This course offers a 10 week experience to explore the theoretical foundation of data analytics and a range of data analytic processes and techniques to provide hands-on experience to enhance your skills. Topics included in this unit are data analytic terminologies, types of data analytics, data exploration and visualisation, understanding data with descriptive, predictive and prescriptive analytics.

This course is delivered for 3 hours per week face to face for 10 weeks, term time only. In addition to this all learners are required to undertake 2 hours a week of independent study.

This course is suitable for anyone who is considering a career in IT with a particular interest in data and support companies to develop the use of data systems to support their services.

This qualification is designed to open you up to a career in technology and provide you with the skills and confidence to apply for one of the tens of thousands unfilled vacancies in technology advertised in the UK every week.

Discuss the theoretical foundation of data analytics that determine decision making processes in management or business environments.

Apply a range of descriptive analytic techniques to convert data into actionable insight using a range of statistical techniques.

Investigate a range of predictive analytic techniques to discover new knowledge for forecasting future events.

Demonstrate prescriptive analytic methods for finding the best course of action for a situation.

You will be assessed through classwork with an expectation that this will be completed in your own time out of lesson.

Digital equipment including computers and software will be provide for use in lessons. It is recommended that you have access to a computer to complete any work or research in your own time

You will achieve a college certificate for the completion of Data Analytics Level 4.

Students completing this course usually go on to further study in one of our other Level 4 short courses, CompTIA courses or our level 3 Software Development or level 5 Web Application Development. All courses are available on our website.

Applications to university can be made as adults however, this course is designed to support employment and progression in career roles.

This course can lead to carers in:

• Data Analyst.
• Data Engineer.
• Data Scientist.
• BI Developer (Business Intelligence)
• BI Analyst (Business Intelligence)
• Data Architect.
• Data Warehouse Developer.

A minimum of experience in the work place within IT or an academic qualification in IT / professional qualification in IT.

Funding may be available to support your learning as an adult (aged 19+) studying at Dudley College. Check out the Financial Support guidance for more information.