Data Analytics For Business Decision-Making

Robert Gordon University

United Kingdom, Aberdeen

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Robert Gordon University

United Kingdom , Aberdeen

Key Facts

Program Level

Certificate

Study Type

Part Time

Delivery

Online

Credit point

15 Points

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake Deadlines19-Sep-2022

Apply to this program

Go to the official application for the university

Duration 10 week(s)

Tuition Fee

GBP 880 / year

Next Intake 19-Sep-2022

Data Analytics For Business Decision-Making

About

Gain greater insight from your data with this short course in Data Analytics for Business Decision-Making. In the â€˜age of analyticsâ€™ where data is often said to be the new oil, having the tools and techniques to manage and analyse data effectively is essential.

Join us on this short course where you will diveintothe world of data analysis, modelling and visualisation. The course will help you leverage the benefits of data analytics for business and explore the opportunities that different technologies and software present. Develop your skill-set, leverage more value from your data and upskill in analytics with this 10 week course.

This short course aims to provide an understanding of the principles of data and business analytics. Using real-life scenarios, you will learn to apply analytics processes, algorithms and methodologies to business problems using data to make informed business decisions.

We will provide you with the skills and knowledge required to understand the data analytics and data mining lifecycle (CRISP-DM). You will explore the roles and responsibilities in business analytics and learn how develop a data-driven strategy. A broad overview of key concepts and principles including descriptive analytics and predictive analytics will be provided. You will develop the ability to present data in an appropriate format for a range of audiences.

This short course can be completed in 10 weeks. Students are expected to take eight weeks to complete online materials and thenwork on a real-world project for themselves or their company/ organisation.

On completion of this course, students are expected to be able to:

Demonstrate an understanding of CRISP-DM and all stages of the Data Mining Life Cycle
Analyse a range of data types
Approach business problems using data analytics
Apply business analytics tools to generate business insights
Present data in an appropriate format for a range of stakeholders

Upskilling Courses

In partnership with the Scottish Funding Council (SFC), our online upskilling short courses have been developed in response to feedback from businesses regarding their people and skills needs and are therefore helpful for individuals considering their employment options as well as organisations looking to upskill their employees. Find out more:

Upskill with our online short courses

Learning Methods

There is ashort online induction session where you canget to know your classmates and learn more about the aims and structure of the course. You will thenembark on approximately 8 weeks of study delivered online. Teaching is broken down into short manageable lessons (approximately 40 minutes) and activities (approximately 2hrs per week) that you can study in your own time and at your own pace. While studying online you will have access to your tutor, who will be able to answer any questions you may have.

As you progress through the course, you will be supported through online tutorials where you can discuss your progress with your tutor and class-mates, before looking at how to put your data analytics skills and knowledge into action through a project of your own. At the end of the ten week course, you will submit an applied data analytics coursework.

To complete this course you will need access to a modern laptop or computer running an up-to-date operating system and a reliable internet connection.

Assessment

Typically students are assessed through a portfolio assessment.

Independent Study

The majority of this course is completed through online independent study, it is expected that you will spend approximately 3-5 hours per week working on this module. Whilst you are studying independently you wonâ€™t be alone. Your tutor will be there to support you throughout the module.

Staff delivering on this course

This short course has been developed by a team with extensive academic and professional experience in Business and Data Analytics. The course team bring experience from Business Analytics, Information Management, Communications, Marketing and Computing Science. Having previously developed the MSc Business Analytics and with extensive professional and academic experience in related areas, the course team brings a wealth of knowledge to this exciting growth area.

Requirements

Entry Requirements

Applications will be considered on a case by case basis, please contact Admissions for information: admissions@rgu.ac.uk
Applicants who do not hold an International High School qualification will be expected to undertake a pathway programme at our International College

English Program Requirements

Most undergraduate courses require an IELTS score of 6.0, with a minimum of 5.5 in each area. Some courses require a higher English language score. Always check the relevant course page and our English Language Requirements page before applying.

Fee Information

Tuition Fee

GBP 880

How to Apply

Completing an existing course (for example passing your Bachelors before coming to do a Masters with us). Please upload your degree documents to your Apply Yourself record or email the Admissions Office with these.
Proving that your English language is good enough for University-level study. In this case you should send us a copy of your IELTS or TOEFL certificate as soon as it is available. Please upload these documents to your Apply Yourself record or email the Admissions Office with these.
Making a pre-payment (deposit) for international students. In this case you must arrange to pay the University before we can release an Unconditional Offer. To find out how to do this, please visit the Making Payment page.