No Code Data Viz
No Code
Data Visualization
“It is a truth universally acknowledged, that a Srishti Art and Design student, in possession of a good Mac, must be terrified of coding.”
— Code and Prejudice · Jane Austen · 1813
A complete course in data storytelling, visualization, and analysis — using only point-and-click tools. No code. No intimidation. Just insight.
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Data Science for Curious Minds
— No Code Required
This course takes art and design students on a journey through data — exploring, visualizing, questioning, and storytelling — using only free, visual, drag-and-drop tools.
Designed for Designers
Built for students at Srishti who think visually. Data becomes a design material — something to sketch with, arrange, and make beautiful.
Real Data, Real Stories
From Olympic swimming results to life expectancy trends — every module uses authentic datasets drawn from human experience.
From Charts to Inference
Go beyond making pretty pictures. Learn to ask sharp questions, spot patterns, and test whether your insights actually matter — statistically.
The Recipe
Great data analysis is like good cooking. We follow a recipe — from sourcing raw ingredients to serving a finished dish.
🛒 Get the Ingredients Together
Learn to shop for data. Appreciate how it was gathered, what it looks like, and how to spot a good variable.
🔪 Wash, Clean, Peel, Grate, Fry
Rapidly create different kinds of charts and tables. Experiment with colour, size, and filtering.
🍴 Sample and Taste
Ask questions of your chart. Does it need more salt? Try to answer with graphs, tables, or plain numbers.
✨ The Element of Surprise
Use your sense of surprise. Develop the intuition that matches data types to the right visual form.
🧪 Does it Matter?
How significant is your insight? Learn when a pattern is real and when it’s just noise in the data.
🍽️ Lay the Table
Tell the story. Annotate graphs with text and insight. Export clean, shareable documents. Decide what to do next.
🔁 Replicate and Reproduce
The best analysts are systematic. Learn to document your process and run the same recipe on new data.
Module Highlights
Each module dives into a specific type of data or visual story. Browse the full listing or jump into any topic that sparks your curiosity.
The Nature of Data
Variables, types, and the science of surprise. What does data actually look like?
Counts & Bar Charts
Visualizing single qualitative variables. Happy families are all alike.
Quantities
When data is numeric — histograms, dot plots, and distribution shapes.
Groups & Comparisons
Side-by-side comparisons across categories and dimensions.
Proportions
Pies, donuts, treemaps — when the part-to-whole relationship is the story.
Maps & Space
Choropleths, cartograms, and geocoding. Where does your data live?
Change Over Time
Line charts, slope graphs, and bump charts for temporal stories.
Networks
Nodes, edges, and connections. Who is linked to whom, and how?
The Toolkit
Every tool in this course is free, runs in a browser or on your laptop, and requires no programming whatsoever.
Orange Data Mining
Point-and-click data science from simple charts all the way to machine learning.
RAWGraphs
Browser-based. No login. Beautiful unusual charts in minutes.
Datawrapper
Publication-quality charts and maps. Used by major newsrooms worldwide.
Flourish Studio
Stunning animated data stories and scrollytelling with zero code.
Observable Plot
Explore and share data in the browser. A no-code mode available too.
Ready to Tell Your Data Story?
Join students at Srishti Manipal Institute in discovering how data can surprise, persuade, and inspire — no code required.
Begin Module 1 →