Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
Teaching
Data Analytics for Managers and Peasants
Tools
Teaching
Data Analytics for Managers and Peasants
Tools
Introduction to R and RStudio
Introduction to Radiant
Introduction to Orange
Descriptive Analytics
Data
Summaries
Counts
Quantities
Groups
Densities
Groups and Densities
Change
Proportions
Parts of a Whole
Evolution and Flow
Ratings and Rankings
Surveys
Time
Space
Networks
Experiments
Miscellaneous Graphing Tools, and References
Statistical Inference
🧭 Basics of Statistical Inference
🎲 Samples, Populations, Statistics and Inference
Basics of Randomization Tests
🃏 Inference for a Single Mean
Inference for Two Independent Means
🃏 Inference for Comparing Two Paired Means
Comparing Multiple Means with ANOVA
Inference for Correlation
🃏 Testing a Single Proportion
🃏 Inference Test for Two Proportions
Inferential Modelling
Modelling with Linear Regression
Modelling with Logistic Regression
🕔 Modelling and Predicting Time Series
Predictive Modelling
🐉 Intro to Orange
ML - Regression
ML - Classification
ML - Clustering
Prescriptive Modelling
📐 Intro to Linear Programming
💭 The Simplex Method - Intuitively
content/courses/Analytics/Prescriptive/Modules/30-SimlexMethodExcel/index.qmd
Workflow
Facing the Abyss
I Publish, therefore I Am
Case Studies
Demo:Product Packaging and Elderly People
Ikea Furniture
Movie Profits
Gender at the Work Place
Heptathlon
School Scores
Children’s Games
Valentine’s Day Spending
Women Live Longer?
Hearing Loss in Children
California Transit Payments
Seaweed Nutrients
Coffee Flavours
Legionnaire’s Disease in the USA
Antarctic Sea ice
William Farr’s Observations on Cholera in London
R for Artists and Managers
🕶 Lab-1: Science, Human Experience, Experiments, and Data
Lab-2: Down the R-abbit Hole…
Lab-3: Drink Me!
Lab-4: I say what I mean and I mean what I say
Lab-5: Twas brillig, and the slithy toves…
Lab-6: These Roses have been Painted !!
Lab-7: The Lobster Quadrille
Lab-8: Did you ever see such a thing as a drawing of a muchness?
Lab-9: If you please sir…which way to the Secret Garden?
Lab-10: An Invitation from the Queen…to play Croquet
Lab-11: The Queen of Hearts, She Made some Tarts
Lab-12: Time is a Him!!
Iteration: Learning to purrr
Lab-13: Old Tortoise Taught Us
Lab-14: You’re are Nothing but a Pack of Cards!!
ML for Artists and Managers
🐉 Intro to Orange
ML - Regression
ML - Classification
ML - Clustering
🕔 Modelling Time Series
TRIZ for Problem Solvers
I am Water
I am What I yam
Birds of Different Feathers
I Connect therefore I am
I Think, Therefore I am
The Art of Parallel Thinking
A Year of Metaphoric Thinking
TRIZ - Problems and Contradictions
TRIZ - The Unreasonable Effectiveness of Available Resources
TRIZ - The Ideal Final Result
TRIZ - A Contradictory Language
TRIZ - The Contradiction Matrix Workflow
TRIZ - The Laws of Evolution
TRIZ - Substance Field Analysis, and ARIZ
Math Models in Design
Tools and Installation
Working with Shape
Working with Sound
Working with Networks
Working with Chance
Working with Text
Working with Time
Working With Thoughts
Data Science with No Code
Data
Orange
Summaries
Counts
Quantity
Groups
Change
Rhythm
Proportions
Ranking
Flow
Structure
Space
Networks
Surveys
Experiments
Literary Jukebox: In Short, the World
Italy - Dino Buzzati
France - Guy de Maupassant
Japan - Hisaye Yamamoto
Peru - Ventura Garcia Calderon
Russia - Maxim Gorky
Egypt - Alifa Rifaat
Brazil - Clarice Lispector
England - V S Pritchett
Russia - Ivan Bunin
Czechia - Milan Kundera
Sweden - Lars Gustaffsson
Canada - John Cheever
Ireland - William Trevor
USA - Raymond Carver
Italy - Primo Levi
India - Ruth Prawer Jhabvala
USA - Carson McCullers
Zimbabwe - Petina Gappah
India - Bharati Mukherjee
USA - Lucia Berlin
USA - Grace Paley
England - Angela Carter
USA - Kurt Vonnegut
Spain-Merce Rodoreda
Israel - Ruth Calderon
Israel - Etgar Keret
Posts
Blogs
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Business Analytics
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Metaphors with Data and Geometry
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NoCode
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Orange
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R
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RStudio
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Radiant
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Teaching
Data Analytics for Managers and Peasants
Tools
Tools and Software
Published
December 31, 2022
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Introduction to R and RStudio
10 min
Introduction to Radiant
2 min
Introduction to Orange
2 min
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Data Analytics for Managers and Peasants
Introduction to R and RStudio
