MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
Spreadsheets containing real data from diverse areas such as economics, finance and HR drive much of our discussions.
In Part 2, we use the language of probability to examine the underlying distributions of random variables. We model real-life phenomena using known variables such as Binomial, Poisson and Normal. We learn how to simulate data that are distributed according to these variables.
We shall take up datasets that have over a million rows, which makes it difficult to analyze using a spreadsheet. This is a natural setting for R, an advanced statistical programming platform. We incorporate helpful tutorials to get learners acquainted with the platform.
What you'll learn:
- To use spreadsheets to analyze larger datasets
- To pose pertinent business questions of datasets and to answer them
- To describe a random variable in probabilistic terms and derive parameters such as mean and variance
- To draw a simple random sample from a population
- To model business phenomena with known random variables such as Binomial, Poisson and Normal
- To simulate variables that follow a prescribed distribution
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.