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 […]
This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates […]
Credit Card Delinquency, Data Literacy, Karl Pearson Correlation, Training for Citizen Data Scientist 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 provides a brief explanation of the SVM Classification method of analytics. What is SVM Classification Analysis? SVM Classifications are based on the idea of finding a hyper plane that best divides a dataset into predefined classes, as shown in the image below. The […]
Credit Loan Approval, Data Literacy, Fraud Analysis, Medical Diagnosis, SVM Classification, Training for Citizen Data Scientist 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 In this article, we will discuss the Decision Tree analysis method. What is Decision Tree Analysis? There are two basic types of decision tree analysis: Classification and Regression. 1) Classification Trees are used when the target variable is categorical and, as the name implies, are […]
Classification Trees, Customer Segments, Data Literacy, Decision Tree Analysis, Online Shopping, Regression Trees, Training for Citizen Data Scientist This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to […]
Chi Square Test, Citizen Data Scientist, Data Literacy, Market Research, Retail Store Marketing This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence […]
Citizen Data Scientist, Data Literacy, FP Growth Analysis, Frequent Pattern Mining, Product Bundling This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. This analytical forecasting […]
ARIMA Forecasting, Data Literacy, Pharmaceutical Sales Forecast, Training for Citizen Data Scientist This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm? Logistic regression measures the relationship between the categorical target variable and one or more independent variables It deals with situations in […]
Citizen Data Scientist, Data Literacy, Multinomial Logistic Regression Classification, Satisfaction Analysis, Weather Prediction 