Knowledge Discovery – Data Mining and Big Data

Introduction

This workshop provides participants with concepts of Big Data, importance of Big Data and its applications in business world. Participants will learn how to discover new knowledge by using Data-Mining, the core technique in Big Data. For this Unit, algorithm in Data Mining will not be discussed hence, all practical exercises will use MS Excel. No advanced arithmetic and knowledge in Excel are required.

Who should attend?

Anyone interested in knowing the Data Analysis (simple data-mining) in Knowledge Discovery and learn how companies using them to their competitive advantages.

Teaching Methodology

1. Lectures
2. Case studies
3. Hands-on exercise

Certification

• Certificate of Successful Completion will be awarded to students who
  have achieved the attendance criteria.
  

Course Outline

1. What is Big Data and how big is big?
2. Examples of Big Data applications.
3. DIKW Model
4. Simple Data Mining concept and theories.

Hands-on workshop on data analysis/mining by using MS Excel.

• Conduct transactions analysis
• Carry out “Market Basket” Analysis (Apriori Algorithm)
• Predict results by Classification

Requirements

• Basic understanding and use of MS Excel.
• It is recommended to bring your own portable PCs (SSI will provide limited PCs in classroom, first come for enrollment, first served)