SQL for Data Science, Data Analytics and Data Visualization

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SQL for Data Science, Data Analytics and Data Visualization

SQL for Data Science, Data Analytics and Data Visualization

Level: Intermediate
Modules: 98 Modules
Duration: 7 hours, 15 minutes
Students: 9

This comprehensive course, “SQL for Data Science, Data Analytics, and Data Visualization,” covers essential SQL concepts and tools for working with data. Participants will learn to manipulate, analyze, and visualize data using SQL Server, Azure Data Studio, and other relevant tools. The course also delves into advanced SQL commands, stored procedures, and data import/export, making it ideal for aspiring data professionals.

Learning Outcomes:

Set up and configure SQL Server and SQL Azure Data Studio for data analysis.
Master SQL statements for data manipulation, data structure, and user management.
Utilize SQL queries, joins, and aggregate functions for efficient data analysis.
Understand SQL constraints, views, and advanced commands for in-depth data exploration.
Create and implement SQL stored procedures to automate tasks.
Leverage Azure Data Studio for data visualization and perform data analysis with SQL.

Why buy this SQL for Data Science, Data Analytics and Data Visualization?

Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the SQL for Data Science, Data Analytics and Data Visualization there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.

Who is this course for?

This SQL for Data Science, Data Analytics and Data Visualization course is ideal for

Students
Recent graduates
Job Seekers
Anyone interested in this topic
People already working in the relevant fields and want to polish their knowledge and skill.

Prerequisites

This SQL for Data Science, Data Analytics and Data Visualization does not require you to have any prior qualifications or experience. You can just enrol and start learning.This SQL for Data Science, Data Analytics and Data Visualization was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This SQL for Data Science, Data Analytics and Data Visualization is a great way for you to gain multiple skills from the comfort of your home.

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
	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 Databases8	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 – theory8	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