Overview
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.
Key facts
This Data Science - Inference and Modeling Certificate, which is part of Data Science Professional Certificate from EdX in partnership with Harvard University - HarvardX, 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.
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Visit programme websiteProgramme Structure
What you'll learn:
The concepts necessary to define estimates and margins of errors of populations, parameters, estimates and standard errors in order to make predictions about data
How to use models to aggregate data from different sources
The very basics of Bayesian statistics and predictive modeling
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- 1 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Disciplines
Statistics Data Science & Big Data View 86 other Short Courses in Statistics in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites:
- Data Science: Probabilityor a basic knowledge of probability theory.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
149 USD/fullTuition FeeBased on the tuition of 149 USD for the full programme during 2 months. -
National
149 USD/fullTuition FeeBased on the tuition of 149 USD for the full programme during 2 months.
- Limited access: Free
- Unlimited access + Verified Certificate for $149 USD