Data Considerations in Analytics
Predictive Analytics
| Intermediate
- 12 Videos | 55m 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 analyticsrecognize attributes of qualitative, quantitative, discrete, and continuous datarecognize features of data measurement scalesrecognize features of descriptive and inferential statisticsrecognize basic features of probability and the types of probabilistic eventsapply addition and multiplication rules for a probabilistic event
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apply Bayes theorem in a given situationdistinguish between permutations and combinationsrecognize how to reduce the margin of errorrecognize how confidence intervals (CI) are used for hypothesis testingrecognize key features of testing for differences in mean and testing for differences in proportiondetermine 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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