A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data.
Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power.
Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).
Please note that places are limited.
EoI applications close on Tue Feb 27 2018 (places are now filled, we'll keep your application for consideration in future) and applicants will be notified by Tue Mar 06 2018 whether their application has been successful.
You'll learn how to:
● Understand and compose a query using SQL● Use the SQL syntax to select, sort and filter data● Calculate new values from existing data● Aggregate data into sums, averages, and other operations● Combine data from multiple tables● Design and build your own relational databases
WHO SHOULD ATTEND?
All researchers and research students.