AI-Powered Data Storytelling and Visualisation
About This Course
This course is designed to equip learners with in-demand skills in data visualisation and communication. Through a blend of classroom instruction and hands-on exercises, the course covers the use of industry-leading tools like Power BI, GenAI and flourish to transform raw data into impactful visuals and narratives.
Learners will be trained on techniques like data cleaning, exploratory data analysis, visual encoding, dashboard design, and interactive storytelling using these tools.
These hands-on skills in data visualisation software and techniques are highly valued by employers, as they enable learners to transform raw data into visually appealing and insightful presentations.
Crucially, the course integrates the application of artificial intelligence and machine learning technologies to elevate the data storytelling process.
Learners will gain experience in AI-powered data preprocessing, intelligent visualisation recommendations to create sophisticated, interactive data presentations.
By mastering these AI-infused data visualisation and storytelling techniques, learners become highly valuable assets, equipped with future-ready skills that are in high demand across data-driven industries.
The practical, software-focused approach of the course ensures learners can immediately apply these skills to deliver meaningful, visually compelling data insights to stakeholders.
What You'll Learn
LO1: Interpret data analysis and findings, including the ability to draw meaningful insights and conclusions.
LO2: Organise data presentations to accurately reflect trends and correlations in a visually compelling way, and provide insightful commentary that describes the context and underlying factors behind the visualised data patterns.
LO3: Identify the suitability types of data representations and visual displays approaches for different contexts to the intended audience.
LO4: Select effective visualisation methods and information displays to aid business decision-making.
LO5: Develop dashboards and scorecards comprising basic elements in the data dashboards layout to display internal data and external benchmark data.
LO6: Integrate interactive graphics, visuals and technical features into data presentation using data visualisation tools and techniques.
LO7: Adjust language and presentation formats when describing data key meaning and insights according to the audience being communicated to.
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
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).