10.5 hours / 1.5 days
Day1: 9:00am to 5:00pm
Day2: 9:00am to 12:30pm
Mode of Training:
Facilitated Learning (F2F)
With so much fast moving and voluminous data in the market, there is increasing importance placed on the ability to make sense of business data. This is true for companies both big and small. This course will give an appreciation of the importance of
data in the current business landscape as well as how we can make use of data to bring our business forward. Hands-on experience using Microsoft Excel and Tableau will give a flavour of how to deal with data.
This course consists of a 1.5 day workshop. Where practitioners will be invited to share their insights and experience with the participants. Through a blend of facilitated learning and hands on activities, you will learn about:Topics to be covered
How Analytics is
being used in different industries? What is Big Data? Business Analytics Framework. Case studies will be discussed on how companies have put analytics to use through this framework. Analytics tools and the importance of Cleaning Data. Applying Analytics
to real data and making sense of it. A quick hands on with appropriate software like MS Excel and Tableau will demonstrate how analytics can be used to successfully plan for future growth in your company.
• Introduction to Data Mining, Framework and applications
• Understanding Big Data Characteristics and applications
• Introduction to Data Visualisation and Dashboards
• Performing essential Data Cleaning and Data Manipulation in Excel
• Business insights through building Dashboards in Tableau
This course is designed for SME managers and supervisors, small business owners, startup entrepreneurs or anyone who wants to develop a broad understanding of business analytics.
For beginners or applicants without prior Analytics experience.
Participants who may not have the relevant training will find this course very useful and enriching.
Minimum Entry Requirements / Assumed Skills and Knowledge
1. Proficiency in English
2. Basic Microsoft Excel knowledge.
Award / Certification / Accreditation
• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate
Mr Lim Cheng Chong
Cheng Chong obtained his first degree in Computer Science from a Canadian university. He subsequently completed the ACCA professional papers and is currently a Fellow of ACCA.
Cheng Chong started his career in data migration with an established IT company before moving to external audit at a Big Four accounting firm. He also spent several years in management, regulatory and financial accounting in the banking industry before joining Singapore Polytechnic as a lecturer in 2011.
Mr Edwin Seng
Edwin was Senior Consultant at SAS Singapore. Being a member of the Analytics team, he supports the pre-sales function and provides technical support which includes development of proposals, solution architecture, and implementation plans for SAS solutions.
Prior to this engagement, he was an Analytics Consultant at IBM SPSS Singapore, where he established expertise in analytics applications through his involvement and implementation of projects with the government and private sectors. These projects aimed at solving business problems with the use of various analytical methods such as predictive modeling, clustering analysis, time series forecasting, association analysis and text mining. Edwin received his Master’s Degree in Knowledge Management from Nanyang Technological University and graduated from SIM University with a Bachelor of Science in Business Analytics.
Eligible for SkillsFuture CreditTerms and Conditions*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
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:
a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
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:
c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number.
*With effect from 1 August 2021, cheque payment will not be available.
2. All successful applicants will be notified with a letter of confirmation via email.