Statistical Theory
Introduction to Predictive Modeling
If you want to quantify the impact of patterns in your data, then a data model will help. These 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.
Beginner    14 Lessons    150 Minutes    CPD Credits
About This Course
Your company’s data will house patterns of behaviour that offer an insight into your clients or customers. In this course, you’ll discover how to best investigate the information you already house, to allow for better business choices.
Across 14 lessons, you’ll learn how to run different types of data models, depending on the questions you’re asking of your data.
By the end of the course, you’ll understand the analysis opportunities available to you, based on the data you currently have, and how to modify how you store it for an expansion of that range.
Learning Outcomes
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Distinguish between different regression models
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Explain the purpose of cluster analysis
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Outline some common classification algorithms
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Understand the benefits of ensemble methods
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Explain how to forecast time series data
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Evaluate basic ARIMA models
Lessons
1. Introduction to Statistical Models
2. Simple Linear Regression
4. Logistic Regression
5. Cluster Analysis
6. Introduction to Classification
Read More
7. The Naive Bayes Classifier
8. Decision Trees
9. Boosting
10. Random Forests
11. Principles of Time Series Data
12. ARIMA Models
13. Autocorrelation Functions
14. Evaluating Time Series Models
Learning Certificates
Showcase Your Skills
Each time you complete a course exam, you earn a certificate that demonstrates your proficiency in that subject matter. We are proud to be able to say that Kubicle certificates are recognized by the most respected employers from around the world.
When you earn internationally-recognized certificates, you increase confidence. And when you enhance your ability, speed and accuracy, you increase your employability.