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Overview

Introduction to SQL is an essential course designed to equip learners with the foundational skills needed to manage and query databases. SQL is the backbone of modern data management systems, and this course provides practical knowledge of the key commands and functions used in real-world applications, benefiting both technical and non-technical professionals.

This course is ideal for beginners or anyone looking to enhance their career in data management, analysis, or development. It’s particularly useful for those working in fields such as business analysis, data science, and software development, helping learners build essential skills for handling and manipulating data effectively.

This 1 Day course provided by MPES helps learners develop a strong foundation in SQL, which is crucial for a wide range of career paths in data and IT. By mastering SQL commands, learners can confidently analyse, manage, and retrieve data, making them more competitive in data-driven roles across various industries.

 

Course Objectives

  • Understand basic SQL syntax and structure
  • Learn to query data from databases
  • Master key SQL commands like SELECT, INSERT, UPDATE, and DELETE
  • Gain knowledge of database management and organisation
  • Practice creating and modifying database tables
  • Learn to filter and sort data
  • Understand relational database concepts

By the end of this course, learners will be able to confidently use SQL to manage and query databases, a valuable skill for roles in data management, analysis, and IT. They will also have the ability to implement SQL commands in real-world scenarios to extract meaningful insights from data effectively. 

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Average completion time

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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    • Educational Background: There are no specific educational requirements for this course. 

    • Language Proficiency: Learners should have a good command of English, as all course materials, assessments, and discussions are conducted in English.  

    • Interest in SQL: This course is ideal for individuals with a keen interest in learning and building SQL Databases 

Learning Outcomes

    • Master SQL Syntax: Learn the fundamentals of SQL syntax, enabling learners to write clear, efficient queries for data retrieval and management. 

    • Database Querying: Gain the ability to query databases using key SQL commands such as SELECT, JOIN, and WHERE to extract relevant data. 

    • Data Manipulation: Understand how to insert, update, and delete data within a database, ensuring accurate and efficient data management practices. 

    • Database Design: Learn how to create and modify database tables, designing a structured and organised database that supports efficient data retrieval. 

Target Audience

    This course is ideal for beginners and professionals seeking to enhance their data management skills and advance their careers in fields involving databases and data analysis.

    • Data Analysts
    • Business Analysts
    • Software Developers
    • IT Professionals
    • Database Administrators
    • Data Scientists
    • Financial Analysts

Course content

    Module 1: SQL-An Overview

    • DBMS and RDBMS
    • Introduction to SQL
    • SQL Environmental Setup

     

    Module 2: Data Constraint, Keys and Datatypes

    • Introduction
    • Constraints
    • Keys
    • Data types

     

    Module 3: Normalisation

    • What is Normalisation?
    • Types of normalisation

     

    Module 4: Creating Databases and Tables

    • Types of SQL Commands
    • DDL Statements
    • DML Statements
    • TCL Statements

     

    Module 5: Clauses and Aggregate Functions

    • Group by Clause
    • Aggregate Functions
    • Where Clause
    • Having and Order by Clause
    • Distinct Clause

     

    Module 6: Joins

    • Aliases
    • Joins
    • Inner Join
    • Outer Join
    • Right Outer Join

     

    Module 7: Views

    • Introduction to Views
    • Advantages
    • Types of Views
    • Simple View
    • Complex View
    • Operations

     

    Module 8: Triggers

    • Introduction to Triggers
    • Advantages
    • Disadvantages
    • Hands-on

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

Need help with your ACCA course?

Our course advisors are here to help guide you and ensure that you choose the right course for you and your career journey.

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is SQL and why is it important?

SQL (Structured Query Language) is the standard programming language used to manage and manipulate databases. It allows professionals to retrieve, update, and manage data efficiently. Mastering SQL is essential for various roles in data management, analytics, and development, enabling professionals to work with large datasets and perform complex data analysis tasks in many industries. 

Q. How will this course help my career?

This course provides you with practical SQL skills that are highly valued across industries. By learning SQL, you can enhance your employability in data-driven roles such as data analysis, software development, and business intelligence. Mastering SQL makes you more competitive in today's data-centric job market and opens up career advancement opportunities. 

Q. Can I apply what I learn in this course to real-world projects?

Yes, the course is designed to teach practical SQL skills that can be applied to real-world scenarios. You will learn how to write SQL queries to retrieve and manipulate data, work with relational databases, and perform tasks like data sorting, filtering, and analysis. These skills are directly applicable in various industries, including finance, IT, and marketing. 

Q. Will this course help me with database management?

Absolutely! This course covers key concepts of database management, such as creating, modifying, and maintaining databases. You will learn how to structure databases, manage data efficiently, and use SQL commands to retrieve and manipulate data, ensuring that you can handle real-world database management tasks effectively. 

Q. Is this course suitable for beginners?

Yes, this course is designed for beginners, with no prior experience in SQL required. It introduces the basic concepts and gradually builds up your skills. Whether you are new to databases or looking to enhance your existing knowledge, this course will provide you with the essential tools to become proficient in SQL and database management. 

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

Course Schedule

£3495

Introduction to SQL

28th June 2024

28th June 2024

(1 days)

DELIVERY METHOD

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Introduction to SQL

18th October 2024

18th October 2024

(1 days)

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£1295

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Mon 8th Jan 2024

Mon 8th Jan 2024

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Mon 22nd Jan 2024

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£1295

Introduction to SQL

Mon 5th Feb 2024

Mon 5th Feb 2024

Duration - 1 Days

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£1295

Introduction to SQL

Mon 19th Feb 2024

Mon 19th Feb 2024

Duration - 1 Days

DELIVERY METHOD

Virtual