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



  • 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:
    • Data Engineer
    • Quantitative Analyst

    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




    Upcoming Classes

    Upcoming Classes

    Class 1

    Duration: 3 days

    21 Nov 2022 to 23 Nov 2022 (Full Time)

    When :
    Nov:
    21, 22, 23

    Time : 9am -5pm
    Registration:

    Class 2

    Duration: 3 days

    24 Feb 2023 to 28 Feb 2023 (Full Time)

    When :
    Feb:
    24, 27, 28

    Time : 9am -5pm
    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.