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SQL for Data Science, Data Analytics and Data Visualisation

SQL for Data Science, Data Analytics and Data Visualisation

Want to master SQL for data science? Learn SQL for Data Science Data Analytics and Data Visualisation skills & advanced techniques here!

Enrolled Students: 10

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Overview of SQL for Data Science, Data Analytics and Data Visualisation

Join our SQL for Data Science, Data Analytics and Data Visualisation course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The SQL for Data Science, Data Analytics and Data Visualisation course has everything you need to get a great start in this sector.

Improving and moving forward is key to getting ahead personally. The SQL for Data Science, Data Analytics and Data Visualisation course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now!

Get a Quick Look at The Course Content:

This SQL for Data Science, Data Analytics and Data Visualisation Course will help you to learn:

This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this SQL for Data Science, Data Analytics and Data Visualisation. Enrol today and complete the course to achieve a certificate that can change your career forever.

Details

Perks of Learning with IOMH

One-to-one support from a dedicated tutor throughout your course.
Study online — whenever and wherever you want.
Instant digital/ PDF certificate.
100% money back guarantee.
12 months access.

Process of Evaluation

After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate.

Certificate of Achievement

Certificate of Completion – Digital / PDF Certificate

After completing the SQL for Data Science, Data Analytics and Data Visualisation course, you can order your CPD Accredited Digital/ PDF Certificate for £5.99.

Certificate of Completion – Hard copy Certificate

You can get the CPD Accredited Hard Copy Certificate for £12.99.

Shipping Charges:

- Inside the UK: £3.99
- International: £10.99

Who Is This Course for?

This SQL for Data Science, Data Analytics and Data Visualisation is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.

On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.

This course has been developed with maximum flexibility and accessibility, making it ideal for people who don’t have the time to devote to traditional education.

Requirements

You don’t need any educational qualifications or experience to enrol in the SQL for Data Science, Data Analytics and Data Visualisation course.

Do note: You must be at least 16 years old to enrol.

Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course.

Career Path

The certification and skills you get from this SQL for Data Science, Data Analytics and Data Visualisation Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors.

Frequently Asked Questions

Q. How do I purchase a course?

1. You need to find the right course on our IOMH website at first. You can search for any course or find the course from the Courses section of our website.
2. Click on Take This Course button, and you will be directed to the Cart page.
3. You can update the course quantity and also remove any unwanted items in the CART and after that click on the Checkout option and enter your billing details.
4. Once the payment is made, you will receive an email with the login credentials, and you can start learning after logging into the portal.

Q. I have purchased the course when will I be able to access the materials?

After purchasing the course, you should receive an email with the login credentials within 24 hours. Please check your spam or junk folder if you didn’t receive it in your inbox. You can access your courses by logging into your account. If you still need any assistance, please get in touch with our Customer Support team by providing the details of your purchase.

Q. I haven't received my certificate yet. What should I do?

You should receive your Digital Certificate within 24 hours after placing the order, and it will take 3-9 days to deliver the hard copies to your address if you are in the UK.

For International Delivery, it will take 20-25 days.

If you require any assistance, get in touch with our dedicated Customer Support team, and your queries/issues will be dealt with accordingly.

Q. I don't have a credit/debit card, what other methods of payment do you accept?

You can make the payment using PayPal or you can Bank Transfer the amount.

For Bank transfer you will require an invoice from us and you need to contact our Customer Support team and provide details of your purchase to get the invoice.

After that, you will receive an email with the invoice and bank details and you can make the payment accordingly.

Q. Can I do the courses from outside UK?

We are an online course provider, and learners from anywhere in the world can enrol on our courses using an internet-connected device.

Q. When I log into the account it says 'Contact Administrator'.

To resolve this issue, please log out of your account and then log back in.

Course Curriculum

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
	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()	00:07:00
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	00:00:00
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