Predictive analysis and big data

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

Overview

Predictive analytics uses techniques such as statistics and machine learning to build predictive models, often using big data to test and validate these models. Exploring the main functions of predictive analytics and big data.

 

Objectives

  • what is predictive analytics, the types of models used and its purposes
  • what are the types of questions that predictive analytics answers and who uses it
  • identifying the main functions of predictive analytics
  • recognizing the main features of big data
  • recognizing the considerations of using big data its sources
  • Identify the main features of time series, uplift concept and logistics models
  • Identify the main features of classification trees, neural networks, support vector machines and Bayesian networks
  • Recognize the main differences between predictive analytics and traditional business information

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Enrolled: 15 students
Video: 00:34:16
Level: Intermediate

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