Overview
This comprehensive course on SQL for Data Science, Data Analytics and Data Visualization will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This SQL for Data Science, Data Analytics and Data Visualization comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast-track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is this course for?
There is no experience or previous qualifications required for enrolment on this SQL for Data Science, Data Analytics and Data Visualization. It is available to all students, of all academic backgrounds.
Requirements
Our SQL for Data Science, Data Analytics and Data Visualization is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career path
Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to—
- Open doors of opportunities
- Increase your adaptability
- Keep you relevant
- Boost confidence
And much more!
Course Curriculum
- 23 sections
- 46 lectures
- 00:00:00 total length
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Introduction55 00:03:00 -
How to get course requirements 00:03:00
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Getting started on Windows, Linux or Docker 00:01:00
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How to ask great questions 00:01:00
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FAQ’s66 00:01:00
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Section Introduction 00:01:00
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Microsoft SQL Server Installation 00:02:00
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SQL Server Management Studio (SSMS) Installation 00:08:00
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How to connect MS SQL (Windows Authentication) 00:04:00
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How to connect MS SQL (SQL Server Authentication) 00:03:00
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Download and Restore Sample Database 00:07:00
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What is Azure Data Studio 00:06:00
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Azure Data Studio Installation steps 00:07:00
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Azure Data Studio to Connect SQL Server 00:09:00
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Create a Database 00:07:00
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Create a Table 00:09:00
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Insert Data rows 00:07:00
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View the Data returned by Query 00:03:00
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Section Introduction 00:01:00
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Overview of Databases 00:11:00
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Creating Database 00:05:00
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SQL Data Types 00:03:00
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Column Data Types on SSMS 00:04:00
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Creating Table 00:09:00
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Overview of Primary Key and Foreign Key 00:04:00
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Primary Key 00:04:00
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Foreign Key 00:07:00
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Creating Temporary tables 00:06:00
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Section Introduction 00:01:00
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Insert statement 00:08:00
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Update statement 00:05:00
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Delete statement 00:03:00
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Section Introduction 00:01:00
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CREATE table statement 00:03:00
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DROP statement 00:02:00
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ALTER statement 00:05:00
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TRUNCATE statement 00:04:00
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COMMENT in query 00:01:00
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RENAME 00:02:00
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Create Database user 00:04:00
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GRANT permissions 00:06:00
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REVOKE permissions 00:04:00
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Section Introduction 00:01:00
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SQL Statement basic 00:03:00
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SELECT Statement 00:07:00
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SELECT DISTINCT 00:03:00
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SELECT with column headings 00:03:00
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Column AS statement 00:02:00
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SELECT WHERE Clause – theory 00:04:00
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SELECT WHERE Clause – practical 00:07:00
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Sum() 00:08:00
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Min()-Max() 00:06:00
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Order By statement 00:05:00
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SELECT TOP clause in SQL 00:04:00
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BETWEEN command 00:08:00
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IN operator 00:04:00
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Wildcard Characters and LIKE 00:05:00
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Section introduction 00:01:00
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Group by – theory 00:03:00
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Group by – practical 00:05:00
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HAVING statement 00:04:00
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Overview of Joins 00:01:00
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What are Joins 00:02:00
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Inner join 00:08:00
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Left outer join 00:03:00
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Right outer join 00:02:00
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Full outer join 00:01:00
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Union 00:03:00
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Cartesian Product with the Cross Join 00:03:00
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Query Exercise 00:01:00
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Solution for Query Exercise 00:01:00
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Section Introduction 00:01:00
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Check constraint 00:07:00
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NOT NULL constraint 00:08:00
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UNIQUE constraint 00:05:00
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Creating Views 00:04:00
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Reporting with multiple tables 00:03:00
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Section Introduction 00:01:00
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Timestamp 00:04:00
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Extract from timestamp 00:03:00
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Mathematical scalar functions 00:04:00
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String functions 00:05:00
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Sub Query 00:03:00
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SELECT with calculations 00:06:00
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Create stored procedure 00:05:00
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Stored procedure with parameter 00:04:00
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Installing SandDance Extension 00:04:00
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Visualization Charts 00:05:00
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Multiple Table Data Charts 00:06:00
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Type Decision for Data Analysis 00:13:00
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Data Analysis with Case Statement and String Text 00:09:00
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Section Introduction 00:01:00
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Import Flat File 00:05:00
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Import .csv or excel file 00:03:00
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Export Data to Excel or any format 00:06:00
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Section Introduction 00:01:00
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Creating Database backup 00:04:00
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Restoring Database backup 00:04:00
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Order Your Certificate 00:00:00
SQL for Data Science, Data Analytics and Data Visualization
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£21.99
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ALL COURSES FOR - £99 This course includes:
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Duration:6 hours, 57 minutes
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Access:1 year access
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Level:Intermediate
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CPD Points:10
