Probability and Statistics Online Courses for NU Students

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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...
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 -...
The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You\'ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You\'ll...
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 will earn a \"toolbox\" of methods to deal with uncertainty in your daily life. The course is split in...
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...
Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.Created by: Johns Hopkins UniversityLanguage: English...
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...
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...
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 Factors, and likelihood ratios, and how these statistics answer different questions you might be...
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...
Welcome to Practical Time Series Analysis! Many of us are \"accidental\" data analysts. We trained in the sciences, business, or engineering and then found ourselves confronted with data for which we have no formal analytic training. This course is designed for people with some technical...
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...
Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are...
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...
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 specialization is designed to teach learners beginning and intermediate concepts of statistical analysis, and use of the Python programming language to conduct data analyses. Learners will learn where data come from, what types of data can be collected, how to effectively summarize and...

Probability and Statistics Online Courses for NU Students

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

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