Data Visualization Continues With Me - Department of Statistics & Data Science (2024)

Data Visualization Continues With Me

This course is eligible for SkillsFuture Singapore (SSG) funding.
Course Reference No:
TGS-2022014088(Classroom Learning)
TGS-2022014310 (Synchronous e-Learning)

Course Objectives

A valued data practitioner can drill deep into the data and draw integrated insights to answer stakeholder’s complex data-problems. Such flair is possible with higher-level data manipulation skills as well as fluency in explaining discoveries, insights and limitations on the analyses performed. If you already have some basic knowledge in visualization and wish to level up your visual analytics skills, this is the course for you. This course is a continuation of the basic course Data Visualization Begins With Me. In this course, we will be diving into advanced-level skills, shifting towards more sophisticated visualizations that you can easily create to enhance your analysis. We will also be learning how to build formulas and expressions made up of functions and operators that can be combined to perform advanced calculations to better analyse your data. Together with the practical hands-on activities and project work, this will further enhance your learning experience and reinforce the skills and knowledge you acquired to better perform in your role at work.

At the end of the course, learners will be able to:

  • Articulate the important principles in creating effective visualizations for data communication.
  • Create calculated fields using built-in functions and operators in the data tools.
  • Create responsive visualizations using calculated fields or built-in functions to enhance the interactivity in visualizations and/or dashboards.
  • Apply advanced building techniques to create impactful analysis with the visualizations.
  • Build interactive visualizations and dashboards using real world scenarios to tell compelling stories.

Last updated 4 July 2023

Outline

Day 1^:

  • Principles of visualizations
  • Advanced visualizations
  • Calculated fields

Day 2^:

  • Principles of data-storytelling
  • Analysis of time-based data
  • Visual helper features such as tooltips, bookmarks, etc.

^ Assessments may comprise of mini-projects, presentations, workshop assignments or quizzes, etc.

Tools

Tableau or Power BI.

Note: Power BI is not available for direct installation on Mac, please refer to the supported operating system here.

Pre-Requisites

The participant must have attended the 1-day NUS Data Visualization Begins with Me* course.

*Please attend the same software tool which you have attended for Data Visualization Begins with Me.

Example: If you have attended Tableau software for Data Visualization Begins with Me, you will need to attend Tableau software for Data Visualization Continues With Me.

Who Should Attend

Data Practitioners (Analysts, Scientists, etc.)

Mode of Training

On-campus or Online (Live)

Instructor Profiles

Data Visualization Continues With Me - Department of Statistics & Data Science (1)

MS CHUA BEE LUAN

Chua Bee Luan is a Senior Lecturer in Data Analytics and Visualization with the Department of Statistics and Data Science at the National University of Singapore, Faculty of Science.

Bee Luan is a passionate educator with nearly two decades of teaching experience in an institute of higher learning. She taught modules in Business Analytics, Data Visualization, Website Design, Business Software, Statistical Methods and Calculus. In her capacity as a lecturer, Bee Luan was involved in developing FutureReady certification courses and conducting SkillsFuture for Digital Workplace courses for the adult learners in the banking and aviation industries. In support of the NUS resilience and growth (R&G) initiative, she also provides training for fresh graduates so that they can continue to learn in the uncertain times of COVID-19.

Prior to teaching, Bee Luan began her career in the IT industry in multiple roles, from project management to IT consulting in both MNC and SME companies. She had provided consulting services to her clients to streamline their business processes and had successfully rolled out numerous company-wide Enterprise Resource Planning (ERP) projects for companies mostly in trading and manufacturing industries.

Bee Luan graduated with a Bachelor of Science with Honours, double major in Computational Science and Mathematics from NUS. She also holds a Master in Business Administration in Strategic Management from the Nanyang Technological University and had obtained a Certificate in Teaching & Learning (Higher Education). Teaching has always been her passion and Data Analytics is her new area of interest.

Data Visualization Continues With Me - Department of Statistics & Data Science (2)

Dr Chia Hui Teng

Chia Hui Teng is a senior lecturer with the Department of Statistics and Data Science, National University of Singapore.

Hui Teng is an experienced educator with close to two decades of teaching experience at institutions of higher learning. Her area of expertise is in Statistics and Analytics education where she supports the upskilling of working adults and students in data competencies. Hui Teng serves as an advisor in curriculum design and professional development, spearheaded various projects as well as conducted workshops in the area of statistics and visual analytics. Her contributions in helping to prepare graduates for a data-centric workforce received national recognition. She won thePresident’s Award for Teachers, which is the highest accolade for the teaching profession in Singapore.

Hui Teng holds a PhD from the National Institute of Education, Nanyang Technological University. Her research interests are in sense-making, visual analytics and statistical literacy.

Course Date / Duration / Venue

Data Visualization Continues With Me - Department of Statistics & Data Science (3)Data Visualization Continues With Me - Department of Statistics & Data Science (4)Data Visualization Continues With Me - Department of Statistics & Data Science (5)Data Visualization Continues With Me - Department of Statistics & Data Science (6)
DatesDurationVenueCourse Calendar

***7 – 8 March 2024 (using Tableau)

23 – 24 May 2024 (using Tableau)

2 Days, 9.00am to 5.00pm

Face-to-Face, National University of Singapore (S16)PDF

***26 – 27 March 2024 (using Power BI)

6 – 7 June 2024 (using Power BI)

2 Days, 9.00am to 5.00pmFace-to-Face, National University of Singapore (S16)

*Please note that registration will be closed 2 weeks before the course start date, or when registrations have reached full capacity, whichever earlier.

*The mode of delivery is subject to change.

***Note: If you are an NUS Alumni who wish to utilize your R&G voucher for Professional Certificate in Data Analytics and Data Visualization, please note that all course runs (until end of March 2024) for Data Visualization Continues With Meare currently full and closed for registrations. You may still register, but you will be on waiting list.

Please email fos.shortcourses@nus.edu.sg if you wish to attend:

  • 7 – 8 March 2024 (Using Tableau) OR
  • 26 – 27 March 2024 (using Power BI)

Limited slots are available.

Updated 30 Jan 2024

Course Fees

International
Participant

Singapore Citizen1
39 years old or younger

Singapore Citizen1
40 years or older eligible for MCES2

Singapore PRs

Enhanced Training
Support for SMEs3

Full Programme Fee

S$1900.00

S$1900.00

S$1900.00

S$1900.00

S$1900.00

SkillsFuture Funding
(Refer to
Funding Pagefor Claim Period)

(S$1,330.00)

(S$1,330.00)

(S$1,330.00)

(S$1,330.00)

Nett Programme Fee

S$1900.00

S$570.00

S$570.00

S$570.00

S$570.00

9% GST on Nett
Programme Fee

S$171.00

S$51.30

S$51.30

S$51.30

S$51.30

Total Nett Programme
Fee Payable, Incl. GST

S$2,071.00

S$621.30

S$621.30

S$621.30

S$621.30

Less Additional Funding if
Eligible Under Various Scheme

(S$380.00)

(S$380.00)

Total Nett Programme Fee, Incl. GST,
after additional funding from the various funding schemes

S$2,071.00

S$621.30

S$241.30

S$621.30

S$241.30

Course Registration

You can register for the available short courses via NUS Online Application Portal.

Self-registration guide for Short Courses & Professional Certificates

  • For Member of the Public (Corporate and Self-sponsored) is available here.
  • For NUS Alumnus (R&G Voucher) is available here.

Note: If you are an NUS Alumni who wish to utilize your R&G voucher for this Professional Certificate, please note that all course runs(until end of March 2024)forData Visualization Continues With Meare currently full and closed for registrations. You may still register, but you will be on waiting list.

Contact Us

Who can I contact for further clarifications/assistance?

For all Short Courses and Professional Certificates related, please email us atfos.shortcourses@nus.edu.sg .

FAQ

Course Registration

  1. When does the registration close?

Registration will close two weeks before commencement date or when the class is full, whichever earlier. If you wish to register after the registration closes, please email us and we may review on a case-by-case basis.

  1. How do I know if my registration has been submitted successfully?

An acknowledgement email will be sent to you.

  1. I received the acknowledgement email. Does that mean that my place in the class is confirmed?

No. The acknowledgment email is to inform you that the registration is submitted successfully. Your registration is still required to be processed by the short course coordinator internally. Should you have any queries pertaining to your registration, or have any changes to be made, please email us.

  1. I am a NUS Alumnus and would like to use R&G Voucher, how do I register?

You may register via NUS Online Application Portal and select “NUS Alumnus (with R&G voucher)”. Follow the login instructions.

  1. Can I withdraw my application?

The short course coordinator must be notified in writing of all requests for withdrawals and deferment at least 7 days before the run.

If you have accepted the offer to a short course programme run, but find that you are unable to attend, you should notify us by writing to fos.shortcourses@nus.edu.sg .

Applicants may postpone participation and request for deferment to other course runs, subject to availability.

Requests for cancellation will be considered on a case-by-case basis, and refunds may be issued.

Please note that we are unable to process any refunds for NUS Alumni utilising R&G vouchers. More information on R&G Voucher can be found here.

Course Funding

  1. What funding(s) is available for the courses?

Please refer to the ‘Course Fees’ section in the course brochure.

  1. I am corporate/self-sponsored. Am I eligible for SSG Funding?

Yes. All Singapore Citizen/SPR attending SSG funded courses will be eligible for SSG Funding, provided you have not taken the same course before.

In addition, youmust meet the two criteria:

    • Attain minimum 75% attendance,
    • Achieve a ‘Competent’ grade in all assessment(s)
  1. How do I apply for SSG Funding?

The course fees will automatically be tabulated with the relevant SSG funding based on your eligibility. No action is required from the participant/company except to ensure that the participant meets the two criteria stated above.

  1. I am self-sponsored. Can I use my SkillsFuture Credits to pay for the course fees?

Yes. Once an offer of placement has been granted for your application, you will have to accept the offer via NUS Online Application Portal and make the payment via your SkillsFuture credits. Payment is not required upfront during registration.

Payment

  1. What are the modes of payment?
    • Visa, Mastercard, Amex or Alipay
    • PayNow (a QR code will be displayed during payment)
    • SkillsFuture credits (you will be required to submit an SFC claim upon making payment, you will be redirected to an external link for you to authenticate using Singpass on SFC website)
    • R&G Voucher (only applicable for NUS Alumnus applying for a Professional Certificate)
  1. When can I make the payment?

Once your registration has been processed and an offer of placement has been granted to you, you will receive an automated email for you to accept the offer on NUS Online Application Portal.

Once you have accepted the offer, you will be directed to the payment page.

  1. I am using R&G voucher for payment, do I still need to accept the offer since I’m not making any payment?

Yes, you are still required to login and accept the offer. Otherwise, your placement may be withdrawn.

  1. I changed my mind, I would like to make payment for the short course using my SkillsFuture credits, instead of my R&G Voucher. Can I still change the mode of payment?

Your R&G voucher will be deemed used once you accept the offer. No refunds will be made for any redeemed voucher.

Assessment

  1. Is there an assessment component for the course?

Yes. The mode of assessment is up to the CET instructor’s discretion. It may be a reflection paper, quiz, presentation, or based on classroom activities. You will be required to achieve a ‘Competent’ grade for the assessment(s).

  1. What happens if I did not achieve a ‘Competent’ grade in my assessment?

You will be notified by the short course coordinator if you did not achieve “Competent” for the short course. You may be offered for a deferment for the next available class.

E-Certificate

  1. Will I receive a certificate for the course?

An e-certificate will be issued upon successful completion within 20 working days.

  1. Can I request a specific name to be on the e-certificate?

The name on the e-certificate will be issued according to the full name as per registration.

Data Visualization Continues With Me - Department of Statistics & Data Science (2024)

FAQs

What is data visualization answers? ›

Data visualization is the process of using visual elements like charts, graphs, or maps to represent data. It translates complex, high-volume, or numerical data into a visual representation that is easier to process.

What is the purpose of data visualization in data science? ›

Data visualization helps to tell stories by curating data into a form easier to understand, highlighting the trends and outliers. A good visualization tells a story, removing the noise from data and highlighting useful information.

What is the primary goal of data visualization in statistics? ›

The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets. The term is often used interchangeably with information graphics, information visualization and statistical graphics.

Is data visualization a part of data science? ›

Data visualization is a critical step in the data science process, helping teams and individuals convey data more effectively to colleagues and decision makers. Teams that manage reporting systems typically leverage defined template views to monitor performance.

What are the basics of data visualization? ›

Data visualization is the representation of information and data using charts, graphs, maps, and other visual tools. These visualizations allow us to easily understand any patterns, trends, or outliers in a data set.

What are data visualization skills? ›

Data visualization is the representation of information and data using visuals such as graphs, charts, maps, and more. Data professionals who incorporate data visualization in their work use tools to present data to non-technical audiences to tell a story about the data that helps businesses make data-driven decisions.

What is an example of data visualization? ›

Area/scatter maps show geographic data

These data visualizations allow you to see immediately which geographical locations are most significant to your business. Data is visualized as points of color on a map; values are represented by circle size.

What is the definition of data visualization quizlet? ›

What is Data Visualization? the study of the visual representation of data, meaning information that has been abstracted in some schematic form, including attributes or variables for the units of information.

What are the 4 pillars of data visualization? ›

The foundation of data visualization is built upon four pillars: distribution, relationship, comparison, and composition.

How to interpret data visualization? ›

Tips for reading charts, graphs & more
  1. Identify what information the chart is meant to convey. ...
  2. Identify information contained on each axis.
  3. Identify range covered by each axis.
  4. Look for patterns or trends. ...
  5. Look for averages and/or exceptions.
  6. Look for bold or highlighted data.
  7. Read the specific data.
Aug 17, 2023

References

Top Articles
Latest Posts
Article information

Author: Horacio Brakus JD

Last Updated:

Views: 6527

Rating: 4 / 5 (51 voted)

Reviews: 90% of readers found this page helpful

Author information

Name: Horacio Brakus JD

Birthday: 1999-08-21

Address: Apt. 524 43384 Minnie Prairie, South Edda, MA 62804

Phone: +5931039998219

Job: Sales Strategist

Hobby: Sculling, Kitesurfing, Orienteering, Painting, Computer programming, Creative writing, Scuba diving

Introduction: My name is Horacio Brakus JD, I am a lively, splendid, jolly, vivacious, vast, cheerful, agreeable person who loves writing and wants to share my knowledge and understanding with you.