Key statistical concepts

Important to know:
The course video is English with Romanian subtitles and test questions are in Romanian.

Overview

Predictive analytics involves a wide range of statistical tools and methods that allow an analyst to develop a strong predictive model. Exploring the importance of statistics and probability theory in predictive analytics

 

Objectives

  • Recognizing the role of statistics in predictive analytics
  • Recognizing the attributes of qualitative, quantitative, discrete, and continuous data
  • Recognizing the characteristics of data measurement scales
  • Recognizing characteristics and types of probabilistic events
  • applying addition and multiplication rules to a probabilistic event
  • applying the Bayes theorem in a given situation
  • differentiating between permutations and combinations
  • recognizing how to reduce the margin of error
  • recognizing how confidence intervals (II ) are used to test the assumptions
  • to recognize the main features of the test for differences in mean and the test for differences in proportion
  • to determine whether a sample of data is representative active for the data population

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Enrolled: 4 students
Video: 00:56:08
Level: Intermediate

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