Data collection and exploration

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

Overview

Most of the data collected by organizations is not very valuable. However, by applying the right techniques, you can draw relevant conclusions from large volumes of data. Use data collection and exploration for the best possible prediction.

 

Objectives

  • Identify the value of data for prediction
  • Recognize different time intervals and amounts of data needed to develop predictive models
  • Identify common data sources
  • Recognize key concepts of data extraction, transformation, and upload
  • Recognize important features of data warehouses and markets
  • identifying the main features of the relational database management system (RDBMS) and Hadoop
  • identifying important aspects of data collection
  • recognizing the elements of the data collection strategy
  • recognizing the different ways in which exploration contributes to understanding the data
  • listing the main steps in the sheet the course of data exploration

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Enrolled: 5 students
Video: 00:40:17
Level: Intermediate

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