Lesson 61 – Resto


It is a journey, long haul. Let’s take an exit, stretch our legs, get a coffee and trace our tracks.

Seeing Data and Making Friends with R

Lesson 1: When you see something, say data

Lesson 2: R is your companion

Sets and Properties

Lesson 3: Sets

Lesson 4: Visualizing Sets

Probability, Axioms, And rules

Lesson 6: Defining Probability

Lesson 7: Axioms of Probability

Lesson 9: Conditional Probability

Lesson 10: Independent Events

Lesson 12: Total Probability

Lesson 13: Bayes Rule

More R: Shortcuts, for, if-else, and functions
Lesson 5: Let us 'R'eview

Lesson 8: The search 'for' w'if'i

Lesson 11: Fran, the functionin' R-bot
Exploratory Data Analysis

Lesson 14: Order Statistics

Lesson 15: Frequency Plots

Lesson 16: Average

Lesson 17: Variance

Lesson 18: Skewness

Lesson 19: Outliers

Lesson 20: Coefficient of Variation

Random Variables, Expectation and others

Lesson 22: Random Variable

Lesson 23: Probability Distribution

Lesson 24: Expectation Operation

Lesson 25: More Expectation

Lesson 26: Variance Operation

Lesson 27: More Variance

Lesson 28: Standardization

More R: data exploration and large number games
Lesson 21: Beginners guide to summarize data in R

Lesson 29: Large number games in R
Discrete Probability Distributions

Lesson 31: Bernoulli Trials

Lesson 32: Binomial Distribution

Lesson 33: Geometric Distribution

Lesson 34: Return Period

Lesson 35: Negative Binomial Distribution

Lesson 36: Poisson Distribution

Lesson 37: Still Poisson Distribution

Lesson 38: Hypergeometric Distribution

Continuous Probability Distributions

Lesson 41: Continuous Functions

Lesson 42: Beta Distribution

Lesson 43: Exponential Distribution

Lesson 44: Memoryless Property

Lesson 45: Gamma Distribution

Lesson 46: Convolution

Lesson 47: Central Limit Theorem Visuals

Lesson 48: Central Limit Theorem Derivation

Lesson 49: Normal Distribution

Lesson 50: The Standard Normal Distribution

Lesson 51: Guest Blog: Prof. Upmanu Lall from Columbia University

Lesson 52: Lognormal Distribution

Lesson 53: Chi-square Distribution

Lesson 54: The Connection of Probability Distributions to Bernoulli

More R: Discrete and Continuous Distributions
Lesson 39: Discrete Distributions in R Part I

Lesson 40: Discrete Distributions in R Part II

Lesson 55: Continuous Distributions in R Part I

Lesson 56: Continuous Distributions in R Part II
Extreme Value Distributions

Lesson 57: Visual Understanding of Extreme Values

Lesson 58: Basics of Extreme Value Distributions

Lesson 59: Generalized Extreme Value Distribution

More R: Extreme Value Distributions
Lesson 60: Extreme Value Distributions in R
Inference

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