Overview
| Duration |
3 days |
| Course Time |
9.00am - 5.00pm |
| Enquiry |
Click here to contact us
|
This course is delivered by
NUS-ISS.
Data Storytelling has become an extremely important skill in today’s corporate environment. It is effective way to share organisation information and drive outcomes. The rate that businesses collect data today is phenomenal. Therefore, data storytelling is important for professionals to communicate findings, tailored to a specific audience, with a compelling narrative.
The course equips participants with essential skills to draw insights from data, deploy story boards and present their insights using the most effective visual representations. Skills learnt in this course would help place the organisation on the path towards data driven decision making.
Our instructors who possess a wealth of industry experience will use real life examples and hands on workshops to help participants apply descriptive and diagnostic techniques; select appropriate charts and graphs; create powerful presentations; design productive dashboards and create viral infographics.
This course is part of the NUS-ISS Graduate Certificate in Analytics Project Management (stackable to an NUS Masters Degree) as well part of the NUS-ISS Professional Diploma in Smart Health Leadership.
Key Takeaways
At the end of this course, the participiants will be able to:
- Apply different types of data related questions and analytics patterns
- Deconstruct principles of data visualisation
- Apply exploratory, descriptive and diagnostic analysis
- Apply storytelling framework
- Create presentations that effectively present the data story
- Design a dashboard for achieving business outcomes
- Design and Create Infographics for broad communication
Who Should Attend
This course is designed as an introductory course for anyone with an interest in data storytelling. Specifically:
- Participants working in client facing roles, interacting with various stakeholders or departments within the organisation, leading teams or working with data analysis/data visualisation regularly would find this course useful
- Participants with a work experience of 2 years or more will appreciate this course better
Pre-requisites
Basic Excel and PowerPoint skills are assumed.
Participants with limited knowledge of the above may consider acquiring them via GCF Learn for Excel & PowerPoint
Important notes
• Please note that this is NOT a substitute for a tool training course. If you are expecting to learn Tableau or XL or other tools during this course you might be better served with other options online.
What to Bring
Participants must bring their internet-enabled computing device (laptops, tablet etc) with power charger to access and download course materials.
If you are bringing a laptop, please refer to the full tech spec here.
ICT and SS Competency Framework
ICT and SS Competency Framework
As part of the ICTCF, this course falls under the Data Science & AI functional clusters and tagged to the following competencies:
- Visual Analytics Principles
- Data Storytelling
The course is mapped to the following job roles:
- WOG GPO
- Data Engineer
- Quantitative Analyst
- Chief Data Officer
Course Structure
This course will cover the following topics:
- Data story boarding framework and workshop
- Visual selection framework and workshop
- Best practices of visualisation and presentation, theory and workshop
- Dashboarding concepts and workshop
- Infographics best practices and workshop
Instructors
Fees
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Full Fee
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Full course fee
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S$1800
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7% GST on nett course fee
|
S$126
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| Total nett course fee payable, including GST |
S$1926 |
With effect till 31 Dec 2022
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Full Fee
|
|
Full course fee
|
S$1800
|
|
7% GST on nett course fee
|
S$144
|
| Total nett course fee payable, including GST |
S$1944 |
With effect from 1 Jan 2023 till 31 Dec 2023
Upcoming Classes
Class 1
Duration: 3 days
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24 Feb 2023 to 28 Feb 2023 (Full Time)
When :
Time : 9am -5pm
Registration:
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Class 2
Duration: 3 days
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06 Mar 2023 to 08 Mar 2023 (Full Time)
When :
Time : 9:00am - 5:00pm
Registration:
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Class 3
Duration: 3 days
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29 May 2023 to 31 May 2023 (Full Time)
When :
Time : 9:00am - 5:00pm
Registration:
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Class 4
Duration: 3 days
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16 Aug 2023 to 18 Aug 2023 (Full Time)
When :
Time : 9:00am - 5:00pm
Registration:
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Class 5
Duration: 3 days
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07 Nov 2023 to 09 Nov 2023 (Full Time)
When :
Time : 9:00am - 5:00pm
Registration:
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Class 6
Duration: 3 days
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28 Feb 2024 to 01 Mar 2024 (Full Time)
When :
Time : 9:00am - 5:00pm
Registration:
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How To Register
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Step 1
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Apply through your organisation's training request system. |
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Step 2
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Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the course.
Your organisation will send registration information to the academy.
Organisation HR L&D or equivalent staff can click here for details of the registration submission process.
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Step 3
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The Digital Academy will inform you whether you have been successful in enrolment.
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