OVERVIEW
About This Programme
The Nano Degree in Visual Analytics for Managers is designed to equip learners with practical skills in data visualisation and business intelligence to support informed managerial decision-making. The programme introduces learners to modern visual analytics tools and techniques, enabling them to transform raw data into meaningful insights through dashboards, storyboards, and interactive reports. Participants will learn to work with multiple data sources, create calculated fields, apply data blending techniques, and design visually compelling analytics solutions.
Delivered through a blended learning approach, the programme combines guided instruction, hands-on lab practice, and self-regulated learning to ensure flexibility and accessibility. Learners will gain the ability to design interactive dashboards, apply data storytelling principles, and develop user-friendly visual interfaces that enhance strategic analysis and business performance. Upon successful completion, participants will receive a Certificate of Achievement from LSBF Singapore.
Hands-On Dashboard Creation – Design and deploy interactive dashboards using industry-relevant BI tools.
Practical Data Storytelling Skills – Transform raw data into compelling visual insights for strategic decision-making.
No Prior Experience Required – Beginner-friendly programme suitable for managers and professionals from any industry.
Career-Enhancing Certification – Earn a Nano Degree Certificate of Achievement to strengthen your professional profile.
what to expect
Course Outline & Learning Outcomes
Course Outline
- Introduction to Data Visualisation– Understand the importance of data visualisation, dashboards, and storyboards in business decision-making and managerial reporting.
- Introduction to Plots and Charts– Analyse different types of graphs and charts, and explore key plotting features used in business intelligence tools.
- Plotting Base Graphs– Create and interpret bar charts, scatterplots, maps, matrices, decomposition trees, and key influencer visuals.
- Manipulating Columns and Data– Perform data joins and blends, create pivot columns, and apply union, merge, and split techniques for data preparation.
- Analytics and Visual Techniques– Apply visual analytics techniques to identify trends and patterns and develop dashboards for business applications.
- Calculated Fields– Create custom calculated columns and segments to enhance data analysis and visual interpretation.
- Controls and User Interaction– Implement user access controls and interactive filters to improve dashboard functionality and usability.
- Dashboard Design and Implementation– Design, build, and deploy interactive dashboards with effective layout, navigation, and user experience principles.
Learning Outcomes
- Explain the principles and importance of data visualisation in managerial decision-making.
- Use business intelligence tools to create basic and advanced visualisations including charts, maps, and analytical plots.
- Prepare and transform data by joining, blending, pivoting, and manipulating datasets from multiple sources.
- Develop calculated fields and custom metrics to enhance analytical insights.
- Design and deploy interactive dashboards with user controls and filtering features.
- Apply data storytelling techniques to communicate trends, patterns, and strategic insights effectively.
Modules
A programme designed to explore beyond subject knowledge
Module 1: Introduction to Data Visualisation
Overview of visual analytics concepts, the role of dashboards and storyboards, and the importance of data visualisation in business decision-making.
Module 2: Introduction to Plots and Charts
Understanding different types of graphs and charting techniques used to represent business data effectively.
Module 3: Plotting Base Graphs
Creating and analysing bar charts, scatterplots, maps, matrices, decomposition trees, and key influencer visuals.
Module 4: Data Preparation and Manipulation
Performing data joins, blends, pivots, and applying merge, split, and transformation techniques.
Module 5: Analytics and Visual Techniques
Applying analytical methods to identify trends, patterns, and insights using visual tools.
Module 6: Calculated Fields and Metrics
Developing custom calculations, derived metrics, and segmented analysis to enhance reporting.
Module 7: Controls and Interactivity
Implementing filters, parameters, and user controls to improve dashboard usability and flexibility.
Module 8: Dashboard Design and Implementation
Designing, building, and deploying interactive dashboards with strong layout, navigation, and user experience principles.
key details
Who is this programme for
Who should attend
This programme is designed for managers, executives, and professionals who want to leverage data visualisation to enhance business decision-making and performance management. It is ideal for individuals seeking to interpret data more effectively, present insights clearly, and support strategic planning through interactive dashboards and visual analytics tools.
The programme is particularly suitable for early- to mid-career professionals in business, finance, marketing, operations, and analytics roles who wish to strengthen their reporting and analytical capabilities. It also benefits entrepreneurs, aspiring data analysts, and professionals returning to the workforce who want to build practical skills in business intelligence and data storytelling without requiring prior technical experience.
Certificate of attendance
A certificate of attendance will be issued to participants who have attended and completed the programme.
FEES (inclusive of gst)
₹̶1̶,̶0̶0̶,̶0̶0̶0̶ ₹60,000
Exclusive Inaugural Offer
ELIGIBILITY
Who can apply for this programme
Minimum Age Requirement
Applicants must be at least 21 years old at the point of enrolment.
Minimum Academic Qualification
Candidates should possess at least one GCE ‘O’ Level qualification or an equivalent secondary education certification
Basic Numeracy Skills
Learners should have foundational numerical ability to interpret data and perform basic analytical tasks.
Basic Computer Literacy
Familiarity with computers, internet usage, and standard office software is required to participate effectively in online and blended learning activities.
English Language Proficiency
Applicants must be able to read, write, speak, and understand English at a level sufficient to follow lessons and complete assessments (equivalent to ESS Literacy Level 6 or similar).
