Analytics for Enterprises

Short Course / 2 Days

Apply
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees
Apply
Contact us for more information

Course Information

Use data-driven analysis and prediction as part of your decision-making process for better business outcomes.

Learning Outcomes

This 2-day programme provides a hands-on overview of analytics that demonstrates how companies and managers use data-driven analysis and prediction as part of their decision-making process, leading to better business outcomes._x000D_

    _x000D_

  • Introduction to Analytics

    • _x000D_

  • Cleaning & Preparing Data

    • _x000D_

  • Introduction to Data Warehouse

    • _x000D_

  • Star Schema and Multi-Dimensional Analysis

    • _x000D_

  • Introduction to Machine Learning

    • _x000D_

Course 
Schedule

Course Dates: 22 to 23 Mar 2021_x000D_
Application Period: 6 Jan – 28 Feb 2021_x000D_
Duration: 2 days_x000D_
Time: 9am to 6pm_x000D_
_x000D_
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

This course consists of 5 modules:

Introduction to Analytics
    _x000D_

  • Evolution of Analytics

    • _x000D_

  • Descriptive, Predictive, Prescriptive Analytics

    • _x000D_

  • Analytics and its impact on Enterprises and businesses

    • _x000D_

Cleaning & Preparing Data
    _x000D_

  • Data Analytics

    • _x000D_

  • Basics of Data

    • _x000D_

  • Cleaning Data

    • _x000D_

  • Joining Tables

    • _x000D_

Introduction to Data Warehouse
    _x000D_

  • Traditional approach to reporting and its associated challenges

    • _x000D_

  • Spreadsheet and its associated challenges

    • _x000D_

  • Rise of new generation of analytics platform and the democratization of data

    • _x000D_

  • Introduction to Data Warehousing and its relationship to Business Systems

    • _x000D_

Star Schema and Multi-Dimensional Analysis
    _x000D_

  • Multi-Dimensional Cube

    • _x000D_

  • Star Schema and its uses

    • _x000D_

  • Slice and Dice

    • _x000D_

  • Drill in and aggregation

    • _x000D_

  • Pivot

    • _x000D_

  • Creation of new measures

    • _x000D_

Introduction to Machine Learning
    _x000D_

  • Machine Learning in Business

    • _x000D_

  • Types of Machine Learning

    • _x000D_

  • Supervised Learning vs Unsupervised Learning

    • _x000D_

Certification

A Certificate of Performance will be awarded to participants who achieve at least 75% attendance and pass all required assessment(s).

_x000D_


A Certificate of Participation will be awarded to participants who meet the 75% attendance requirement but did not pass all required assessment(s).

Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
    _x000D_

  • _x000D_
    Anyone who is looking to use data analytics in their work

    • _x000D_

  • _x000D_
    Applicants preferably be Computer Literate with basic knowledge in MS Office.

    • _x000D_

  • _x000D_
    Participants are to bring their own Microsoft Windows 10 laptop computer with recommended specification of Dual Core 1.8GHz 64-bit and 8 GB RAM.

    • _x000D_

Offered by School of InfoComm Technology

Course Fees

Course fee is payable upon acceptance. It is inclusive of 7% GST and subject to review._x000D_
The course is eligible for SkillsFuture Credit.

Applicants / Eligibility Fees
Singapore Citizens (SC) below the age of 40 years$138.03
Singapore Citizens (SC) aged 40 and above$138.03
Singapore Permanent Residents (PR)$138.03
Enhanced Training Support for SME Scheme (for SC & SPR)$52.03
Full Fees$460.10