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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
We did our best, but couldn't find the next application deadline and start date information online.
More details
- each module has its own intakes
Language
English
Delivered
On Campus
Campus Location
- Singapore, Singapore
Disciplines
Machine Learning View 4 other Short Courses in Machine Learning in SingaporeWhat students do after studying
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Academic 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.
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
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents10464 SGD / full≈ 10464 SGD / full -
Domestic Applies to you
Applies to youCitizens or residents3139 SGD / full≈ 3139 SGD / full
Additional Details
- Singapore Citizen ≥ 40 years old: $1,219.20
Living costs
Singapore
Singapore
1878 - 3880 SGD / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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