Date: 8 May, 12 May 2023 | 9am-5.30pm | Online
Duration: 2 Days
Course Overview
Every organisation wants to enhance the value of their business. However, in the current scenario, it’s hard for many organisations to achieve it as they are not backed by solid data. Even if they have a huge amount of data, they are unable to generate actionable intelligence. By the way, it was never just about the data, it is the answers that are important. There could be various reasons for this, including lack of experience, resources and compelling learning materials. Re-introducing Actionable Intelligence which has the potential to answer the most challenging questions of “Where are we Today”, “Are we winning” and “How to Win Tomorrow”. With the advancements in technology, there are now various tools available which can help in answering these questions. While Business Intelligence(BI) appears to be a technology or data scientists function. The challenge in the application of BI is that it requires a thorough understanding of the business concepts and BI tools.
The course is focussed on the application of business intelligence. There will be business concepts, fundamentals of charting, and hands-on practice with PowerBI. The course will also cover all the necessary concepts in order to perform an analysis with PowerBI.
This module is part of Professional Certificate in Business Analytics and AI for Finance, Retail and Supply Chain.
Learning Outcomes
- Understand why business intelligence is important
- Understand database concepts for working with PowerBI
- Explore different types of visualizations
- Understand the functionalities of PowerBI for Business Intelligence
- Hands-on with PowerBI Service
- Hands-on with PowerBI Desktop
Topics
- Why Data Visualisation
- What is PowerBI and why use it
- Introduction to PowerBI Desktop and Service
- Visualisation Basics-Charts
- Hands-on – PowerBI Service & PowerBI Desktop
Who Should Attend
Business Analysts and Non-Technical Professionals who are keen to go through the full development cycle of Power BI dashboard.
Technical Requirement
Participants should have a windows system that supports Microsoft Power BI Desktop.
Course Convener
(Click their photos to view their short biographies)
Ms Samantha Sow
Ms Samantha Sow
Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics.
She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning.
Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore.
Her certifications include:
Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS-2020504947(Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Insights from Participants
This is a good course.
Xie Nanzheng
Good pace, and highly recommended course.
Ray
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or older