Develop essential data science & ai skills with expert instruction and practical examples.
About this course:- Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.
With examples ranging from medical testing to sports prediction, you will gain a strong foundation for the study of statistical inference, stochastic processes, randomized algorithms, and other subjects where probability is needed. Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional, to begin with, a statistical population or a statistical model to be studied.
Probability is simply how likely something is to happen. Whenever we're unsure about the outcome of an event, we can talk about the probabilities of certain outcomes-how likely they are. The analysis of events governed by probability is called statistics.
What you'll learn in this courseHow to think about uncertainty and randomnessHow to make good predictionsThe story approach to understanding random variablesCommon probability distributions used in statistics and data scienceMethods for finding the expected value of a random quantityHow to use conditional probability to approach complicated problems.
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