![]() Inferential statistics, on the other hand, help in finding insights from data analysis. It is different from inferential statistics as it helps to visualize the data in a meaningful way in the form of plots. Descriptive statistics offers a way to visualize the data to present it in a readable and meaningful way. Descriptive Statisticsĭescriptive statistics help to analyze the raw data to find the primary and necessary features from it. īelow are the basic Statistics concepts that a Data Scientist should know: 1. The descriptive statistics and knowledge of probability are must-know data science concepts. ![]() This can be inferred from the fact that statistics help to interpret and organize data. Data scientists must know the statistics very well. Statistics is a broad field that offers many applications. Statistics make a central part of data science. Read: Highest Paying Data Science Jobs in India Statistics Concepts Needed for Data Science Learn Data Science Courses online at upGrad ![]() Whether you are a beginner in the field or want to explore more about it or you want to transition into this multifaceted field, this article will help you understand Data Science more by exploring the basic Data Science concepts. In this article, I will share the basic Data Science concepts that one should know before transitioning into the field. Therefore, a person should be clear with statistics concepts, machine learning, and a programming language such as Python or R to be successful in this field. It helps to analyze the raw data and find the hidden patterns. Data Science is the field that helps in extracting meaningful insights from data using programming skills, domain knowledge, and mathematical and statistical knowledge. ![]()
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