Statistics / AnalyticsTutorialsThe following is a list oftutorialswhich are ideal for bothbeginnersand advanced analytics professionals. It's a step by step guide to learn statistics with popular statistical tools such as SAS, R and Python.
This online text was designed for STA 363 - Introduction to StatisticalModelingat Miami University and has been used as a resource in other courses at Miami University (e.g., STA 672 - StatisticalModelingand Study Design, a service course for graduate students in the life sciences). The original version of this document was not intended for broad publication but, as is common, has evolved ...

Cracking the Code: StatisticalModelingExplained forBeginners• Unravel the mysteries of statisticalmodelingwith thisbeginner-friendly guide. Learn the basics and gain a solid foundation in ...

Getting started This very simple case-study is designed to get you up-and-running quickly with statsmodels. Starting from raw data, we will show the steps needed to estimate a statistical model and to draw a diagnostic plot. We will only use functions provided by statsmodels or its pandas and patsy dependencies. Loading modules and functions After installing statsmodels and its dependencies ...

Introductory Videos StanTutorialsMaggie Lieu. A series of 8 videos that will get you started using Stan in R and Python. Contributed Videos Statistical Rethinking Winter 2019 Lecture 15 Richard McElreath. How to write your first Stan program Ben Lambert. BayesianModelingwith R and Stan Sean Raleigh for the R Users Group, Salt Lake City, UT.