Data Storytelling and Visualisation
About This Course
By the end of the course, learners will be able to confidently use data visualisation and storytelling to communicate complex ideas and insights to a variety of audiences. The course objectives include:
- Interpret the context of data and make informed decisions based on it.
- Communicate the limitations of data and interpretations of findings to their audience.
- provide insightful commentary that describes the context and underlying factors behind the visualised data patterns.
- understand the importance of selecting the appropriate data visualisation techniques to effectively communicate the message.
- communicate complex data insights in a clear and concise manner.
- benchmark both internal and external data to improve data-driven decision-making skills and enhanced business outcomes.
- communicate complex data insights more effectively.
- create visual dashboard to communicate complex data insights to different audiences, making it easier for them to make informed decisions based on the displayed data.
What You'll Learn
Explore 7 Engaging Data Storytelling Models
Myckinsey Pyramid Principles- Elevate Your Data Presentation Skills
Freytag’s Pyramid- Craft Powerful Data Narratives
Power BI– Diagnose, strategize, predict, visualise and share data through interactive dashboards.
Spreadsheet / Excel– Learn beyond basic spreadsheets for advanced data visualisation functions.
Contextual Interpretation: Break free from merely looking at data. Understand the implications, consequences, and contextual nuances behind the numbers.
Bias Recognition: Navigate the pitfalls of potential biases and uncertainties, ensuring accurate and unbiased interpretations.
Pattern Recognition: Explain the why behind data patterns, avoiding incorrect conclusions and enabling sound decision-making.
Effective Communication: Learn to communicate limitations, findings, and insights clearly, avoiding confusion and misinterpretations.
Visual Excellence: Master the art of creating visually appealing, easy-to-read, and meaningful data visualisations.
Gain real-world perspectives through industry examples and real-time case studies.
Entry Requirements
Learners are expected to:
Have completed GCE “N” Level or in the absence, be able to comprehend , read, write and speak English and with Numeracy at WSQ Workplace Literacy (WPLN) Level 5
No prior technical qualifications or experience is required but learners are expected to have:
Basic computer literacy
Basic Internet Usage skills
Min 1 year experience in the proposed job roles or 1 year relevant working experience in the related industries.
Learners who do not qualify in terms of education, literacy and/or numeracy but have at least 1 year of working experience in any industry will be admitted on a case-by-case basis, subject to approval by Bells Management Representative (MR).