Applied Metaphors: Learning TRIZ, Complexity, Data/Stats/ML using Metaphors
Teaching
Data Science with No Code
Structure
Teaching
Data Analytics
Tools
π Introduction to R and RStudio
π Introduction to Radiant
π Introduction to Orange
Descriptive Analytics
πΆ Science, Human Experience, Experiments, and Data
π Descriptive Statistics
π Bar Plots: Plotting Counts
π Histograms: Plotting Quantities
π Boxplots: Plotting Groups
π Densities: Plotting Distributions
π Violins: Plotting Groups and Density
π Scatter Plots: Plotting Correlations
π Mosaics: Plotting Categorical Data
π Likert Plots: Plotting Survey Data
π Line Charts: Plotting Time Series
π Pies: Plotting Parts of a Whole
πΈ Alluvials: Plotting Change, Evolution, and Flow
π Bumps and Radars: Plotting Ratings and Rankings
πΊ Maps: Plotting Spatial Data
Graphs: Plotting Connections
π Miscellaneous Graphing Tools, and References
EDA Workflow
Statistical Inference
π§ Basics of Statistical Inference
π² Samples, Populations, Statistics and Inference
π Inference for a Single Mean
Inference for Two Independent Means
π Inference for Comparing Two Paired Means
Comparing Multiple Means with ANOVA
Inference for Correlation
π Testing a Single Proportion
π Inferences Test for Two Proportions
Inferential Modelling
content/courses/Analytics/Modelling/Modules/LinReg/LinReg.qmd
content/courses/Analytics/Modelling/Modules/LogReg/logistic.qmd
π Modelling and Predicting Time Series
Predictive Modelling
π Intro to Orange
ML - Regression
ML - Classification
ML - Clustering
Prescriptive Modelling
π Intro to Linear Programming
π The Simplex Method - Intuitively
content/courses/Analytics/Prescriptive/Modules/30-SimlexMethodExcel/index.qmd
Workflow
Using FlexDashboard in R
R for Artists and Managers
πΆ Lab-1: Science, Human Experience, Experiments, and Data
Lab-2: Down the R-abbit Holeβ¦
Lab-3: Drink Me!
Lab-4: I say what I mean and I mean what I say
Lab-5: Twas brillig, and the slithy tovesβ¦
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 sirβ¦which way to the Secret Garden?
Lab-10: An Invitation from the Queenβ¦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: Youβre are Nothing but a Pack of Cards!!
ML for Artists and Managers
π Intro to Orange
ML - Regression
ML - Classification
ML - Clustering
π Modelling Time Series
TRIZ for Problem Solving
I am Water
I am What I yam
Birds of Different Feathers
I Connect therefore I am
I Think, Fast and Slow
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
πΆ Data
π Orange
πΆ Summaries
content/courses/NoCode/Modules/20-Histograms/index.qmd
content/courses/NoCode/Modules/22-BarCharts/index.qmd
π’ Groups
π Change
π Rhythm
Proportion
Flow
Share
Structure
Rank
Space
Time
Networks
Surveys
Experiments
Literary Jukebox: In Short, the World
Posts
Blogs
Teaching
Data Science with No Code
Structure
Structure
Author
Arvind V
Back to top
Share
Rank