Канал: Scott Burk

2024 Texas State TXST STEM Conference Keynote Panel AI and Healthcare April 9 2024

2024 Texas State TXST STEM Conference Keynote Panel AI and Healthcare April 9 2024

Business Analytics Field Business Case A Better Statistical Method for A/B Testing in Marketing

Business Analytics Field Business Case A Better Statistical Method for A/B Testing in Marketing

The Business Analytics Field Business Case – Pricing Science for B2B – Part 2 Normalization – Deeper

The Business Analytics Field Business Case – Pricing Science for B2B – Part 2 Normalization – Deeper

The Business Analytics Field, My 2024 Predictions, How to Use the AI Revolution for Benefit or Harm

The Business Analytics Field, My 2024 Predictions, How to Use the AI Revolution for Benefit or Harm

Business Analytics Pricing Science #9

Business Analytics Pricing Science #9

Business Analytics Field Terminology Soup! Back to Decision Science? Video #8

Business Analytics Field Terminology Soup! Back to Decision Science? Video #8

The Business Analytics Field, Dark and Diverse Data Video #7

The Business Analytics Field, Dark and Diverse Data Video #7

Thoughts for Entering the Business Analytics Field, THE AI MESS Video #6

Thoughts for Entering the Business Analytics Field, THE AI MESS Video #6

Video #5 Thoughts for Entering the Business Analytics Field What you should Know, 1st Foundation

Video #5 Thoughts for Entering the Business Analytics Field What you should Know, 1st Foundation

Thoughts for Entering the Business Analytics Field, Video #4 - What you should Know, 3 Foundations

Thoughts for Entering the Business Analytics Field, Video #4 - What you should Know, 3 Foundations

Thoughts for Entering the Business Analytics Field #3 - Use Cases!

Thoughts for Entering the Business Analytics Field #3 - Use Cases!

Thoughts for Entering the Business Analytics Field #2

Thoughts for Entering the Business Analytics Field #2

Thoughts for Entering the Business Analytics Field The BIG Picture - Video #1

Thoughts for Entering the Business Analytics Field The BIG Picture - Video #1

R Lab #1 Introduction to R - Part 1B

R Lab #1 Introduction to R - Part 1B

R Lab #1 Introduction to R - Part 2

R Lab #1 Introduction to R - Part 2

R Lab 1 Introduction to R Part 1

R Lab 1 Introduction to R Part 1

NLP and Text Analytics, Part 1 Vocabulary, Lexicon, Taxonomy and Ontologies

NLP and Text Analytics, Part 1 Vocabulary, Lexicon, Taxonomy and Ontologies

Bill Inmon Call Centers, Hearing the Voice of Your Customer

Bill Inmon Call Centers, Hearing the Voice of Your Customer

Recursive Programming in R A Simple Example

Recursive Programming in R A Simple Example

When will the world end? The Monks and R can Help!

When will the world end? The Monks and R can Help!

Excel vs R, Simple Math , Exponentiation, Factorials, Pi, Areas, Fibonaci Primes

Excel vs R, Simple Math , Exponentiation, Factorials, Pi, Areas, Fibonaci Primes

Test for Equality of Treatments in a Repeated Measures Design Using R

Test for Equality of Treatments in a Repeated Measures Design Using R

How to Calculate Multivariate T-Square Statistic in R for Multiple Inference

How to Calculate Multivariate T-Square Statistic in R for Multiple Inference

Bayes08 Bayesian Statistics – Did Human Error Kill Everyone?

Bayes08 Bayesian Statistics – Did Human Error Kill Everyone?

Bayes07 Bayesian Statistics and Decisions – Simple Example CALCULATIONS Lung Cancer, Student Testing

Bayes07 Bayesian Statistics and Decisions – Simple Example CALCULATIONS Lung Cancer, Student Testing

Bayes06 Bayesian Statistics and Decisions – Simple Explanation of Bayes Theorem

Bayes06 Bayesian Statistics and Decisions – Simple Explanation of Bayes Theorem

Bayes05 Bayesian Statistics and Decisions – Conditional Probability and Dependence

Bayes05 Bayesian Statistics and Decisions – Conditional Probability and Dependence

Bayes04 Bayesian Statistics and Decisions – Probability and Decision Making

Bayes04 Bayesian Statistics and Decisions – Probability and Decision Making

Native Concepts non libraries of Matrix Algebra in R (Part 2)

Native Concepts non libraries of Matrix Algebra in R (Part 2)

Native Concepts (non libraries) of Matrix Algebra in R

Native Concepts (non libraries) of Matrix Algebra in R

Bayes03 Bayesian Statistics and Decisions – The Frequency Interpretation of Probability

Bayes03 Bayesian Statistics and Decisions – The Frequency Interpretation of Probability

Bayes02 Bayesian Statistics and Decisions – Measuring Uncertainty with Probability, Some Math

Bayes02 Bayesian Statistics and Decisions – Measuring Uncertainty with Probability, Some Math

SAS IML to R Conversion Eignevlaues, Eigenvectors and Spectral Decompostion

SAS IML to R Conversion Eignevlaues, Eigenvectors and Spectral Decompostion

Eigenvalues, Eigenvectors and Spectral Decomposition in R

Eigenvalues, Eigenvectors and Spectral Decomposition in R

01 Bayesian Applications Linear Regression with Python, PyMC3

01 Bayesian Applications Linear Regression with Python, PyMC3

Bayes01 Bayesian Statistics and Decisions – Introduction

Bayes01 Bayesian Statistics and Decisions – Introduction

Bayes00 Bayesian Statistics and Decisions – Series Objectives and Coverage

Bayes00 Bayesian Statistics and Decisions – Series Objectives and Coverage

EG12 Looking Forward Overview of Leadership Priorities

EG12 Looking Forward Overview of Leadership Priorities

EG11 The Illusion of the Visionary Leader

EG11 The Illusion of the Visionary Leader

EG10 EG Leadership Failures Hands Off Leaders

EG10 EG Leadership Failures Hands Off Leaders

EG09 Executive Guide to AI & Analytics Success – Why People Don’t Get it

EG09 Executive Guide to AI & Analytics Success – Why People Don’t Get it

EG08 Execution must be the DNA of the Organization’s Structure and Culture

EG08 Execution must be the DNA of the Organization’s Structure and Culture

EG07 Executive Job #1 = Execution

EG07 Executive Job #1 = Execution

EG06 Execution Breaks Down in 4 Ways

EG06 Execution Breaks Down in 4 Ways

EG05 Executive Guide to AI Analytics Success - Execution is Integral to Strategy

EG05 Executive Guide to AI Analytics Success - Execution is Integral to Strategy

EG04 What is Execution and Why is it Important + Leadership vs Management

EG04 What is Execution and Why is it Important + Leadership vs Management

EG03 Introduction to Overcoming AI and Analytics Failure

EG03 Introduction to Overcoming AI and Analytics Failure

EG02 Executive Guide to AI and Analytics Success A Story of Failure

EG02 Executive Guide to AI and Analytics Success A Story of Failure

EG01 Executive Guide to AI and Analytics Success Sources of Failure

EG01 Executive Guide to AI and Analytics Success Sources of Failure

EG00 Executive Guide to AI & Analytics Success - Introduction to the Series

EG00 Executive Guide to AI & Analytics Success - Introduction to the Series

An Introduction to Content Based Strategies for Recommendation Systems (Part 2)

An Introduction to Content Based Strategies for Recommendation Systems (Part 2)

TS02 Time Series Analysis and Forecasting Brief Considerations, Part 2

TS02 Time Series Analysis and Forecasting Brief Considerations, Part 2

An Introduction to Association Rules for Recommendation Systems

An Introduction to Association Rules for Recommendation Systems

TS01 Time Series Analysis and Forecasting - Brief Considerations, Part 1

TS01 Time Series Analysis and Forecasting - Brief Considerations, Part 1

IAA203 It's All Analytics! Data Driven Milwaukee MKE Meetup (2022)

IAA203 It's All Analytics! Data Driven Milwaukee MKE Meetup (2022)

S103 Automated Data Quality Algorithm - Data Health Check

S103 Automated Data Quality Algorithm - Data Health Check

17B Response to Comment 17 Palaiologos on t-tests

17B Response to Comment 17 Palaiologos on t-tests

S102 - Statistica Workbench - How to use processing missing data function to recode to blank

S102 - Statistica Workbench - How to use processing missing data function to recode to blank

S101 – Statistica Workbench - How to change the group order in boxplot

S101 – Statistica Workbench - How to change the group order in boxplot

S100 – Survival Analysis Comparing Two or More Groups

S100 – Survival Analysis Comparing Two or More Groups

S99 Customize a Node with a Script in Data Science Workbench

S99 Customize a Node with a Script in Data Science Workbench

S98 Bivariate 3D Plots – Statistics and Working with An Object vs the Analysis Panel

S98 Bivariate 3D Plots – Statistics and Working with An Object vs the Analysis Panel

S97 How to Determine Your Licensed Features Data Science Workbench Statistica

S97 How to Determine Your Licensed Features Data Science Workbench Statistica

S96 How to make a simple categorized boxplot Data Science Workbench

S96 How to make a simple categorized boxplot Data Science Workbench

S95 How to Break Down Descriptives Data Science Workbench Hints and Tricks

S95 How to Break Down Descriptives Data Science Workbench Hints and Tricks

SPFST04 SPC Statistical Process Control Accelerator

SPFST04 SPC Statistical Process Control Accelerator

S95 Command Line Interface, CLI for Data Science Workbench (Statistica)

S95 Command Line Interface, CLI for Data Science Workbench (Statistica)

S94 Univariate vs Multivariate Data Quality Don't Be Fooled!!

S94 Univariate vs Multivariate Data Quality Don't Be Fooled!!

IAA006 It's All Analytics Program Difficulties Org and Culture Not Technology

IAA006 It's All Analytics Program Difficulties Org and Culture Not Technology

S93 Exploratory Data Analysis and Data Quality

S93 Exploratory Data Analysis and Data Quality

IAA005 It's All Analytics Gaps in Analytics Programs

IAA005 It's All Analytics Gaps in Analytics Programs

S92 PCA, NIPALS and Multivariate Data Quality

S92 PCA, NIPALS and Multivariate Data Quality

Avoid Malpractice - 5 Reasons You Need this Book

Avoid Malpractice - 5 Reasons You Need this Book

IAA004 Spurious Correlation vs Hidden (Lurking) Variables

IAA004 Spurious Correlation vs Hidden (Lurking) Variables

S91 Correcting Issues Reading PDFs in Statistica 13 X Text Mining

S91 Correcting Issues Reading PDFs in Statistica 13 X Text Mining

IAA202 - It's All Analytics! Texas Department of Information Resources (Technology Today Series)

IAA202 - It's All Analytics! Texas Department of Information Resources (Technology Today Series)

IAA003 It's All Analytics! Data Explosion - IoT / IoE

IAA003 It's All Analytics! Data Explosion - IoT / IoE

IAA002 It's All Analytics! Is Data the New Oil?

IAA002 It's All Analytics! Is Data the New Oil?

IAA001 It's All Analytics! Why it is 'Analytics' not 'Data Science' nor 'Statistics' nor 'Big Data'

IAA001 It's All Analytics! Why it is 'Analytics' not 'Data Science' nor 'Statistics' nor 'Big Data'

IAA000 The Book, It's All Analytics! Play List Overview - What's Inside

IAA000 The Book, It's All Analytics! Play List Overview - What's Inside

IAA201 It's All Analytics! Data Driven Milwaukee MKE Meetup

IAA201 It's All Analytics! Data Driven Milwaukee MKE Meetup

R205 Beginner Stats in R Medians, Percentiles and Box Plots

R205 Beginner Stats in R Medians, Percentiles and Box Plots

## R204 Beginner Stats in R Central Tendency and Variation

## R204 Beginner Stats in R Central Tendency and Variation

## R200 Beginner Stats in R Concepts - Populations, Parameters, Samples, Statistics

## R200 Beginner Stats in R Concepts - Populations, Parameters, Samples, Statistics

## R203 Beginner Stats in R - Basic Histogram, Density, Stem and Leaf Plot

## R203 Beginner Stats in R - Basic Histogram, Density, Stem and Leaf Plot

## R202 Beginner Stats in R - Sampling

## R202 Beginner Stats in R - Sampling

R88C US Maps with LatticeExtra and maproj

R88C US Maps with LatticeExtra and maproj

#R88B Advanced Panel Function SPIROGRAPHs Sarkar 2008

#R88B Advanced Panel Function SPIROGRAPHs Sarkar 2008

R88A Advanced Panel Function Hypocycloids Sarkar 2008

R88A Advanced Panel Function Hypocycloids Sarkar 2008

S90 Statistica, Summary Statistics and Chaining Together Output in Visual Workflows

S90 Statistica, Summary Statistics and Chaining Together Output in Visual Workflows

R87C Interact with R Plots Dynamically Label All Related splom points

R87C Interact with R Plots Dynamically Label All Related splom points

R87B Interact with R Plots Dynamically Label Points, trellis focus and unfocus

R87B Interact with R Plots Dynamically Label Points, trellis focus and unfocus

R87A Interact with R Plots Dynamically Place Legend with viewport

R87A Interact with R Plots Dynamically Place Legend with viewport

SPFST24 Industrial Statistics, Process Capability PLUS Visual Dashboard Frontend - SPC, Cpk, more

SPFST24 Industrial Statistics, Process Capability PLUS Visual Dashboard Frontend - SPC, Cpk, more

SB03 Bayes Rule Likelihood of Virus, Given Positive Test Result

SB03 Bayes Rule Likelihood of Virus, Given Positive Test Result

R86 Cool Trellis Graph, Whole Object Paradigm, handling 2 conditioning variables

R86 Cool Trellis Graph, Whole Object Paradigm, handling 2 conditioning variables

SB02 Likelihood of Virus, Given Positive Test Result. Example of Bayes Rule without formulas.

SB02 Likelihood of Virus, Given Positive Test Result. Example of Bayes Rule without formulas.

R85F Explicit Shingle Function for Axis Breaks (Sarkar, Springer)

R85F Explicit Shingle Function for Axis Breaks (Sarkar, Springer)

R85E Plotting Shingles and Related Activities

R85E Plotting Shingles and Related Activities

R85D Subsetting Multivariate Panels in R and RStudio

R85D Subsetting Multivariate Panels in R and RStudio

R85C R Align truncated data, time series data with make.groups()

R85C R Align truncated data, time series data with make.groups()

R85B R Extended Formula Interface, panel rug and missing paired data

R85B R Extended Formula Interface, panel rug and missing paired data

R85A Coerce and Reshape Data for Barcharts LatticeExtra

R85A Coerce and Reshape Data for Barcharts LatticeExtra

SPF04 - SDOH Social Determinants of Health, Multiple Regression in Spotfire, Part 1

SPF04 - SDOH Social Determinants of Health, Multiple Regression in Spotfire, Part 1

SPF02 Three Options to Generate Visualizations in Spotfire

SPF02 Three Options to Generate Visualizations in Spotfire

SPF01 Spotfire Hints and Tricks Geocoding, Match State from Data to Map Layer

SPF01 Spotfire Hints and Tricks Geocoding, Match State from Data to Map Layer

ST103D Part IV, Central Composite Design - Prediction, Response Surfaces and Response Profiles

ST103D Part IV, Central Composite Design - Prediction, Response Surfaces and Response Profiles

ST103C Part III, Analyzing a Central Composite Design Estimating Parameters

ST103C Part III, Analyzing a Central Composite Design Estimating Parameters

ST103B Part II, Analyzing a Central Composite Design – Quadratic Effects

ST103B Part II, Analyzing a Central Composite Design – Quadratic Effects

ST103A Part I, Creating a Central Composite Design

ST103A Part I, Creating a Central Composite Design

R84 Heat Map with levelplot (Sarkar, Springer)

R84 Heat Map with levelplot (Sarkar, Springer)

R83 Cars XY Panel Plot and Double Categorical Overlay Sarkar, Springer

R83 Cars XY Panel Plot and Double Categorical Overlay Sarkar, Springer

R82 Trivariate Displays RColorBrewer

R82 Trivariate Displays RColorBrewer

S89 Statistica Quick Tip Transferring Case Names to Variable

S89 Statistica Quick Tip Transferring Case Names to Variable

SPFST23 Machine Learning Back-end PLUS Visual Dashboard Front-end for SPC and Run Rules

SPFST23 Machine Learning Back-end PLUS Visual Dashboard Front-end for SPC and Run Rules

SPFST22 Machine Learning Back-end PLUS Visual BI Front-end for SPC Variability Charts

SPFST22 Machine Learning Back-end PLUS Visual BI Front-end for SPC Variability Charts

SPFST21 Interoperability of Visual Dashboard Frontend and Machine Learning Backend for SPC

SPFST21 Interoperability of Visual Dashboard Frontend and Machine Learning Backend for SPC

SPFST03 Statistica + Spotfire, Letting Spotfire User Control Parameters of a ML Workflow

SPFST03 Statistica + Spotfire, Letting Spotfire User Control Parameters of a ML Workflow

SPFST02 Statistica + Spotfire, Letting Spotfire User Control Inputs into a Machine Learning Workflow

SPFST02 Statistica + Spotfire, Letting Spotfire User Control Inputs into a Machine Learning Workflow

SPFST01 Statistica + Spotfire, Provisioning Data for the Spotfire User

SPFST01 Statistica + Spotfire, Provisioning Data for the Spotfire User

S88 Statistica Quick Aggregations, GROUP BY, Collapsing Rows

S88 Statistica Quick Aggregations, GROUP BY, Collapsing Rows

S87 Data Science is a Team Sport - Separate Workloads, Use External Workflows

S87 Data Science is a Team Sport - Separate Workloads, Use External Workflows

R81 Very Cool (Klein Bottle) Wireframe 3D Graphical Objects in R

R81 Very Cool (Klein Bottle) Wireframe 3D Graphical Objects in R

R80 3D Spike and Bar Charts using the cloud function in 1 Minute

R80 3D Spike and Bar Charts using the cloud function in 1 Minute

R79 False Color Plot in less than 2 minutes

R79 False Color Plot in less than 2 minutes

R78 Correlation Matrix with levelplot in less than 2 minutes

R78 Correlation Matrix with levelplot in less than 2 minutes

R77 Thumb Nails levelplot, contourplot, wireframe plots

R77 Thumb Nails levelplot, contourplot, wireframe plots

R76 Cool Plots levelplot(), contourplot(), wireframe()

R76 Cool Plots levelplot(), contourplot(), wireframe()

R75 Lattice, Trivariate, wireframe() function

R75 Lattice, Trivariate, wireframe() function

R73 Trivariate and cloud function with ozone data

R73 Trivariate and cloud function with ozone data

R72 Lattice Trivariate Displays Cloud and Maps

R72 Lattice Trivariate Displays Cloud and Maps

R71 Lattice Trivariate Displays Cloud and Cubes

R71 Lattice Trivariate Displays Cloud and Cubes

S86 Citizen Data Scientist, Easy Interface

S86 Citizen Data Scientist, Easy Interface

R70 Parallel Coordinates Plots in ONE MINUTE

R70 Parallel Coordinates Plots in ONE MINUTE

S102 Analyzing Two Level Designs - Experimental Design

S102 Analyzing Two Level Designs - Experimental Design

S101 Generating Two Level Designs - Experimental Designs

S101 Generating Two Level Designs - Experimental Designs

R69 Matrix Scatter Plot and SPLOM

R69 Matrix Scatter Plot and SPLOM

R68 Large Data XY Plots Using hexbin

R68 Large Data XY Plots Using hexbin

R67 Powerful XY Plots in R

R67 Powerful XY Plots in R

S85 Anscombe’s Quartet – You must KNOW your Data!

S85 Anscombe’s Quartet – You must KNOW your Data!

S84 Statistica Quick Tip GROUP BY in Machine Learning, ARIMA and more

S84 Statistica Quick Tip GROUP BY in Machine Learning, ARIMA and more

S83 Quick Hint Statistica Double Y Graphs and Spurious Correlations

S83 Quick Hint Statistica Double Y Graphs and Spurious Correlations

S59 Statistica - Neural Networks for Predicting Hospital Readmissions

S59 Statistica - Neural Networks for Predicting Hospital Readmissions

R 66 Cleveland Dot Plots and Bar Charts of Tables in R

R 66 Cleveland Dot Plots and Bar Charts of Tables in R

#R65 Box and Whisker, Violin and Strip plots

#R65 Box and Whisker, Violin and Strip plots

S82 Statistica Hint, Data Health Check No Downstream Document Check this!

S82 Statistica Hint, Data Health Check No Downstream Document Check this!

S81 Statistica Hint - Not Getting Input Vars with Predictions Try This!

S81 Statistica Hint - Not Getting Input Vars with Predictions Try This!

S80 Statistica Hint, Subsetting a Marked Set of Rows or Cases

S80 Statistica Hint, Subsetting a Marked Set of Rows or Cases

R64B Trellis, Empirical Cumulative Density Functions, Two Sample qq Plots

R64B Trellis, Empirical Cumulative Density Functions, Two Sample qq Plots

R64 Trellis qqmath and qq plots with Box Cox Transforms

R64 Trellis qqmath and qq plots with Box Cox Transforms

S26B Power Analysis and Minimum Sample Size

S26B Power Analysis and Minimum Sample Size

R63 LatticeExtra - Density and Histogram in Two Minutes

R63 LatticeExtra - Density and Histogram in Two Minutes

R51 Probit Regression in R

R51 Probit Regression in R

S46B K Means Clustering Plus What is Driving Cluster Assignment

S46B K Means Clustering Plus What is Driving Cluster Assignment

R62 Multivariate Data Visualization with R, Dot Plots and Bar Charts

R62 Multivariate Data Visualization with R, Dot Plots and Bar Charts

R61 Split Plot DoE Visualization with R, Split Plot DoE Visualization

R61 Split Plot DoE Visualization with R, Split Plot DoE Visualization

R60 Multivariate Data Visualization with R and Lattice, Introduction

R60 Multivariate Data Visualization with R and Lattice, Introduction

S55 Social Network Analytics Creating and Exploring a Network Part 1

S55 Social Network Analytics Creating and Exploring a Network Part 1

R51 Association Rules, Market Basket Analysis in R Recommender Systems

R51 Association Rules, Market Basket Analysis in R Recommender Systems

S28 Link Analytics, Sequence Association Rules Applied to Microsoft Web Logs

S28 Link Analytics, Sequence Association Rules Applied to Microsoft Web Logs

S27 Association Rules Applied to Consumer Preferences

S27 Association Rules Applied to Consumer Preferences

S58 Social Network Analytics and Directed Graph Analysis, Part IV Scoring

S58 Social Network Analytics and Directed Graph Analysis, Part IV Scoring

S57 Social Network Analytics and Directed Graph Analysis, Part III Clustering

S57 Social Network Analytics and Directed Graph Analysis, Part III Clustering

S56 Social Network Analytics and Directed Graph Analysis, Part II Data Setup

S56 Social Network Analytics and Directed Graph Analysis, Part II Data Setup

S49 Non Supervised Machine Learning, Clustering Neural Network, Kohonen Networks

S49 Non Supervised Machine Learning, Clustering Neural Network, Kohonen Networks

R50 Quantile Regression in R. Robust, nonparametric regression

R50 Quantile Regression in R. Robust, nonparametric regression

S48 Non Supervised Machine Learning, Clustering Two Way Joining

S48 Non Supervised Machine Learning, Clustering Two Way Joining

S47 Non Supervised Machine Learning, Clustering (EM Algorithm)

S47 Non Supervised Machine Learning, Clustering (EM Algorithm)

S46 Non Supervised Machine Learning, Clustering (k-means)

S46 Non Supervised Machine Learning, Clustering (k-means)

S45 Non Supervised Machine Learning, Clustering Agglomerative, Joining, Tree Clustering

S45 Non Supervised Machine Learning, Clustering Agglomerative, Joining, Tree Clustering

S26 Multi way ANOVA Analysis of Variance

S26 Multi way ANOVA Analysis of Variance

S25 One Way ANOVA Analysis of Variance

S25 One Way ANOVA Analysis of Variance

S24 Multiple Regression – Check Assumptions

S24 Multiple Regression – Check Assumptions

S23 Build a Simple Multiple Regression Model

S23 Build a Simple Multiple Regression Model

S30 Assigning Misclassification Cost to Machine Learning Models

S30 Assigning Misclassification Cost to Machine Learning Models

S22 Cross tabulation Cross tab Tables

S22 Cross tabulation Cross tab Tables

S21 Frequency Tables

S21 Frequency Tables

S41 Automatic Document Classification, Part II

S41 Automatic Document Classification, Part II

S40 Automatic Document Classification, Part I

S40 Automatic Document Classification, Part I

S20 Basic Nonparametric Methods, Part II

S20 Basic Nonparametric Methods, Part II

S19 Basic Nonparametric Methods, Part I

S19 Basic Nonparametric Methods, Part I

S18 Breakdown and one way ANOVA

S18 Breakdown and one way ANOVA

S17 Statistica t-tests

S17 Statistica t-tests

S16 Statistica Descriptive Statistics and Correlations

S16 Statistica Descriptive Statistics and Correlations

R38 ARIMA, ETS and Cross Validation

R38 ARIMA, ETS and Cross Validation

R37 Seasonal ARIMA Models, Part III

R37 Seasonal ARIMA Models, Part III

R36 Seasonal ARIMA Models, Part II

R36 Seasonal ARIMA Models, Part II

R35 Seasonal ARIMA Models, Part I

R35 Seasonal ARIMA Models, Part I

R34 Some Cursory Comments on fpp2 and auto arima

R34 Some Cursory Comments on fpp2 and auto arima

R33 Understanding Non Seasonal ARIMA models using R via RStudio

R33 Understanding Non Seasonal ARIMA models using R via RStudio

R32 Intro to Non Seasonal ARIMA models in R and RStudio

R32 Intro to Non Seasonal ARIMA models in R and RStudio

R31 Intro to Moving Average MAq Models in R and RStudio

R31 Intro to Moving Average MAq Models in R and RStudio

R30 Intro to Autoregressive ARp Models in R via RStudio

R30 Intro to Autoregressive ARp Models in R via RStudio

R29 Intro to GARCH, Generalized Autoregressive Conditional Heteroskedasticity, , R and RStudio

R29 Intro to GARCH, Generalized Autoregressive Conditional Heteroskedasticity, , R and RStudio

R28 Financial Modeling Intro to Quantmod, Preparing for GARCH, R and RStudio

R28 Financial Modeling Intro to Quantmod, Preparing for GARCH, R and RStudio

R27 Vector Autoregressive (VAR) Models, World Development Indicators, Part IV, R and RStudio

R27 Vector Autoregressive (VAR) Models, World Development Indicators, Part IV, R and RStudio

R26 Creating a Multivariate Time Series in R World Development Indicators, Part III, R and RStudio

R26 Creating a Multivariate Time Series in R World Development Indicators, Part III, R and RStudio

R25 World Development Indicators, Part II Forecasting, R and RStudio

R25 World Development Indicators, Part II Forecasting, R and RStudio

R24 World Development Indicators, Part I Data Exploration Time Series and Forecasting, R and RStudio

R24 World Development Indicators, Part I Data Exploration Time Series and Forecasting, R and RStudio

SDS56 Spotfire Data Science, System Logs

SDS56 Spotfire Data Science, System Logs