Learn Probability Distribution in this free online Data Science course
Learn how scientists use data analytics and machine learning models to work out probability distribution and draw useful research conclusions from samples.
This data science course explains probability distribution, something that anyone who wants to enter the field of data analytics and statistics needs to understand. We show you how data scientists use their knowledge of probability distribution to create machine learning models. We establish the importance of distributions in data analytics and show you how to develop models and use software to turn raw data into useful information.
What You Will Learn In This Free Course
Introduction to probability
In this module, you will learn about the different ways of assigning probability including marginal and conditional probability. You will also learn about the properties of probability distribution.
Sampling and Sampling Distribution
In this problem, you will about how problems are solved using probability distribution. You will also learn about the types of sampling, the differences between inferential and descriptive statistics.; Module
Course assessment
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