Data Visualization Begins With Me



Course Reference No: CRS-N-0046232

 EPD Calendar

Course Objectives

Numbers can only tell so much on paper. As the saying goes, “A picture is worth a thousand words.” The value of analysis is very limited if it cannot be clearly communicated to others through the use of visualizations. This can lead to missed business opportunities.
 
The 1-day course will cover the analytics process, data cleaning techniques, how to conduct exploratory data analysis within the data and visualization techniques that help to “tell THE story” that resides within their data.

At the end of the course, participants will be able to:
  • List how visualisation is useful in a variety of settings
  • Apply visualisation to data to understand and analyse it
  • Communicate analysis effectively with data visualisations

Outline

 Qlik Sense Tableau
Introduction to Data Visualization
 
Communicating with Data Visualizations
 
Hands-on session (Qlik Sense Part 1)
 
Hands-on session (Qlik Sense Part 2)
 
Hands-on session (Qlik Sense Part 3)
Introduction to Data Visualization
 
Communicating with Data Visualizations
 
Hands-on session (Tableau Part 1)
 
Hands-on session (Tableau Part 2)
 
Hands-on session (Tableau Part 3)
 

Tools and Schedule

Qlik Sense Tableau 

14 Jul 2020

           

 

07 Aug 2020

13 Oct 2020 

 

Pre-requisites

Experienced with using Excel in manipulating data, charting and basic analysis. No programming experience required.

Who Should Attend

Executives, Managers, Business Analysts

Mode of Training

Online Workshop using Zoom
Speaker

Dr. Benjamin Lee

 

Dr. Benjamin Lee is a Senior lecturer in Data Analytics and Visualization with the School of Continuing and Lifelong Education (SCALE) at NUS.

He has over 30 years’ experience in IT and information management.  His career roles span CIO, Director of IT services, Strategy and Planning, Project management, Applications development, Systems engineering, Data management and IT outsourcing. Business and Industry experiences include electronic business development, implementation of business process re-engineering and functional support for Finance, HR, Manufacturing, Retail and mergers/acquisitions in Oil and Gas.

He has been actively involved in data and information management since 2000 and has successfully implemented global projects covering data warehouses, management information systems, data analytics and e-business systems. In those projects, Ben had applied data analytics to improve resource management and sales profitability with better understanding of customers, products and services.

Ben has been teaching information & data management and business analytics classes since 2016. He holds a Doctorate in Business Administration from the University of Western Australia. He also has Masters in Business Research and Physics and a Bachelors in Law. He has a strong interest and passion for data analytics, visualization and e-business.

Speaker

Dr. Julian Lin 

Dr. Julian Lin is a Senior Lecturer in Cybersecurity and Data Analytics with School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).  He is a Certified Information Systems Security Professional (CISSP) and has a dozen other IT certifications. Recently, Julian was ranked 6th in the Microsoft Data Science Capstone Competition. He has been conducting text-analytics research since 2010 and teaching  visualization since 2007. 

During his IT consultancy career, he oversaw the application and infrastructure projects in Amoseas,  Mannesmann Dematic Colby (Sydney), Alcatel (Sydney), and the University of New South Wales (UNSW) Faculty of Commerce and Economics. Julian has taught programming and data management for business at UNSW.  At NUS, he had mentored student software development projects and taught visual communications, designing new media content, and research methods. He was given a  teaching award for visualization class and research award for user acceptance research in NUS. 

Julian obtained a PhD degree in Information Systems from NUS.  He was a recipient of two scholarships from the Overseas Chinese Association in Taiwan while pursuing his Bachelor degree and another scholarship while pursuing a Master degree in Australia.
Speaker

Dr. Edmund Low

Dr. Edmund Low is a lecturer with the University Scholars Programme (USP) at the National University of Singapore. He teaches courses on engineering, statistical methods, data science and analytics. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. He has organised / co-organised programming workshops and data hackathon for students. As an educator, Edmund has received both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. He has more than 13 years of academic and professional experience in the use of computational modelling and data-driven tools, applying them to solve problems in public health, water resource management and air quality in buildings. Edmund holds a PhD in Environmental Engineering from Yale University.

Speaker

Mr. Koo Ping Shung

Mr. Koo Ping Shung is an experienced Data Scientist with more than 13 years of relevant experience. He is also currently a Adjunct Senior Faculty with the Singapore University of Social Sciences (SUSS) and a SAS Trainer as well. To date, he has conducted over 1,600 man-hours of data science training. He is also the mentor to the trainees accepted into the IMDA-SAS BIA Programme for 5 intakes.

Ping Shung was a guest lecturer at NUS Institute of Systems Science and previously held an adjunct position in School of Information Systems, Singapore Management University.

Prior to this, he was the Analytics Practicum Manager of the Master of IT in Business (Analytics) at the Singapore Management University School of Information Systems. He managed the industrial relationships through projects and attachments. He often advised companies on the type of data analytics projects they can work on with their data and is a co-supervisor for many Masters students on their data analytics capstone projects. He was an instructor for the DBS Graduate Associate Programme for 3 years, teaching over 200 Graduate Associates on data analytics and received positive ratings. He has also trained professionals from various companies on data analytics and the use of SAS software.

Ping Shung was a facilitator for the IDA Data Science MOOC programme for 2 cohorts (over 300 professionals) and participated in Singapore's first Data Literacy Bootcamp which was co-organised by the IDA Singapore and The World Bank.

Ping Shung through his career has gathered much experience on statistical modeling, from working in the banks, supervising Masters students and doing education research. His data analytics experience range from a wide variety of business functions and industries, gathered from talking to companies or working on data analytics projects.

His strong passion in data analytics and data science can be seen through his involvement in data analytics interest groups, being a Co-founder of DataScience.Sg and former Working Committee Chairman of SAS User Group Singapore and Data Ambassador for one of the DataKind SG project. He also read widely on the different topics related to data science and artificial intelligence, keeping himself up-to-date with their development.

His research interest lies in how data science can help organisations and businesses to be more efficient and effective.

Ping Shung holds an MBA from University of Adelaide. He obtained his bachelor degree in Economics from National University of Singapore, with a minor in Computational Finance.
Speaker

Mr Danny Thien

Mr Danny Thien is a seasoned IT practitioner whose experiences include Data Architecture and Strategy, Data Governance and Stewardship, Enterprise Application Integration, and ERP & Cloud Transformations. He is currently working for United Overseas Bank as a First Vice-President at the Data Management Office, responsible for Data Strategy and oversee delivery of Data Science projects and Analytics assets for the bank. Prior to that, Danny spent 15 years traveling extensively as a consultant for international clients, holding stints at Startups (Denodo, Utopia Global Inc., Ecenta Inc.) as well as MNCs (Oracle, S1 Corporation). He is well-versed in developing Enterprise Information Management roadmaps, leveraging leading data technologies in the market to accomplish business objectives, and acting as a trusted Subject Matter Expert in Big Data, Data Integration, Data Quality, Data Visualization, and Analytics Architecture design.

Danny attained his Masters of Business Administration from the University of California, Los Angeles and National University of Singapore. He also has a background as a Computer Engineer with a Bachelor in Systems and Information Engineering from the University of Virginia.

DATE

14 Jul 2020 (Online)
07 Aug 2020(Online)
13 Oct 2020

DURATION

1 Day
9.00am to 5.30pm

VENUE

National University of Singapore
University Town

International Participants

S$909.50

Incl. GST

Singapore Citizens (39 yrs old or younger) or Singapore PRs

S$272.85

Incl. GST

Singapore Citizens
(40 yrs or older)

S$102.85

Incl. GST

Enchanced Training Support for SMEs

S$102.85

Incl. GST

Fees & Fundings

International
Participant
Singapore Citizen1
39 years old or younger
Singapore Citizen1
40 years or older eligible for MCES2
Singapore Citizen1
eligible for WTS3
Singapore PRs Enhanced Training
Support for SMEs4
Full Programme Fee S$850.00 S$850.00 S$850.00 S$850.00 S$850.00 S$850.00
SkillsFuture Funding
Eligible for Claim Period
(3 Apr 2018 to 30 Sep 2020)
- (S$595.00) (S$595.00) (S$595.00) (S$595.00) (S$595.00)
Nett Programme Fee S$850.00 S$255.00 S$255.00 S$255.00 S$255.00 S$255.00
7% GST on Nett
Programme Fee
S$59.50 S$17.85 S$17.85 S$17.85 S$17.85 S$17.85
Total Nett Programme
Fee Payable, Incl. GST
S$909.50 S$272.85 S$272.85 S$272.85 S$272.85 S$272.85
Less Additional Funding if
Eligible Under Various Scheme
- - (S$170.00) (S$212.50) - (S$170.00)
Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes
S$909.50 S$272.85 S$102.85 S$60.35 S$272.85 S$102.85

  1. All self-sponsored Singaporeans aged 25 and above can use their $500 SkillsFuture Credit to pay for the programme. Visit http://www.skillsfuture.sg/credit to select the programme. 
  2. Mid-Career Enhanced Subsidy (MCES) - Singaporeans aged 40 and above may enjoy subsidies up to 90% of the programme fee. 
  3. Workfare Training Support (WTS) - Singaporeans aged 35 and above (13 years and above for persons With disabilities) and earn not more than S$2,000 per month, may enjoy subsidies up to 95% of the programme fee. 
  4. Enhanced Training Support for SMEs (ETSS) - SME-sponsored employees (Singaporean Citizens and PRs) may enjoy subsidies up to 90% of the programme fee. For more information, visit http://www.ssg.gov.sg/programmes-and-initiatives/training/enhanced-training-support-for-smes.html?_ga=2.154478072.1748789781.1519700056-512306731.1519700056
  5. Eligible organisations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect at www.skillsconnect.gov.sg for Singaporean/permanent resident participants attending the programme during working hours. The absentee payroll funding is computed at 80% of hourly basic salary capped at $4.50 per hour or $7.50 per hour for SME or 95% of hourly basic salary for WTS. For more information, visit https://www.skillsconnect.gov.sg/sop/portal/e-Services/For%20Employers/AbsenteePayroll.jsp
  6. NTUC Training Fund (SEPs) – All self-employed (i.e. freelancers and sole-proprietors-with-no-employee) Singaporeans and Permanent Residents are eligible to apply for the NTUC Training Fund (SEPs) from NTUC’s Employment and Employability Institute (e2i). Click here for more information.
NTUC members enjoy 50% of the unfunded programme fee support for up to $250 each year for programmes supported under UTAP (Union Training Assistance Programme). Terms and Conditions apply. Please visit http://skillsupgrade.ntuc.org.sg
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03 June 2020