Big Data Courses in London and Online
Businesses collect vast amounts of data every day. The data can be big, complex, and difficult to extract and analyse. However, as data grows in a business every single day, it's not the amount of data that's important, it's what organisations do with Big Data that really matters. The insights and actions that can be gleaned from Big Data can make a dramatic difference in how a business operates.
Join one of our courses and learn how to handle, analyse and extract big data sets using SQL and Microsoft SQL Server or Python. Our tutors are highly qualified industry-based professionals with a record of accomplishments in delivering these subjects in colleges and higher education institutions.
Our courses are flexible, designed to fit around your personal and work life. Choose between daytime, evening, and weekend formats. Ideally, you'll already have some computer experience, though SQL and Python experience is not required. Most courses are delivered online. For more information about our tutor-led interactive online courses please see our guide to online learning.
Browse our Big Data courses below and enrol today!
Course Date: Thu 18 Feb 2021 (and 1 other date)
Location on this date: OnlineAn 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.
This course is FREE if a) You are on a Low Wage or b) You are either on Jobseekers' Allowance (JSA) or Employment & Support Allowance(ESA) or c) You receive other state benefits (including Universal Credit). For more information click here
This course will be delivered online. See the ‘What is the course about?’ section in course details for more information.Full fee: £229.00Senior fee: £183.00Concession: £115.00
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