This article is a comprehensive guide to the fundamental statistical concepts that are essential for mastering data science and data analytics. It covers topics such as sample and population …

May 25, 2021 · It effectively categorizes variables into types like categorical, numerical, continuous, and discrete, providing a solid understanding of how to handle different data types …

Mar 29, 2024 · In this article, I have compiled top 15 fundamental statistics concepts that every data science beginner should know! 1. Statistical Sampling and Data Collection. We will learn …

Apr 2, 2025 · In this Statistics cheat sheet, you will find simplified complex statistical concepts, with clear explanations, practical examples, and essential formulas. This cheat sheet will make …

Jan 13, 2023 · In data science, variables are the building blocks of any analysis. They allow us to group, compare, and contrast data points to uncover trends and draw conclusions. But not all …

Jan 13, 2020 · Variance (σ2): measures how spread out a set of data is relative to the mean. Standard Deviation (σ): another measurement of how spread out numbers are in a data set; it …

Aug 27, 2024 · In this guide, I visually break down 11 different types of variables you’ll encounter in datasets, helping you to identify and use them effectively. 1. Independent. Features that are …

Jul 25, 2022 · In this guide, we will provide clarity about the key Statistical concepts required for effective Data Science. Learning these concepts will help you build the statistical intuition and …

Feb 21, 2022 · Categorical data represents qualitative variables like an individual’s gender, blood group, mother tongue, etc. Categorical data also be in the form of numerical values without …

Sep 23, 2020 · Ordinal : An ordinal variable is a categorical variable for which the possible values are ordered (e.g. education level (“high school”, ”BS”, ”MS”, ”PhD”))