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Overview
About the course
As more and more organisations turn to predictive analytics to gain a competitive advantage, expertise in the field is highly sought after. Using Machine Learning, predictive analytics can turn data into meaningful and actionable insights.
The six modules in this Predictive Analytics and Machine Learning course at Singapore Management University provide step-by-step guidance to participants to train, and test supervised and unsupervised machine learning models in numerical, categorical, and text data.
Participants will get to discuss productivity tools and experience the deployment of machine learning models on various platforms like GitHub and its interactive dashboards. This practical six-module course will culminate in a capstone project, where they will work on their own predictive analytics project using machine learning.
Programme Structure
Modules include:
- Predictive Modelling for Numerical Data
- Predictive Modelling for Categorical Data
- Dimensionality Reduction
- K-Means and Hierarchical Clustering
- Text Classification and Topic Modelling
- Shiny and Machine Learning in Production
Key information
Duration
- Full-time
- 18 days
Start dates & application deadlines
You can apply for and start this programme anytime.
More details
- each module has its own intakes
Language
English
Delivered
On Campus
Disciplines
Data Science & Big Data Machine Learning View 27 other Short Courses in Data Science & Big Data in SingaporeAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Singapore Management University and/or in Singapore, please visit Student Insurance Portal.
Other requirements
General requirements
- The course is intended to advance the knowledge and expertise of working professionals who already possess the fundamentals of R programming and data analytics, along with a basic understanding of statistical and causal inference modelling (modelling for explanation).
- The course is intended to advance such expertise, using base R and tidyverse ways of R programming for cutting-edge practices, to predictive models and machine learning.
- Participants who wish to advance their expertise in predictive models and machine learning, along with productivity tools for data science (e.g., creating and maintaining github and interactive dashboards), beyond the cornerstone knowledge and expertise on data analytics and visualisation, will find it a great fit and will learn the most on this course.
- Targeted Job Roles: Data analyst, Statisticians, Data scientist, Data Architect, Quantitative Analysis with R, System Intelligence Manager, Trading analyst
Tuition Fee
To always see correct tuition fees
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International
10464 SGD/fullTuition FeeBased on the tuition of 10464 SGD for the full programme during 18 days. -
National
3139 SGD/fullTuition FeeBased on the tuition of 3139 SGD for the full programme during 18 days.
- Singapore Citizen ≥ 40 years old: $1,219.20
Living costs for Singapore
1878 - 3880 SGD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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