Overview
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Duration/Frequency:
10.5 hours
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Mode of Training:
Face-to-Face (Classroom Teaching)
Course Objective
Today's Digital age makes large Data move faster than ever, spiking overall demand for skilled Professionals interpreting it to valuable Business insights. Hence, this 1.5-day course equips participants with this valuable skill to thrive in this new Business landscape and bring businesses forward. Furthermore, hands-on experience using Microsoft Excel and Tableau, as well as case studies, of how different industries use Analytics, will be included to further prepare participants.
More Information
This course will cover the following areas:
- Analytics' use in industries
- Big Data and Business Analytics Framework
- Analytics tools and the importance of Clean Data
- Applying Analytics to real data and making sense of it
- A quick hands-on with appropriate software, like MS Excel, demonstrating how Analytics can be used to successfully plan for future growth, at work
Trainer Profile
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.
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.
