Data Considerations in Analytics
Predictive Analytics
12 Videos | 1h 1m 32s - Includes Assessment
- Earns a Badge
Predictive analytics involves a wide range of statistical tools and methods that allow an analyst to build a powerful predictive model. Explore the importance of statistics and probability theory in predictive analytics.
WHAT YOU WILL LEARN
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recognize the role of statistics in predictive analytics
recognize attributes of qualitative, quantitative, discrete, and continuous data
recognize features of data measurement scales
recognize features of descriptive and inferential statistics
recognize basic features of probability and the types of probabilistic events
apply addition and multiplication rules for a probabilistic event -
apply Bayes theorem in a given situation
distinguish between permutations and combinations
recognize how to reduce the margin of error
recognize how confidence intervals (CI) are used for hypothesis testing
recognize key features of testing for differences in mean and testing for differences in proportion
determine if a data sample is representative of the data population
IN THIS COURSE
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1.Predictive Analytics and Statistics3m 8sUP NEXT
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2.Types of Data6m 3s
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3.Data Measurement Scales5m 25s
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4.Descriptive vs. Inferential Statistics2m 56s
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5.Probability Overview and Probabilistic Events6m 39s
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6.Addition and Multiplication Rules5m 22s
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7.Conditional Probability and Bayes Rule4m 51s
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8.Permutations and Combinations5m 3s
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9.Univariate Analysis: Minimizing the Margin of Error4m 10s
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10.Univariate Analysis: CI for Hypothesis Testing3m 57s
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11.Multivariate Analysis: Testing for Differences4m 2s
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12.Multivariate Analysis: Testing Goodness-of-Fit3m 57s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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