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Course Overview
Learn how to make a genuine difference in your life by taking our popular SQL for Data Science, Data Analytics and Data Visualization. Our commitment to online learning and our technical experience has been put to excellent use within the content of these educational modules. By enrolling today, you can take your knowledge of SQL for Data Science, Data Analytics and Data Visualization to a whole new level and quickly reap the rewards of your study in the field you have chosen.
We are confident that you will find the skills and information that you will need to succeed in this area and excel in the eyes of others. Do not rely on substandard training or half-hearted education. Commit to the best, and we will help you reach your full potential whenever and wherever you need us.
Please note that SQL for Data Science, Data Analytics and Data Visualization provides valuable and significant theoretical training for all. However, it does not offer official qualifications for professional practice. Always check details with the appropriate authorities or management.
Learning Outcomes
Your Path to Success
By completing the training in SQL for Data Science, Data Analytics and Data Visualization, you will be able to significantly demonstrate your acquired abilities and knowledge of SQL for Data Science, Data Analytics and Data Visualization. This can give you an advantage in career progression, job applications, and personal mastery in this area.
Is This Course Right for You?
This course is designed to provide an introduction to SQL for Data Science, Data Analytics and Data Visualization and offers an excellent way to gain the vital skills and confidence to start a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Full-time and part-time learners are equally supported, and the study periods are entirely customisable to your needs.
Assessment Process
Once you have completed all the modules in the SQL for Data Science, Data Analytics and Data Visualization course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.
Show off Your New Skills with a Certification of Completion
The learners have to successfully complete the assessment of this SQL for Data Science, Data Analytics and Data Visualization course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. Learners can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39.
SQL for Data Science, Data Analytics and Data Visualization | |||
Section 01: Getting Started | |||
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 02: SQL Server setting up | |||
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 | ||
Section 03: SQL Azure Data Studio | |||
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 04: SQL Database basic SSMS | |||
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 05: SQL Statements for DATA | |||
Section Introduction | 00:01:00 | ||
Insert statement | 00:08:00 | ||
Update statement | 00:05:00 | ||
Delete statement | 00:03:00 | ||
Section 06: SQL Data Structure statements | |||
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 | ||
Section 07: SQL User Management | |||
Create Database user | 00:04:00 | ||
GRANT permissions | 00:06:00 | ||
REVOKE permissions | 00:04:00 | ||
Section 08: SQL Statement Basic | |||
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 | ||
Section 09: Filtering Data rows | |||
SELECT WHERE Clause – theory | 00:04:00 | ||
SELECT WHERE Clause – practical | 00:07:00 | ||
Section 10: Aggregate functions | |||
Sum() | 00:08:00 | ||
Min()-Max() | 00:06:00 | ||
Section 11: SQL Query statements | |||
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 12: SQL Group by statement | |||
Section Introduction | 00:01:00 | ||
Group by – theory | 00:03:00 | ||
Group by – practical | 00:05:00 | ||
HAVING statement | 00:04:00 | ||
Section 13: JOINS for Multiple table Data Analysis | |||
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 14: SQL Constraints | |||
Section introduction | 00:01:00 | ||
Check constraint | 00:07:00 | ||
NOT NULL constraint | 00:08:00 | ||
UNIQUE constraint | 00:05:00 | ||
Section 15: Views | |||
Creating Views | 00:04:00 | ||
Reporting with multiple tables | 00:03:00 | ||
Section 16: Advanced SQL commands | |||
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 | ||
Section 17: SQL Stored procedures | |||
Create stored procedure | 00:05:00 | ||
Stored procedure with parameter | 00:04:00 | ||
Section 18: Azure Data Studio Visualization | |||
Installing SandDance Extension | 00:03:00 | ||
Visualization Charts | 00:05:00 | ||
Multiple Table Data Charts | 00:06:00 | ||
Section 19: Azure Studio SQL for Data Analysis | |||
Type Decision for Data Analysis | 00:13:00 | ||
Data Analysis with Case Statement and String Text | 00:09:00 | ||
Section 20: Import & Export data | |||
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 21: Backup and Restore Database | |||
Section Introduction | 00:01:00 | ||
Creating Database backup | 00:04:00 | ||
Restoring Database backup | 00:04:00 | ||
Order Your Certificate. | |||
Order Your Certificate | 00:00:00 |
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