Name: SQL for Data Science, Data Analytics and Data Visualization
Price: 25 GBP

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Curriculum

Overview:

Welcome to “SQL for Data Science, Data Analytics, and Data Visualization!” This course is designed to provide a comprehensive understanding of SQL (Structured Query Language) and its applications in data science, data analytics, and data visualization. SQL is a powerful tool for managing and querying relational databases, making it essential for anyone working with data. In this course, you’ll learn SQL from the ground up and explore its role in analyzing and visualizing data effectively.

Interactive video lectures by industry experts
Instant e-certificate and hard copy dispatch by next working day
Fully online, interactive course with Professional voice-over
Developed by qualified first aid professionals
Self paced learning and laptop, tablet, smartphone friendly
24/7 Learning Assistance
Discounts on bulk purchases

Main Course Features:

Detailed explanation of SQL syntax and commands for data manipulation and querying
Hands-on exercises and projects for practical application of SQL concepts
Exploration of advanced SQL techniques for data analysis and visualization
Integration of SQL with popular data visualization tools such as Tableau or Power BI
Real-world case studies and examples showcasing SQL’s applications in data science and analytics
Access to datasets and resources for practicing SQL queries and analysis
Supportive online community for collaboration and assistance throughout the course
Regular updates to keep pace with the latest advancements in SQL and data visualization technologies

Who Should Take This Course:

Data scientists, analysts, and professionals working with relational databases
Business analysts and decision-makers seeking to leverage SQL for data-driven insights
Students and professionals aiming to enhance their skills in data manipulation and analysis
Anyone interested in learning SQL for data science, analytics, and visualization applications

Learning Outcomes:

Master SQL fundamentals for data manipulation, querying, and analysis
Perform complex data analysis tasks using SQL queries and functions
Create interactive and visually appealing data visualizations with SQL and visualization tools
Develop advanced SQL skills for data exploration and visualization
Gain practical experience through hands-on exercises and projects
Build a portfolio of SQL-based data analysis and visualization projects
Communicate insights effectively through data visualization techniques
Stay updated with the latest trends and best practices in SQL and data visualization.

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.

Assessment

At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.

Course Curriculum

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