This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. The article series is designed to […]
Tag: Citizen Data Scientist
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’. What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal structures from data sets found […]
Citizen Data Scientist, Data Literacy, Frequent Pattern Mining Association, Marketing and Selling, Medical Treatments This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). It is useful in identifying important factors […]
Agriculture Production, Citizen Data Scientist, Data Literacy, eCommerce, Multiple Linear Regression This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between […]
Citizen Data Scientist, Data Literacy, Grocery Store Sales, Human Resources, Independent Samples T Test, Marketing This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied. What is Sampling Analysis? Sampling is the technique of selecting a representative part of a population for […]
Average Value, Categorical Value by Sub Group, Citizen Data Scientist, Data Literacy, Simple Random Sampling, Stratified Random Sampling, Training for Citizen Data Scientist This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What is Spearman’s Rank Correlation? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables […]
Citizen Data Scientist, Data Literacy, Education, Market Research, Spearman’s Rank Correlation This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., […]
Citizen Data Scientist, Data Literacy, Grocery Store Sales, Manufacturing Cycle Time, Paired Sample T Test This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more […]
ARIMAX Forecasting, Citizen Data Scientist, Data Literacy, Product Forecast This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering? Hierarchical Clustering is a process by which objects are classified into a number of groups so that they are as […]
Citizen Data Scientist, Data Literacy, Hierarchical Clustering, Loan Applications, Marketing, Product Preferences This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those […]
Citizen Data Scientist, Data Literacy, Error Identification, Niche Analysis, Outlier Analysis 