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 […]
Tag: Data Literacy
In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these established categories. It is useful […]
Credit Loan Approval Analysis, Data Literacy, Fraud Analysis, KNN Classification Analysis, Training for Citizen Data Scientist 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 In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables. It […]
Bank Loans, Binary Logistic Regression Classification, Data Literacy, Medical Treatments, Training for Citizen Data Scientist 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 describes the Simple Linear Regression method of analysis. What is Simple Linear Regression? Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). This method helps a business to identify […]
Data Literacy, eCommerce, Product Sales Management, Simple Linear Regression, Training for Citizen Data Scientist 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 