Probability and Statistics Online Courses for Cal Poly 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 -...
In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural...
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...
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...
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 colonial era to the present. Race and ethnicity are ideological and cultural categories that...
In Elicitation: Artifact and Stakeholder Driven Analysis, you will learn to use both recorded and presently unrecorded knowledge in your elicitation techniques. As you get started in finding out about the new product, you must first learn about the product that was (if there was one) and then...
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. 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 algebra and...
The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung\'s textbook entitled Information Theory and Network Coding (Springer 2008). This book and its predecessor, A First Course in Information Theory (Kluwer 2002, essentially the first edition of the 2008 book), have...
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level...
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...
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...
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...
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...
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...

Probability and Statistics Online Courses for Cal Poly Students

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

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