Unit 03 | Introduction to Descriptive & Predictive Analytics |
| 7.5 hrs |
Upon completion of this module, you will be able to:
- apply key statistical techniques required for machine learning
- summarize data using descriptive analytics
- identify and manage outliers in data sets
- build and evaluate simple predictive forecasting models in R
Key Concepts in Descriptive Analytics
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Required Work
Additional ResourcesSlide Deck & Data Sets |
Detecting Outliers
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Required Work
Additional Resources |
Basic Predictive Analytics: Simple Forecasting
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Required Work
Additional Resources |
Basic Predictive Analytics: Time-Series Analysis
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Required Work
Additional Resources
Slide Deck & Data SetsSlide Deck
Cereal Data | IQ & Rock Music Data | Sales Data | Grades Data | Normality Testing | Slide Deck Data | Call Center Data | Housing Data | Data Center Data | UFFI Data | Salary Data (XSLX | CSV) | Titanic Survival Data |
Guest Lecture: Introduction to Predictive Analytics
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Required Work
Additional Resources |