Generating and Understanding Insights from Machine Learning Analytics using R, Short Course | Singapore University of Social Sciences | Singapore, Singapore
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Generating and Understanding Insights from Machine Learning Analytics using R

2 days
Duration
1400 SGD/full
1400 SGD/full
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Generating and Understanding Insights from Machine Learning Analytics using R course offered by Singapore University of Social Sciences endeavours to equip learners with the essentials of R programming, a powerful statistical and machine learning tool at the heart of data science and data analytics.

Overview

What you will learn

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.

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:

  • Essentials of 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

English

Delivered

On Campus

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.

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 now

Starting 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.

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.

Tuition Fee

To always see correct tuition fees
  • International

    1400 SGD/full
    Tuition Fee
    Based on the tuition of 1400 SGD for the full programme during 2 days.
  • National

    1400 SGD/full
    Tuition Fee
    Based on the tuition of 1400 SGD for the full programme during 2 days.

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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Generating and Understanding Insights from Machine Learning Analytics using R
Singapore University of Social Sciences
Generating and Understanding Insights from Machine Learning Analytics using R
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Singapore University of Social Sciences

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