Establish a firm foundation in statistics in order to elevate your ability to perform predictive analysis.
People often apply analytical methods without really understanding them. These courses will teach you the relevant principles behind important methods in statistics and predictive modeling.
1. Principles of Statistics
This course introduces various important statistical principles that can be applied in other Kubicle courses. This course will be useful for anyone who applies these techniques and wants to understand the principles behind them.
2. Introduction to Predictive Modeling
Data models can be used for many purposes, like prediction, classification, and time series analysis. This course explains the principles of these techniques, and will be useful to anyone with an interest in predictive modeling.
Applications of Probability
Learn about the fundamental principles of probability, and how probability is used to create probability distributions and run hypothesis tests.
1. Probability Principles
Probability is a commonly used, but often misunderstood area of statistics. This course introduces essential probability concepts and teaches you to calculate probabilities correctly.
2. Probability Distributions
Probability distributions provide a structure that helps us understand and calculate the probability of events. Learn about some of the most important probability distributions in this course.
3. Hypothesis Testing
Hypothesis testing lets you test what messages your data is actually sending you. This course will teach you how to conduct a wide variety of useful hypothesis tests.