Those who are interested in big data analytics, IoT and the career of a Data Scientist
Prerequisites
To benefit most from the course, participants are expected to have some basic knowledge of programming such as Python.
Introduction
The course aims to provide students with knowledge in Big Data analysis techniques, managing a data project and corresponding knowledge discovery in Big data. Participants are expected to get familiar with useful programming languages for big data application, data mining skills, and visualization tools for analytics. The programme provides an innovative method to drill knowledge for the improvement of business judgments.
Course Contents
1. Concepts of big data
Definition of Big Data
Characteristics of Big Data
Business Motivations and Drivers for Big Data Adoption
Big Data Adoption and Planning Considerations
Challenges for Big Data
2. Concept of Data Mining
Definition of Data Mining
Objectives of descriptive analysis
Major steps of Data Mining Approaches
3. Introduction to programming for Big data
Basic syntax of Big data programming languages
Standard coding style for Big Data programming script
4. Data Acquisition and preparation
Challenges on Collecting data
Possible solutions for challenges
ETL process
5. Practical Data model for descriptive analysis
Data modelling foundations
Data representation technique
Understanding pattern in model
6. Data Visualizations and fact finding
Selections of data model for dashboard
Dashboard Design
Fact find and storytelling techniques
Case study
Speaker Profile
Mr Benson Lau has ample experience in the training and application of data science and analytics. He is the Lead Trainer of the IVE Big Data Team who have accomplished great achievements in various big data competitions.
Speaker Profile
Mr Benson Lau has much experience in the training and application of data science and analytics. He is also the Lead Trainer of the IVE Big Data Team in various big data competitions. The team members accomplished great achievements in different big data competitions such as the first prize and second prize in TipDM Cup Data Analysis Vocational Skills Competition co-organized by TipDM and National University Big Data Education Alliance.