Inhalt: If you need to sort through information to gain insights or make data-driven decisions, regression analysis is a helpful tool in almost any circumstance. On the most basic level, regression analysis reveals relationships between a dependent variable and a collection of independent variables in a fixed dataset. This is crucial for predicting and forecasting, and also helpful for inferring causal relationships between variables. In this course, Franz Buscha moves beyond the basics, showcasing several prominent tips and tricks that will allow you to not only build better regression models, but also present your results in a more impactful way. Through use of practical examples, Franz covers topics like weighted regressions, polynomial variables, and how to deal with missing data in your regression models. Umfang: 00:55:43
Inhalt: Stata is agile, easy to use, and fast, with the ability to load and process up to 120,000 variables and over 20 billion observations. In this course, take a deeper dive into the popular statistics software. Instructor Franz Buscha explores advanced and specialized topics in Stata, from panel data modeling to interaction effects in regression models. Franz demonstrates several sophisticated data management functions and visualization techniques to complement the basic Stata operations that you may have already mastered. Plus learn about Monte Carlo simulations, count data analysis, survival analysis, and more. Umfang: 05:05:58.00
Inhalt: Learning and applying new statistical techniques can often be a daunting experience. Software like Stata, an integrated statistical software package, can help. Stata is agile and easy to use, automate, and extend, helping you perform data manipulation, visualization, and modeling for extremely large data sets. In this course, Franz Buscha provides a comprehensive introduction to Stata and its various uses in modern data analysis. Review the various options that Stata gives you in manipulating, exploring, visualizing, and modelling complex types of data. Explore the practical application-and interpretation-of commonly used statistical techniques such as distributional analysis and regression on real-life data. Each lesson demonstrate the strengths of the application and gives you a firm foundation for performing your own quantitative analysis. Note: This course was recorded using version 15 of Stata, but all coverage is accurate and up to date for versions 15 and 16. Umfang: 04:12:06.00
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