Applied Data Analytics in Business

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Applied Data Analytics in Business

Overview

Course Date:
29 Feb 2024 to 01 Mar 2024
Registration Period:
09 Jan 2024 to 01 Feb 2024
Duration/Frequency:
10.5 hours / 1.5 days, Time: Day1: 9:00am to 5:00pm, Day2: 9:00am to 12:30pm
Mode of Training:
Facilitated Learning (F2F)
Venue:
Singapore Polytechnic
Funding:
Eligible for SkillsFuture Credit

*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.

Course Objective

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.

Course Outline

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:

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.

Topics to be covered
• 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

Minimum Requirements

1. Proficiency in English
2. Basic Microsoft Excel knowledge.

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

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Suitable for

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.

Course Fees

For more information on course fee / or to apply, click on the “Register” button.

Applicants/Eligibility	SkillsFuture Funding	GST*	Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹	$270.00	$8.10	$38.10
Singapore Citizens aged below 40	$210.00	$8.10	$98.10
Singapore Permanent Residents and LTVP+ Holders	$210.00	$8.10	$98.10
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders²	$270.00	$8.10	$38.10
Others (Full fees payable)	$0.00	$27.00	$327.00

Course Trainer(s)

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.