A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and testing, Bayesian computation theories and methods, and implementation of Bayesian computation methods using popular statistical software. Required Textbook: Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2013) … [Read more...] about Bayesian Computational Statistics
Probability and Statistics
Introduction to Microsoft Excel
At the end of this project, you will be able to start a simple spreadsheet in Microsoft Excel. Being able to use Microsoft Excel will allow you to simplify many of your daily tasks at work but also at home. There is no limit to what you can use Microsoft Excel for, you can use it to plan the annual budget of your business, you can use it to track business expenses but you can … [Read more...] about Introduction to Microsoft Excel
Enjoyable Econometrics
The goal of this MOOC is to show that econometric methods are often needed to answer questions. A question comes first, then data are to be collected, and then finally the model or method comes in. Depending on the data, however, it can happen that methods need to be adapted. For example, where we first look at two variables, later we may need to look at three or more. Or, … [Read more...] about Enjoyable Econometrics
Introduction to Bayesian Statistics for Data Science
This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data science problems. Topics include the use and interpretations of probability theory in Bayesian inference; Bayes’ theorem for statistical parameters; conjugate, improper, and objective … [Read more...] about Introduction to Bayesian Statistics for Data Science
Data Analytics with Python
This Data Analytics with Python course offers a comprehensive journey into mastering programming and data analysis. Start with an introduction to Python, exploring its syntax, versatility, and real-world applications in data science, web development, and automation. Dive into powerful libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib for … [Read more...] about Data Analytics with Python
