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Probability and Statistics Online Courses for College Students (select college)


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Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also... more
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective.... more
Learners will deepen their understanding and appreciation of ways in which race, ethnicity and cultural diversity have shaped American institutions, ideology, law, and social relationships from the... more
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a... more
Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the... more
What does it mean to be influential? How does one persuade others to pursue a unified goal? How does one leverage power? In this course, you\'ll learn how to develop influence and to become more... more
Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions,... more
This course will provide you with a basic, intuitive and practical introduction into Probability Theory. You will be able to learn how to apply Probability Theory in different scenarios and you... more
This course introduces you to sampling and exploring data, as well as basic probability theory and Bayes\' rule. You will examine various types of sampling methods, and discuss how such methods can... more
We have all heard the phrase \"correlation does not equal causation.\" What, then, does equal causation? This course aims to answer that question and more! Over a period of 5 weeks, you will learn... more
The first course of the specialization ANALYZING COMPLEXITY will teach you what unifying patterns lie at the core of all complex problems. It advances your knowledge of your own field by teaching... more
This course describes Bayesian statistics, in which one\'s inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes\' rule to transform prior... more
The objectives of this MOOC are to enable you to learn from applying concepts, exercises and learning from the four other MOOCs in this specialization. Learners involved in our programs over the... more
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and... more
A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or... more
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate... more
This course will teach you the basics of developing mobile applications using Mixed and Augmented Reality (MAR) technologies. Through hands-on projects, you\'ll learn practical techniques to... more
This course teaches you the simple principles expert managers use to improve and motivate employee performance. You\'ll never have to avoid telling an employee \"the truth\" again, because the... more
With this course you will position your own leadership style and grow your resilience In this course, second course of the \"Inspirational Leadership\" Specialization, you will discover the... more
This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes... more