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The aim of the Module:
The aim of the “Analytics Algorithms for Customers Big Data” module is to
provide start-uppers with knowledge about the process of examining large and
varied data sets (Big Data), to uncover information that can help their
organizations make informed business decisions through the use of Analytics and
Search Engines.

Time duration: 5 weeks (5 hours of self-study per week; 25 hours in total)
ECVET: 1 point

Length of • 20 pages of study materials divided into 6 chapters,
material: • after completion of each chapter, the participant will

be asked to complete different exercises.
Learning objectives of the Module:

• To provide knowledge of Big Data and Customer Analytics.
• To understand how this data can inform business decisions.
• To describe the main tools used to predict customer behaviour.
• To understand how this data can inform business decisions.
• To offer explanation on the latest best practices at other start-ups.
• to develop knowledge and skills through engaging a project set around
challenges and problems they may face in the real world.

Learning outcomes of the Module:
• to understand the term Big Data and its different sources;
• to gain knowledge of Customer Analytics and the various terms and
concepts involved.
• to learn about the different types of Customer Analytics and insights;
• to understand the Data Cycle
• to learn how Search Engines work;
• to gain knowledge about SEO and SEM;
• to be competent in using analytics tools;
• to be competent in Search Engine tools;
• to be competent in creating a Data Analytics Framework.
Teaching methods of the • Game-based learning
Module: • Student-centre learning
• Project based learning

Teaching tools used: • Videos
• Quizzes and online test
• Interactive exercises

Programme: Erasmus+
Key Action: Cooperation for innovation and the exchange of good practices
Action Type: Strategic Partnerships for vocational education and training
Project Number: 2019-1-PL01-KA202-065209
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