Data analytics Centers of Excellence (CoEs) are the key to unlocking a company's full potential with data. As a business…
Have you ever felt overwhelmed by all the statistics terminology out there? From sampling distribution to central limit theorem to…
Are you confused about the difference between probability and statistics? You are not alone! Many struggle to determine the key…
In the artificial intelligence (AI) / machine learning (ML) powered world where predictive models have started getting used more often…
Geometric Distribution, a widely used concept in probability theory, is used to represent the probability of achieving success or failure…
As organizations become increasingly data-driven, understanding the value of data is critical for success. The data value chain framework helps…
Key performance indicators (KPIs) are important for any organization. They measure the success or failure of initiatives, projects and products…
Data analysis plays an important role in understanding the world, discovering trends, and making decisions. Having a good understanding of…
It is no secret that data is an essential component in the day-to-day operations of businesses—as well as the decision…
Machine learning models are often trained with a variety of different methods in order to create a more accurate prediction.…
The Classification and Regression Tree (CART) is a supervised machine learning algorithm used for classification, regression. In this blog, we…
Decision tree is one of the most commonly used machine learning algorithms which can be used for solving both classification…
The two-way analysis of variance (ANOVA) test is a powerful tool for analyzing data and uncovering relationships between a dependent…
In statistics, population and sample are two fundamental concepts that help us to better understand data. A population is a…
Account receivables (AR) account for a significant portion of total assets and revenue. However, the account receivable process is typically…
Bayesian thinking is a powerful way of looking at the world, and it can be useful in many real-life situations.…