Programming
Designing for Mobile-First Analytics
Stakeholders check stats on their phones. This micro-lesson focuses on responsive grid systems specifically for data visualizations.
Level: BeginnerProgramming
What You'll Learn
Responsive grid systems for data visualizations
Mobile-first CSS breakpoints for dashboards
Touch-friendly chart interactions
Collapsing 4-column layouts to mobile stacks
Optimising chart render performance on mobile
Tailwind CSS grid patterns for analytics UIs
Converting desktop dashboards to scrollable mobile views
What's Included
๐งญAI Tutor๐
Interactive learning path with AI-generated lessons read aloud by your personal tutor
๐งชPractice Lab๐
Step-by-step lab instructions with AI guidance โ run in your own IDE or sandbox.
๐๏ธMock Interviews๐
AI interviewer asks tailored questions, gives real-time feedback and a score report
๐Evaluation๐
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
โ๏ธChallenge AI๐
Compete head-to-head against AI on real production problems โ judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Module 1: Mobile-First Design Principles
- โขWhy desktop-first dashboards fail on mobile
- โขCSS Grid vs Flexbox for responsive analytics
- โขTailwind breakpoints: sm / md / lg / xl
- โขViewport units and fluid typography
- โขStakeholder dashboard habits on mobile
Module 2: Responsive Chart Patterns
- โขMaking Chart.js charts fully responsive
- โขTouch events: tap, swipe, pinch-zoom on charts
- โขSimplified mobile legends and labels
- โขLazy loading charts below the fold
- โขReducing data density for small screens
Module 3: 4-Column to Mobile Stack
- โขAnatomy of a 4-column desktop dashboard
- โขPriority stacking: which KPIs appear first on mobile
- โขImplementing the scrollable mobile stack layout
- โขProgressive disclosure: show/hide detail panels
- โขCapstone: convert a desktop dashboard to mobile-first
You're all set
Everything in this course is unlocked.
Continue Learning โโAI Tutor
โPractice Lab
โMock Interviews
โEvaluation
โChallenge AI