11 Useful Tips for Regression Analysis
With Franz Buscha
Liked by 918 users
Duration: 55m
Skill level: Intermediate
Released: 1/4/2021
Course details
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.
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Meet the instructor
Learner reviews
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Khaled M. Ali Aklan Albanna
Khaled M. Ali Aklan Albanna
IT Advisor | AI (Expert Systems & Data Science) | Banking and ERP Systems
Contents
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- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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