Introduction to SQL and Microsoft SQL Server

Course Dates: 16/10/22 - 23/10/22
Time: 10:00 - 17:00
Location: Keeley Street
An in depth knowledge of an SQL Relational Database Management System (RDBMS) and of Structured Query Language (SQL) are not just vital skills required by Database Developers and Administrators but are also indispensable tools needed by the modern Software Developer, Data Analyst and Data Scientist. On this course you will learn to create, manage and query relational databases using SQL.
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Full fee £219.00 Senior fee £175.00 Concession £142.00

Course Code: CMSQL02

Sun, day, 16 Oct - 23 Oct '22

Duration: 2 sessions (over 2 weeks)

Or call to enrol:020 7831 7831

Lines open Monday-Friday 12:00-18:00

Please note: We offer a wide variety of financial support to make courses affordable. Just visit our online Help Center for more information on a range of topics including fees, online learning and FAQs.

What is the course about?

Using the free version of Microsoft SQL Server, one of the top 3 Relational Database Management Systems used by 98 of the Fortune 100 companies we will cover all the necessary skills to build, maintain and interrogate a relational database system.

What will we cover?

The fundamental building block of a relational database is the table. We will use SQL to produce a series of tables and link them to build an efficient storage system for our data that avoids data duplication and redundancy. We will also learn how to maintain data once stored in our database using the Data Manipulation Language components of SQL.

Finally, we will learn how to interrogate our database, an activity central to nearly all organisations, to carry out mission critical tasks such as inventory management, order processing, tracking and booking amongst many others. We also need these skill to for the business intelligence process, data science and analysis.

What will I achieve?
By the end of this course you should be able to...

• Define key terminology and concepts related to all RDBMS
• Use the Data Definition Language commands in SQL to create a series of linked database tables that can store data of various data types
• Use the Data Manipulation Language commands in SQL to add, update and delete data stored across related tables
• Use the Data Query Language commands in SQL to interrogate our data, including using:-
• Join operations
• Logical and comparison operations
• Fuzzy Search
• The Null operator
• Date functions
• Created aliases and calculated fields with the data in our tables
• Format currency and dates.

What level is the course and do I need any particular skills?

Though the course does not require any previous knowledge of SQL or Relational Database Management Systems it is quite fast paced and you will not only need good computing skills and a high level of typing accuracy, but would also benefit from having some experience in coding, (it doesn’t matter which language), such as having attended one of our many Python or HTML and CSS courses. If you haven’t coded before you might consider our Beginner's Guide to SQL course first as an introduction to the topic.

You should also be able to follow spoken instructions, read written instructions and information, and discuss work with your tutor in English.

How will I be taught, and will there be any work outside the class?

There will be some theoretical underpinning to the course, but it is nearly all practical, through tutor demonstration and practical programming and problem solving activities. There is no official work set outside the class but it is a good idea to practise the skills you have learnt to reinforce classroom learning.

Are there any other costs? Is there anything I need to bring?

There are no additional costs. Please note that Microsoft SQL Server runs on Windows only; you will need access to a computer that can run it during the course.

When I've finished, what course can I do next?

Please click here to view our Programming and Maths courses.

Amit Dodhia

Amit is an entrepreneur currently working on an immersive content technology concept within the Launchpad incubator at Falmouth university. He completed a Masters in Advanced Computing with a specialisation in Data Analytics from Birbeck College, University of London where his final thesis investigated the use of NLP and machine learning on tweets to predict the price of Bitcoin. Amit also holds a Masters in Electronic and Information Engineering from Imperial College London. Prior to joining Launchpad, he has worked as a Data Analyst, Business Analyst and Project Manager at various startups, in the social sector, and within fintech and eCommerce spaces. Earlier in his career, he taught English in Brazil to students of all ages and spent a number of years working in East Africa as a Business Developer within manufacturing, trading and online retail spaces. His experience includes programming (Python, R, and C#), databases (relational databases and graph), an in-depth understanding of using various machine learning and predictive modeling techniques, and the use of data visualisation tools such as Looker and Tableau.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.