# Data Considerations in Analytics

Predictive Analytics    |    Intermediate
• 12 videos | 55m 32s
• Includes Assessment
• Earns a Badge
Rating 4.6 of 233 users (233)
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

• 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

• Upon completion of this video, you will be able to recognize the role of statistics in predictive analytics.
• Upon completion of this video, you will be able to recognize attributes of qualitative, quantitative, discrete, and continuous data.
• 3.  Data Measurement Scales
Upon completion of this video, you will be able to recognize features of data measurement scales.
• 4.  Descriptive vs. Inferential Statistics
Upon completion of this video, you will be able to recognize features of descriptive and inferential statistics.
• 5.  Probability Overview and Probabilistic Events
After completing this video, you will be able to recognize basic features of probability and the types of probabilistic events.
• 6.  Addition and Multiplication Rules
Find out how to apply addition and multiplication rules to a probabilistic event.
• 7.  Conditional Probability and Bayes Rule
In this video, you will learn how to apply Bayes theorem in a given situation.
• 8.  Permutations and Combinations
In this video, you will learn the difference between permutations and combinations.
• 9.  Univariate Analysis: Minimizing the Margin of Error
Upon completion of this video, you will be able to recognize how to reduce the margin of error.
• 10.  Univariate Analysis: CI for Hypothesis Testing
After completing this video, you will be able to recognize how confidence intervals are used for hypothesis testing.
• 11.  Multivariate Analysis: Testing for Differences
After completing this video, you will be able to recognize key features of testing for differences in means and testing for differences in proportions.
• 12.  Multivariate Analysis: Testing Goodness-of-Fit
In this video, you will learn how to determine if a data sample is representative of the data population.

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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