Overview
Through the Generating and Understanding Insights from Machine Learning Analytics using R course offered by Singapore University of Social Sciences, learners will acquire the skillsets to:
- manipulate, clean and enrich raw data into more usable formats;
- discover hidden patterns in the enriched datasets;
- connect the dots, interpret and derive actionable insights to facilitate decision making.
Outcomes
At the end of this course, participants should be able to:
- Explain key machine learning concepts.
- Apply suitable machine learning models to address different business problems.
- Analyse results derived from machine learning models.
- Generate enriched datasets from raw data.
- Construct machine learning models to analyse business data.
- Predict future trends using past data.
Programme Structure
The program focuses on:
- R Programming, Data Wrangling, and Data Visualization
- Multiple Linear Regression modelling and deriving insights for decision making
- Logistic Regression modelling and deriving insights for decision making
- Decision Trees (Classification Trees) modelling and deriving insights for decision making
- Cluster Analysis modelling and deriving insights for decision making
Key information
Duration
- Full-time
- 2 days
Start dates & application deadlines
Language
Delivered
Campus Location
- Singapore, Singapore
Disciplines
Data Science & Big Data Machine Learning View 4 other Short Courses in Machine Learning in SingaporeWhat students do after studying
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
- Existing undergraduates looking to acquire analytics skillsets prior to entering the workforce.
- Existing professionals looking to acquire analytics skillsets to future-proof their careers.
- Forward-thinking professionals looking to quickly pick up the essentials of machine learning algorithms so as to transform and make an impact to their organisations.
- Curious individuals (including nerds) who wishes to seek a technical understanding of data analytics using machine learning algorithms.
- Attendees ideally should have some knowledge of analytics and R, but learners without such knowledge are welcome as well, so long as they have GCE ‘O' Levels as minimal entry requirement.
Technological requirements
- Attendees have to bring along their own (personal) laptop, with at least 8 GB RAM.
- Attendees are discouraged from bringing corporate laptops to the course as there may be restrictions in installing R software and its packages.
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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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 University of Social Sciences and/or in Singapore, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents1400 SGD / full≈ 1400 SGD / full -
Domestic Applies to you
Applies to youCitizens or residents1400 SGD / full≈ 1400 SGD / full
Living costs
Singapore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.