Description

Nowadays, SQL Developers are in-demand and becoming a SQL developer can be a rewarding and fulfilling profession.

This SQL Masterclass: SQL for Data Analytic is intended for absolute beginners that concentrate on giving the appropriate knowledge of Microsoft SQL Server and help to acquire the skills and abilities to become an SQL Server developer as well as offer many job opportunities in the competitive job market.

In this course, you will learn how to create databases, tables, design databases and tables. You will also learn to create flat file database, confidently use SSMS Tool as well as write basic T-SQL Queries. In addition to that, learn to create constraints and views in the most dynamic way possible.

Enrol right now and start exploring SQL, the most popular relational database management system.

Entry Requirement:

This course is available to all learners, of all academic backgrounds.

Learners should be aged 16 or over to undertake the qualification.

Good understanding of English language, numeracy and ICT are required to attend this course.

Assessment:

At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful.

Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam.

Certification:

After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24.

Why choose us?

Affordable, engaging & high-quality e-learning study materials;

Tutorial videos/materials from the industry leading experts;

Study in a user-friendly, advanced online learning platform;

Efficient exam systems for the assessment and instant result;

The UK & internationally recognized accredited qualification;

Access to course content on mobile, tablet or desktop from anywhere anytime;

The benefit of career advancement opportunities;

24/7 student support via email.

Career Path

After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.

SQL for Data Analytic - Beginner Level
Module: 01
	Introduction	FREE	00:16:00
	Tools for Creating Views		00:11:00
	Examples		00:21:00
	Updating Data Using a View		00:13:00
	Columns and Indexed Views		00:18:00
Module: 02
	Introduction Stored Procedures		00:18:00
	Creating Stored Procedures		00:19:00
	Returning Data		00:14:00
Module: 03
	Testing and Debugging		00:17:00
	Execute with Result Sets		00:11:00
	Creating Triggers		00:26:00
Module: 04
	Overview and Scalar Functions		00:20:00
	Inline Table Valued Functions		00:11:00
	Multi Statement		00:16:00
	Views and Stored Procedures		00:18:00
Module: 05
	Transaction Concepts		00:30:00
	Applications and Transactions		00:13:00
	Creating Explicit Transactions		00:29:00
	Structured Error Handling		00:25:00
Module: 06
	Introduction to SQL CLR		00:08:00
	Writing SQL CLR Code		00:24:00
	Using SQL CLR Code		00:22:00
	SQL CLR Code		00:13:00
	SQL CLR Security		00:20:00
SQL for Data Analytic - Intermediate Level
Module: 07
	Topic A Aggregates	FREE	00:27:00
	Topic B User Defined Types		00:17:00
	Topic C Table and Functions		00:10:00
	Topic D Managing Code Modules		00:08:00
Module: 08
	Topic A Introduction Data Tools		00:19:00
	Topic B Connected Database Development		00:20:00
	Topic C Updating a Connected Database		00:16:00
Module: 09
	Topic A Creating New Objects with TSQL		00:12:00
	Topic B Comparing Database Schemas		00:10:00
	Topic C Offline Database Development		00:13:00
	Topic D Database Project Settings		00:18:00
Module: 10
	Topic A Using APPLY		00:15:00
	Topic B MERGE Statement		00:23:00
	Topic C Creating Recursive Queries		00:08:00
	Topic D Grouping Sets		00:12:00
Module: 11
	Topic A ROLLUP and CUBE Operators		00:12:00
	Topic B Creating Pivot Queries		00:14:00
	Topic C Executing Dynamic SQL		00:28:00
Module: 12
	Topic A Complex Query Execution		00:26:00
	Topic B Using Execution Plans		00:16:00
	Topic C Execution Plan Operators		00:12:00
	Topic D Common Join Operators		00:16:00
Module: 13
	Topic A Hierarchy ID Data Type		00:12:00
	Topic B Exploring a Hierarchy		00:09:00
	Topic C Sparse Columns		00:16:00
	Topic D Column Sets		00:12:00
Module: 14
	Topic A Filtered Indexes		00:09:00
	Topic B FILESTREAM Storage		00:22:00
	Topic C Adding Sequences to Queries		00:22:00
Module: 15
	Topic A Introduction to Spatial Data		00:13:00
	Topic B Spatial Data in SQL Server		00:23:00
	Topic C Manipulating Spatial Shapes		00:10:00
	Topic D Interactions Between Objects		00:09:00
SQL for Data Analytic - Advanced Level
Module: 16
	Topic A Partitioning	FREE	00:20:00
	Topic B Creating Partition Tables		00:30:00
	Topic C Querying Partitions		00:14:00
	Topic D Managing Partitions		00:17:00
Module: 17
	Topic A Complex Querying		00:22:00
	Topic B Rankings		00:15:00
	Topic C SubQueries		00:21:00
	Topic D Common Table Expressions		00:17:00
Module: 18
	Topic A Complex Data and Structures		00:26:00
	Topic B Efficient Queries		00:36:00
	Topic C Complex Queries		00:17:00
Module: 19
	Topic A XML Data Type		00:28:00
	Topic B XML Schemas		00:17:00
	Topic C Querying XML		00:20:00
	Topic D Best Practices		00:08:00

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SQL Masterclass: SQL for Data Analytic

By John Academy

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