Probability and Statistics Online Courses for University of Michigan 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 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...
Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. * What do...
We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for \"black swans\" - low-probability high-impact events. To study, or not to study? To invest, or not to invest? To marry, or...
Identify interesting questions, analyze data sets, and correctly interpret results to make solid, evidence-based decisions. This Specialization covers research methods, design and statistical analysis for social science research questions. In the final Capstone Project, you\'ll apply the skills...
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...
This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and...
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...
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific...
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research...
This course is about what you can do when everything around you seems to be moving due to digital change. It is about how to handle the disruptive process that tends to unfold in industry nowadays due to digitalisation. The way to handle this is what is here referred to as \"Digital...
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...
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 introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to...
This is the second of a two-course sequence introducing the fundamentals of Bayesian statistics. It builds on the course Bayesian Statistics: From Concept to Data Analysis, which introduces Bayesian methods through use of simple conjugate models. Real-world data often require more sophisticated...
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 decades have repeatedly told us that going over the material several times helps them progressively...
The final course aims to build learners\' confidence and adaptability when communicating in cross-cultural environments as they assume leadership responsibility to communicate influence in persuasive workplace contexts. The course focuses on enhancing learners\' professional persona for skilful...
This course offers a rigorous mathematical survey of causal inference at the Master\'s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in...
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...

Probability and Statistics Online Courses for University of Michigan Students

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

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