Probability and Statistics Online Courses for University of Oklahoma Students

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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 how to evaluate them. This course will also prepare you for the next course in the specialization -...
This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple...
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. Before beginning the class make sure that you have the following: - A basic understanding of linear...
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 probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of...
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist\'s toolkit. This course covers regression analysis, least...
The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the...
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 how causal effects are defined, what assumptions about your data and models are necessary, and how...
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 framework to analyze these concerns as you examine the ethical and privacy implications of collecting...
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 applications of pattern discovery in data mining. We will also introduce methods for pattern-based...
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 inference. This course covers the basics of creating data products using Shiny, R packages, and...
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 rapidly and easily prototype three different applications for Android smartphones and tablets - even with...
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 differences between groups that we see in our data are strong enough to provide support for our...
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 impact the scope of inference. A variety of exploratory data analysis techniques will be covered,...
Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is the fourth course in the specialization, \"Business...
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.Created by: Johns Hopkins UniversityLanguage: English...
How can we know if the differences in wages between men and women are caused by discrimination or differences in background characteristics? In this PhD-level course we look at causal effects as opposed to spurious relationships. We will discuss how they can be identified in the social sciences...
This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the...

Probability and Statistics Online Courses for University of Oklahoma Students

Searching for University of Oklahoma Probability and Statistics online courses has never been quicker. Browse Probability and Statistics online courses and more in and around Norman, OK. To help narrow your results down, use Probability and Statistics online course filters to refine your University of Oklahoma Probability and Statistics online course search and enhance your Biology search experience. Sharing relevant Probability and Statistics listings with University of Oklahoma classmates can really help make the search process even faster for them! Uloop.com can help you find University of Oklahoma Probability and Statistics online courses today!

University of Oklahoma Online Courses

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