Course Curriculum

Introduction 00:03:00
How to get course requirements 00:03:00
Getting started on Windows, Linux or Docker 00:01:00
How to ask great questions 00:01:00
FAQ’s 00:01:00
Section Introduction 00:02:00
Microsoft SQL Server Installation 00:19:00
SQL Server Management Studio (SSMS) Installation 00:08:00
How to connect MS SQL (Windows Authentication) 00:04:00
How to connect MS SQL (SQL Server Authentication) 00:03:00
Download and Restore Sample Database 00:07:00
What is Azure Data Studio 00:06:00
Azure Data Studio Installation steps 00:07:00
Azure Data Studio to Connect SQL Server 00:09:00
Create a Database 00:07:00
Create a Table 00:09:00
Insert Data rows 00:07:00
View the Data returned by Query 00:03:00
Section Introduction 00:01:00
Overview of Databases 00:11:00
Creating Database 00:05:00
SQL Data Types 00:03:00
Column Data Types on SSMS 00:04:00
Creating Table 00:09:00
Overview of Primary Key and Foreign Key 00:04:00
Primary Key 00:04:00
Foreign Key 00:07:00
Creating Temporary tables 00:06:00
Section Introduction 00:01:00
Insert statement 00:08:00
Update statement 00:05:00
Delete statement 00:03:00
Section Introduction 00:01:00
CREATE table statement 00:03:00
DROP statement 00:02:00
ALTER statement 00:05:00
TRUNCATE statement 00:04:00
COMMENT in query 00:01:00
RENAME 00:02:00
Create Database user 00:04:00
GRANT permissions 00:06:00
REVOKE permissions 00:04:00
Section Introduction 00:01:00
SQL Statement basic 00:03:00
SELECT Statement 00:07:00
SELECT DISTINCT 00:03:00
SELECT with column headings 00:03:00
Column AS statement 00:02:00
SELECT WHERE Clause – theory 00:04:00
SELECT WHERE Clause – practical 00:07:00
Sum() 00:08:00
Min()-Max() 00:06:00
Order By statement 00:05:00
SELECT TOP clause in SQL 00:04:00
BETWEEN command 00:08:00
IN operator 00:04:00
Wildcard Characters and LIKE 00:05:00
Section Introduction 00:01:00
Group by – theory 00:03:00
Group by – practical 00:05:00
HAVING statement 00:04:00
Overview of Joins 00:02:00
What are Joins 00:02:00
Inner join 00:08:00
Left outer join 00:03:00
Right outer join 00:02:00
Full outer join 00:01:00
Union 00:03:00
Cartesian Product with the Cross Join 00:03:00
Query Exercise 00:01:00
Solution for Query Exercise 00:01:00
Section introduction 00:01:00
Check constraint 00:07:00
NOT NULL constraint 00:08:00
UNIQUE constraint 00:05:00
Creating Views 00:04:00
Reporting with multiple tables 00:03:00
Section Introduction 00:01:00
Timestamp 00:04:00
Extract from timestamp 00:03:00
Mathematical scalar functions 00:04:00
String functions 00:05:00
Sub Query 00:03:00
SELECT with calculations 00:06:00
Create stored procedure 00:05:00
Stored procedure with parameter 00:04:00
Installing SandDance Extension 00:03:00
Visualization Charts 00:05:00
Multiple Table Data Charts 00:06:00
Type Decision for Data Analysis 00:13:00
Data Analysis with Case Statement and String Text 00:09:00
Section Introduction 00:01:00
Import Flat File 00:05:00
Import .csv or excel file 00:03:00
Export Data to Excel or any format 00:06:00
Section Introduction 00:01:00
Creating Database backup 00:04:00
Restoring Database backup 00:04:00

SQL Data Visualization Course Overview

SQL for Data Science, Data Analytics and Data Visualisation teaches one of the most important skills required across modern data roles. Businesses store valuable information in databases, and SQL is the language professionals use to retrieve, organise and analyse it. This practical SQL data visualisation course helps you turn stored information into meaningful insights.

No previous SQL experience is required. This beginner-friendly SQL data science course starts with the fundamentals before progressing to queries, joins, functions and database management. You’ll learn how to retrieve information from large datasets, clean it and prepare it for analysis.

Throughout the course, you’ll also explore SQL and data visualisation, learning how database results can be transformed into useful charts and reports. By the end, you’ll have practical SQL skills that can support careers in data analysis, business intelligence, data science and database management.

Learning Outcomes

By completing this SQL for Data Science course, you will be able to:

  • Write accurate SQL queries to retrieve information from databases
  • Filter, sort and organise large datasets confidently
  • Combine information from multiple tables using SQL joins
  • Clean and prepare data for analysis and reporting
  • Use SQL for data visualisation and business reporting
  • Understand how databases support data science projects
  • Apply SQL skills to practical workplace data tasks

What You’ll Gain

  • Core SQL skills for data science and analytics
    Learn SQL from the ground up and build a strong technical foundation for a career involving data.

  • Database setup and management skills
    Work with Microsoft SQL Server and supported SQL development tools, including Visual Studio Code with the MSSQL extension.

  • Database and table design knowledge
    Learn how to create databases and tables while using primary and foreign keys to structure related information.

  • Essential data-querying skills
    Use SELECT statements, WHERE clauses and ORDER BY to retrieve, filter and organise database records.

  • Data filtering and aggregation techniques
    Apply GROUP BY, HAVING and functions such as SUM, COUNT, AVG and MAX to summarise datasets.

  • SQL joins for data analysis
    Use inner, left, right and full outer joins to combine related information from multiple tables.

  • Advanced SQL knowledge
    Explore subqueries, stored procedures and string functions to manage more complex data tasks.

  • SQL data visualisation skills
    Transform SQL query results into understandable charts, reports and visual insights.

  • Import, export and backup knowledge
    Learn how to move data between formats and support reliable database backup and restoration processes.

  • A recognised course certificate
    Earn a course-completion certificate demonstrating your SQL, data analytics and visualisation training.

Our Specialised Delivery Method:

  • Interactive Learning Materials: The course modules were created using an EdTech industry-recognised tool to keep you engaged at all times. With this tool, you get interactive, engaging and top-notch course content. In our courses, you can take advantage of features like—
    • Drop Down Menu
    • Drag and Drop
    • Flash Card
    • Label Graphic
    • Timeline View
  • Responsiveness: In light of contemporary mobile and point-of-need learning trends, our courses are designed to be intrinsically dynamic and provide you the ultimate eLearning solution. These courses will adapt to any gadget without any extra software.
  • Learner-Friendly Navigation: Our courses are also quite simple to navigate for any learner. These courses are designed with simplicity and a modern flow that appeals to a wide range of learning audiences, regardless of their technical background and gadgets.
  • Elegant Outline: Our courses are visually appealing, where you can —
    • Track your progress on the left-side navigation toolbar.
    • Engage in drag-and-drop sorting activities and use the multiple response question to test your understanding of course topics.

With your newly acquired skills from this course can help you

  • Increase Your Hireability.
  • Make Yourself a Valuable Asset
  • Get Your Long-awaited Promotion.
  • Boost Your Pay-scale
  • Better Your Productivity

Certification:

Once you have successfully completed the SQL data science course, you will receive a PDF certificate completely free of cost as a proof of your accomplishment. The hardcopy certificate is also available for the cost of £9.99. UK students are required to pay a £10 as a delivery fee, while international students have to pay £19.99 for the shipment of a hardcopy certificate to their designated address.

Who is this SQL Data Visualization Course for?

This SQL Data Visualization Course with Certificate is developed for people who wish to excel in their professional and personal life. Learn from industry leaders and interact with a global network of experts by enrolling in this Data analytics and visualization certificate course.

Requirements

Enrolling in our SQL for Data Science, Data Analytics and Data Visualization course does not require any prior knowledge or experience. All that is required is an internet-connected gadget and a passion to learn.

Career Paths in SQL and Data Analytics

Completing this data analysis and visualisation course can support your development towards the following careers:

  • Data Analyst
    Uses SQL to retrieve, clean and analyse datasets before producing reports and dashboards that support business decisions.
    Average salary: Approximately £38,700 per year

  • SQL Developer
    Writes and optimises SQL queries, stored procedures and database structures for applications and reporting systems.
    Average salary: Approximately £47,200 per year

  • Data Engineer
    Develops and maintains data pipelines, warehouses and ETL processes that supply information to analytics and business intelligence tools.
    Average salary: Approximately £62,700 per year

  • Business Intelligence Developer
    Creates SQL-based data models, reports and interactive dashboards using tools such as Power BI and Tableau.
    Average salary: Approximately £45,000 to £53,000 per year

  • Database Administrator
    Manages, secures and optimises SQL databases while overseeing backups, availability and performance.
    Average salary: Approximately £45,000 to £55,000 per year

  • Data Scientist
    Combines SQL, statistics and machine learning to analyse large datasets, identify patterns and develop predictive models.
    Average salary: Approximately £55,600 per year

Certification:​

Once you have successfully completed this course, you can order a certificate as proof of your achievement.

A PDF certificate is available for £5.99. You can also request a hardcopy certificate for £9.99.

Delivery of the hardcopy certificate is free within the United Kingdom. For international learners, an additional delivery charge will apply based on the destination country.

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I have studied a few courses and have found the whole experience quick and efficient, and believe the courses will help contribute to my job in the Healthcare. Fabulous!

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A clear and concise course

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