3/18/2023 0 Comments Basic data collection techniquesThere are different types of probability, depending upon the type of event. The higher the value, the event is more likely to happen. Probability is a number whose value lies between 0 and 1. As an example, a toss of a coin predicts the probability of getting a red ball from a bag of colored balls. Probability is the mathematical branch that determines the likelihood of occurrence of any event in a random experiment. 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. Statistics Concepts Needed for Data Science What are the professions which can be opted by data science learners?.What is the importance of machine learning in Data Science?.Explore our Popular Data Science Courses.Top Data Science Skills to Learn in 2022.Statistics Concepts Needed for Data Science.
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