← Back to the catalogueData Visualization
Beginner to Intermediate
Level
Classroom . Online . Hybrid
Mode
Course overview
A visualisation craft course: choosing, designing and annotating charts that communicate a finding. Tool-agnostic and principle-led: how visual encoding works, which chart answers which question, how colour and layout carry meaning, and how to annotate so the reader sees what matters. Learners redesign a set of poor charts and present a dashboard critique with fixes.
O02
O1 03 os O7
Who it is for
- Analysts and report builders
- Managers presenting data
- Researchers and academics
- Designers working with data
Prerequisites
Basic data familiarity. Any charting tool is acceptable.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Dashboard Critique and Redesign
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Match chart type to question and data structure.
02
Use colour intentionally and accessibly.
03
Annotate charts so the takeaway is unmissable.
04
Critique and redesign existing charts.
05
Encode values accurately without distortion.
06
Reduce clutter without removing meaning.
07
Lay out dashboards by reading order and priority.
Module structure
8 modulesModule 01
Perception and Encoding
Visual channels . Accuracy of encodings . Pre-attentive attributes . Gestalt grouping
Distribution . Relationship . When tables beat charts
Sequential, diverging, categorical palettes . Typography in charts . Brand constraints
Module 04
Clutter and Clarity
Data-ink . Gridlines and axes . Direct labelling . Sorting . Aggregation levels . Small multiples
Module 05
Annotation and Narrative
Titles that state findings . Reference bands . Sequencing . Explanatory vs exploratory
Module 06
Dashboard Design
Reading order . Grouping and hierarchy . Filters and defaults . Density . Mobile layouts . Refresh cadence
Module 07
Specialised Charts
Maps and geography . Funnels . Waterfalls . Sankey and treemaps . Gauges and their misuse
Module 08
Accessibility and Delivery
Alt text . Print and export . Presenting live . Handover documentation
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
Data AnalystBusiness Intelligence DeveloperReporting SpecialistData JournalistInformation Designer
