Data Storytelling

Overview

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

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

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

    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

    Instructors


    Fees

    Fees


    Full Fee

    Full course fee

    S$1800

    7% GST on nett course fee

    S$126

    Total nett course fee payable, including GST S$1926

    With effect till 31 Dec 2022




    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

    Upcoming Classes

    Class 1

    Duration: 3 days

    24 Feb 2023 to 28 Feb 2023 (Full Time)

    When :
    Feb:
    24, 27, 28

    Time : 9am -5pm
    Registration:

    Class 2

    Duration: 3 days

    06 Mar 2023 to 08 Mar 2023 (Full Time)

    When :
    Mar:
    06, 07, 08

    Time : 9:00am - 5:00pm
    Registration:

    Class 3

    Duration: 3 days

    29 May 2023 to 31 May 2023 (Full Time)

    When :
    May:
    29, 30, 31

    Time : 9:00am - 5:00pm
    Registration:

    Class 4

    Duration: 3 days

    16 Aug 2023 to 18 Aug 2023 (Full Time)

    When :
    Aug:
    16, 17, 18

    Time : 9:00am - 5:00pm
    Registration:

    Class 5

    Duration: 3 days

    07 Nov 2023 to 09 Nov 2023 (Full Time)

    When :
    Nov:
    07, 08, 09

    Time : 9:00am - 5:00pm
    Registration:

    Class 6

    Duration: 3 days

    28 Feb 2024 to 01 Mar 2024 (Full Time)

    When :
    Feb:
    28, 29
    Mar:
    01

    Time : 9:00am - 5:00pm
    Registration:

    How To Register

    How To Register


    Agency-sponsored

    Step 1 Apply through your organisation's training request system.

    Step 2 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.


    Step 3 The Digital Academy will inform you whether you have been successful in enrolment.