Data Science: Inference and Modeling

Add to Favourites
1 1 1 1 1
Price: 8130 EUR 8130 EUR
Contact Harvard University

More details about the program

Description

Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, you will learn these key concepts through a motivating case study on election forecasting. This course will show you how inference and modeling can be applied to develop the statistical approaches that make polls an effective tool and we'll show you how to do this using R. You will learn concepts necessary to define estimates and margins of errors and learn how you can use these to make predictions relatively well and also provide an estimate of the precision of your forecast. Once you learn this you will be able to understand two concepts that are ubiquitous in data science: confidence intervals, and p-values. Then, to understand statements about the probability of a candidate winning, you will learn about Bayesian modeling. Finally, at the end of the course, we will put it all together to recreate a simplified version of an election forecast model and apply it to the 2016 election.

Specific details

Category of Education Computer Sciense and IT

University

Harvard University

Comments (0)

There are no comments posted here yet

Leave your comments

Search

Related Programs

UMass Boston's computer science master's program t ...
Engineering Maintainable Android Apps, which is a ...
This is a five year programme and involves you und ...

 

©2023 EDUCOM NET. All Rights Reserved.

If you find an inaccuracy or you have comments on the description of the university or program - please let us know info@educom.net