Chevron Left
Zurück zu Modeling Data in the Tidyverse

Bewertung und Feedback des Lernenden für Modeling Data in the Tidyverse von Johns Hopkins University

Über den Kurs

Developing insights about your organization, business, or research project depends on effective modeling and analysis of the data you collect. Building effective models requires understanding the different types of questions you can ask and how to map those questions to your data. Different modeling approaches can be chosen to detect interesting patterns in the data and identify hidden relationships. This course covers the types of questions you can ask of data and the various modeling approaches that you can apply. Topics covered include hypothesis testing, linear regression, nonlinear modeling, and machine learning. With this collection of tools at your disposal, as well as the techniques learned in the other courses in this specialization, you will be able to make key discoveries from your data for improving decision-making throughout your organization. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....
Filtern nach:

1 - 2 von 2 Bewertungen für Modeling Data in the Tidyverse

von Glenn

18. Feb. 2021

von Stefan M

2. Okt. 2021