Decision Intelligence using Data for Wholesale Trade

Short Course / 6 months

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees
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Course Information

This advanced course is for Professional, Managers, Executives and Technicians (PMETs) to pursue a career in operations, procurement and sourcing in the wholesale trade sector.

With the ongoing digital revolution and advancements in technology, organizations can dramatically improve their effectiveness by collecting and analysing insights from relevant data. What is needed to harness the best in applied data science in your field of work?

This data analytics course covers core topics in the area of data science, using R as the core programming language, and design thinking to achieve decision intelligence.

Learning Outcomes

You will be equipped with programming tools used to analyze and visualize data. You will learn and apply concepts related to statistics for data, machine learning algorithms and design thinking. While computer systems can execute calculations meticulously, this course aims to develop participants who are capable of leading data-led projects responsibly, through the use of decision intelligence to turn information into better actions.

Course 
Schedule

Application Period: 23 Nov 2020 to 1 Mar 2021_x000D_
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Course Duration: 6 months_x000D_
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Next Intake : 30 Mar 2021 to 29 Sep 2021_x000D_
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Schedule: Mon & Wed, 9am to 5.30pm

Lesson Plan

This course consists of 4 modules:

Data wrangling & statistics for data
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  • Code with the R programming language using RStudio and RMarkdown

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  • Learn intermediate R functions to manage and aggregate data

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  • Clean data and manipulate using Tidyverse dplyr package

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  • Acquire basic descriptive statistics concepts

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  • Gain insights with exploratory data analysis using cases with industry applications

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  • Asynchronous learning using DataCamp

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Visualization of data with R & Tableau
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  • Generate visualization plots with ggplot2 using RStudio

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  • Generate flexdashboard and Shiny dashboards

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  • Build interactive plots and maps

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  • Develop impactful visualizations using Tableau

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  • Design interactive Tableau dashboards that provide real-time value

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Machine learning modelling for decision intelligence
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  • Dive deep into machine learning algorithms

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  • Learn the mathematical concepts under that hood of algorithms

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  • Supervised and unsupervised machine learning

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  • Build regression and classification models

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  • Linear regression, logistic regression, decision trees, random forest, knn, Naïve Bayes, K-means, hierarchical clustering, time series and neural networks

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  • Evaluate, validate and tune models for improve performances

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Design thinking mindset for data science and capstone projects
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  • Understand the design thinking process

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  • Learn from design thinking use cases applied to data science

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  • Acquire strategies for decision intelligence

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  • Build a demonstrable capstone project to showcase competency in data visualization and machine learning

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Certification

Certificate will be awarded to participants who achieve at least 75% attendance and pass assessments.


Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
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  1. Applicants should have an analytical mindset and an interest to learn problem solving with algorithms and data structures.

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  2. Applicants should have basic digital literacy and be willing to acquire programming skills

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  3. Preferably with a local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering, technology, or any other disciplines with at least one (1) year of relevant work experience.

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  4. Students enrolled into the course are expected to bring along their personal laptop with the Windows 10 operating system installed.

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Offered by School of Interdisciplinary Studies

Course Fees

Full Fees (incl. GST): $12,840_x000D_
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Singaporeans & Permanent Residents (incl. GST): $500_x000D_
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Trainees must fulfil minimum attendance requirements and pass assessments to qualify for course fee subsidies. Trainees who are unable to meet these requirements may be asked to return the course fee subsidies that they have received.

Applicants / Eligibility Fees
Singapore Citizens (SC) below the age of 40 years$500.00
Singapore Citizens (SC) aged 40 and above$500.00
Singapore Permanent Residents (PR)$500.00
Full Fees$12840.00