The Executive Certificate in Financial Decision Making: Big Data and Machine Learning programme aims to provide students with the fundamental concepts and knowledge about Big Data and to develop their analytical skills by applying regression analysis and machine learning to solve business problems.
It provides a practical approach for the students to apply regression and machine learning methodologies for analyzing big data and facilitating business and financial decision making.
On completion of the programme, students should be able to:
Outline data preparation procedures and examine the process for handling Big Data;
Interpret regression results and build business models using regression methods;
Apply machine learning methodologies to perform analysis and forecasting;
Evaluate various regression and machine learning methods as well as identify patterns for business and financial decision making.
Data Preparation Process
Data Cleansing, Data Integration, Data Evaluation
Data Cleansing: Handle Missing Values, Recode and Rescale Variables, Separate into Training and Testing Sets
Solution for handling Big Data: Hadoop, AWS, Azure
Regression Analysis and Business Model Building
Concepts and techniques of regression analysis
Assumption Validation and Model Assessment by interpretation of statistical results
Issues on analysis of financial Big Data and Cases on business model building
Machine Learning and Forecasting for Big Data
Supervised and unsupervised learning approaches: Decision Tree, Regression, Artificial Neural Networks, Cluster Analysis, Association Rule Mining
Naïve Bayes Model for Machine Learning
Time Series Model for forecasting and model building
Multivariate Data Analysis (MDA)
Natural Language Processing (NLP): Text Mining, Sentimental Analysis
Case study of machine learning for business and financial decision making
For more details and registration, please click here