Mr. Kento Tsang Tel: 2919 1429 email: ttk2018@vtc.edu.hk
Target Audience:
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 platforms, data modelling, virtualization and analytics. Participants are expected to get familiar with different big data platforms, programming methodologies and virtualization tools for analytics. The programme provides an insight on how business world is using Big Data to improve their business models.
Course Contents
1. Concepts of Data Analytics
Basic elements of data analytics
Data Analytics life cycle
Modeling and predictive analytics
2. Useful programming technique in Predictive Analysis
Predictive technique in R
Predictive technique in Python
3. Introduction to Machine Learning
Supervised and unsupervised learning
Principles of machine learning algorithms
4. Machine Learning Libraries
Classification model
Regression model
Clustering model
Case Study
5. Introduction to Neural Network
Foundation concept in Neural Network
Principles of Neural Network algorithms
6. Machine Learning Libraries
LSTM
DFF
RNN
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