and Candidate Key

37 – One to One Relationships

38 – One to many Relationships

39 – Many to Many Relationships

40 – Creating a Sample Database

41 – Create a Sample_Table

42 – Creating DATA for our Table

43 – Selecting Data CRUD Operations

44 – Altering and Updating the Table and Table information

45 – Deleting in SQL

46 – Importing Data to our MYSQL workbench

47 – SELECT  Everything

48 – Selecting Multiple Columns

49 – Select Distinct Values from a column or columns

50 – Selecting info with WHERE Clause

51 – Using Less than or Equal to with Where clause

52 – Using WHERE clause with greater than or equals to

53 – Where with AND criteria and Multiple criterion

54 – WHERE and OR

55 – WHERE and IN

56 – Understanding Wild Cards in MYSQL

57 – Wild Cards Situation Practice in MySQL workbench

Shortcomings and Operators of WHERE clause

57- Aggregation Section Introduction

63 – MAX and MIN

58 – Basic SUM

59 – Aggregations with previous learnings and Complex Situations

60 – Basic Count

61 – Complex Counting

62 – Average

1 – What is expected in this assignment

2 – Assignment Solution walkthrough

64 – Group by statement

65 – GROUP BY in MYSQL Workbench

66 – ORDER BY Statement

67 – HAVING

78 – Union All

68 – What are Joins and Why we need them

69 – Exploring the Dataset and CROSS Joins

70 – Understanding Left Join

71 – Practing Left Join with aggregations

72 – RIGHT Join

73 – RIGHT Join Example

74 – Practicing Right Join – Multi join and Aggregations

75 – Inner Join

76 – Practicing INNER JOIN

77 – Union

79 – Between and AND

80 – LIMIT

80 – NOT BETWEEN

81 – IS NOT NULL

82 – IS NULL

83 – Understanding CASE Statements updated

84 – Practicing Case Statement 1

85 – Case Statement 2

86 – Case Statement 3

87 – Introduction to SubQuery MYSQL

88 – Scalar SubQuery – MYSQL

89 – Practicing Scalar SubQuery – Q1 – MYSQL

90 – Scalar SubQuery Q2 –  MYSQL

91 – Complex Sub-Query Using Joins and Multiple Tables – MYSQL

Introduction to Window Functions – updated

Course Curriculum

Capstone Project
Q1 – Find the active Branches List 00:02:00
Q2 – Fetching the Basic Product Details from the table 00:02:00
Q3 – Recent Customer Signups 00:03:00
Q4 – Orders Overview 00:01:00
Q5 – Unresolved Customer Support Tickets 00:03:00
Q6 – Fetching Customers Orders info using Joins 00:04:00
Q7 – Total Revenue made 00:03:00
Q8 – Average Response Time to Customers 00:04:00
Q9 – Active Employee Count for Departments 00:03:00
Q10 – Expired Products from Inventory 00:04:00
Q11 – Campaigns by Channel 00:01:00
Q12 – Active Assets Deployed in Branches 00:04:00
Q13 – Top 5 Products by their revenue 00:06:00
Q14 – Asset Depreciation Calculation 00:07:00
Q15 – High Cost Employees by Department 00:05:00
Q16 – Return of Investment on Branches 00:10:00
Q17 – Delivery Type Performance 00:07:00
Q18 – Customer Order Frequency 00:04:00
Q19 – Top 3 products per category 00:03:00
Q20 – Inventory Expiry Tracker 00:04:00
Q21 – Campaign Spend Efficiency 00:05:00
Section 1 - Introduction to SQL
1 – Introduction to SQL Language 00:03:00
2 – Understanding the SQL Language 00:04:00
3 – Writing our First SQL Query 00:03:00
Section 2 - SQL foundations
4 –  Introduction to Databases 00:03:00
5 – Types of Databases 00:05:00
6 – SQL vs MYSQL Updated 00:05:00
7 – Spreadhsheets Vs Database 00:05:00
8 – Understanding Relational Database 00:06:00
Section 3 - Data Types in SQL
9 – Project Introduction 00:02:00
10 – Data Types and INT 00:05:00
11 – BIG INT 00:03:00
12 – TINYINT 00:03:00
13 – DECIMAL 00:03:00
14 – FLOAT and DOUBLE 00:02:00
15 – BIT and BOOLEAN 00:02:00
16 – CHAR 00:03:00
17 – VARCHAR 00:02:00
18 – TEXT 00:01:00
19 – ENUM 00:02:00
20 – DATE and TIME 00:02:00
21 – DATETIME 00:01:00
22 – TIMESTAMP 00:01:00
23 – YEAR 00:01:00
24 – BLOB 00:03:00
25 – JSON 00:02:00
Section 4 - Understanding Schema and creating Schema
26 – Why we need Database Schema 00:05:00
27 – Types of Schema 00:01:00
28 – STAR Schema 00:04:00
29 – Installing Server and Workbench Installation for Mac 00:04:00
31 – Creating our First Database Schema 00:04:00
32 – Introduction to Snowflake Schema 00:02:00
33 – Creating a Snowflake Schema Database 00:04:00
Section 5 - Keys and Relationships
34 – Primary Key 00:03:00
35 – Foreign Key 00:02:00
36 – Unique Composite and Candidate Key 00:05:00
37 – One to One Relationships 00:03:00
38 – One to many Relationships 00:02:00
39 – Many to Many Relationships 00:03:00
Section 6 - CRUD Operations
40 – Creating a Sample Database 00:05:00
41 – Create a Sample_Table 00:06:00
42 – Creating DATA for our Table 00:07:00
43 – Selecting Data CRUD Operations 00:01:00
44 – Altering and Updating the Table and Table information 00:05:00
45 – Deleting in SQL 00:04:00
Section 7 - Project and Select Statements
46 – Importing Data to our MYSQL workbench 00:04:00
47 – SELECT  Everything 00:03:00
48 – Selecting Multiple Columns 00:05:00
49 – Select Distinct Values from a column or columns 00:05:00
51 – Using Less than or Equal to with Where clause 00:05:00
52 – Using WHERE clause with greater than or equals to 00:03:00
53 – Where with AND criteria and Multiple criterion 00:07:00
54 – WHERE and OR 00:05:00
55 – WHERE and IN 00:07:00
56 – Understanding Wild Cards in MYSQL 00:06:00
57 – Wild Cards Situation Practice in MySQL workbench 00:07:00
Shortcomings and Operators of WHERE clause 00:02:00
Section 8 - Aggregations in MySQL
57- Aggregation Section Introduction 00:01:00
58 – Basic SUM 00:07:00
59 – Aggregations with previous learnings and Complex Situations 00:05:00
60 – Basic Count 00:07:00
61 – Complex Counting 00:04:00
62 – Average 00:07:00
63 – MAX and MIN 00:08:00
Section 8.1 - Assignment
1 – What is expected in this assignment 00:01:00
2 – Assignment Solution walkthrough 00:04:00
Section 9 - GroupBy OrderBy and Having in MYSQL
64 – Group by statement 00:09:00
65 – GROUP BY in MYSQL Workbench 00:07:00
66 – ORDER BY Statement 00:06:00
67 – HAVING 00:11:00
Section 10 - Joins
68 – What are Joins and Why we need them 00:04:00
69 – Exploring the Dataset and CROSS Joins 00:07:00
70 – Understanding Left Join 00:06:00
71 – Practing Left Join with aggregations 00:07:00
72 – RIGHT Join 00:04:00
73 – RIGHT Join Example 00:05:00
74 – Practicing Right Join – Multi join and Aggregations 00:12:00
75 – Inner Join 00:04:00
76 – Practicing INNER JOIN 00:03:00
77 – Union 00:06:00
78 – Union All 00:02:00
Section 11 - More Operators and NULL management
79 – Between and AND 00:02:00
80 – LIMIT 00:03:00
80 – NOT BETWEEN 00:02:00
81 – IS NOT NULL 00:03:00
82 – IS NULL 00:03:00
Section 12 - CASE Statements
83 – Understanding CASE Statements updated 00:04:00
84 – Practicing Case Statement 1 00:14:00
85 – Case Statement 2 00:03:00
86 – Case Statement 3 00:03:00
Section 13 - Subqueries
87 – Introduction to SubQuery MYSQL 00:02:00
88 – Scalar SubQuery – MYSQL 00:03:00
89 – Practicing Scalar SubQuery – Q1 – MYSQL 00:04:00
90 – Scalar SubQuery Q2 –  MYSQL 00:02:00
91 – Complex Sub-Query Using Joins and Multiple Tables – MYSQL 00:13:00
Section 14 - Window Functions
Introduction to Window Functions – updated 00:06:00
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