At the end of this course, participants will be able to:
- Describe the various ways of presenting data involving multiple dimensions
- Describe and be able to augment the various concepts of moving averages, smoothing, residuals and autocorrelations into time series models
- Evaluate and assess the differences of various time series and forecasting modelling techniques
- Design and propose the use of relevant analytical models and statistical solutions in addressing research problems
- Describe ethical considerations of data visualization, and analytical pitfalls to avoid
1. Introduction to Data Visualization
2. Data Visualization Techniques
3. Forecasting and Time Series Analysis
4. Elements of Time Series Analysis and Forecasting
5. How to handle Seasonality and Cycles in Forecasting
6. Case Studies and Applications
Specially designed for data visualizers, data analysts, time series researchers and executives performing trend analysis and forecasting, this course not only equips participants with the necessary elements and understanding of various time series models, but also cover aspects of data visualization in terms of presenting and communicating the insights from the otherwise mono-dimensional data in an intuitive and engaging manner.
Participants who may not have the relevant training will find this course useful and enriching, while those who may have some training or working experience in this area will find this course offering fresh insights into the area of data visualization, time series analysis and forecasting.
Participants should ideally possess a tertiary qualification and be generally comfortable with quantitative discussions, applications and working with models.
Assumed Skills and Knowledge / Minimum Entry Requirements
Participants should ideally possess a tertiary qualification and be generally comfortable with quantitative discussions, applications and working with models, testing of assumptions.
Award / Certification / Accreditation:
Certificate of Performance will be awarded to participants who pass the required assessment.
Mode of Assessment
Participants are required to sit for an open-book quiz where participants will be graded in accordance to the course objectives to ensure they are met in a practical way.
1.Skillsfuture (SF) Series
Singaporeans and Singapore PRs are eligible for 70% course fee funding for registration with effect from 28 October 2017.
Singaporeans aged 40 and above will enjoy 90% subsidy of course fee.
This funding is applicable to both individual and company-sponsored participants. Participants are required to achieve at least 75% attendance and/or sit and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
2. SkillsFuture Credit (SFC)
With effect from January 2016, Singaporeans aged 25 years and above who received their SkillsFuture Credit account activation letter will be eligible for an initial credit of $500 which can be used to pay for course fees for a range of eligible skills-related courses. The credits can be used on top of existing course fee subsidies/funding.
This is only applicable for self-sponsored applicants. Application via SkillsFuture Portal can only be made starting from 60 days before the course commencement date.
1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:
Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
a) For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.
b) For NETS payment, you can pay at:
Blk T1A, Level 1
Mon-Fri: 8:30am to 7:30pm
c) Please make cheques payable to “Singapore Polytechnic”. Please cross the cheque and write the Registration Reference ID, Applicant Name and NRIC/FIN number on the back of the cheque. Mail the cheque to:
500 Dover Road
Blk T1A, Level 1
Please note that an administrative charge of $15 will be imposed for any returned cheques from the bank or financial institution.
2. All successful applicants will be notified with a letter of confirmation via email.
3. Withdrawal and Deferment
Withdrawal and deferment notice must be made in writing to the Professional & Adult Continuing Education (PACE) Academy, Singapore Polytechnic via email accordingly:
Online Courses - firstname.lastname@example.org
All other Courses – email@example.com
For withdrawal cases, the portion of course fee to be refunded is based on the date of notice as follows:
- 2 weeks before the commencement of the course - Full refund
- Less than 2 weeks before commencement of the course - 70% refund
- On or after date of commencement - No refund
- There will be no refund or transfer of course once the account has been created.
The Singapore Polytechnic reserves the right to cancel or postpone any of the courses. Applicants will be duly notified and where applicable, the full fees will be refunded.
The Singapore Polytechnic also reserves the right to amend the fees charged or the period and duration of the courses.
The data provided to Singapore Polytechnic will be kept strictly confidential and will be used for the purpose of course administration. The data may be passed on to the relevant organisations that require the information related to the course.