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Data Collection

Data Collection

Free Practice Test

FREE
  • No. of Questions30
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$12.99
  • No. of Questions30
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedApril 2024

Online Course

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  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No of videos-
  • No of hours-
Not Available

Data Collection

It is the process of gathering and measuring information on targeted bench marks in an established system, which then enables professional to answer the relevant questions and measure the outcome. Data Collection is used as a research component in all fields of study.


Table of Contents

  • Introduction to Data Collection
  • Importance of Data Collection 
  • Data Collection Plan
  • Data Collection Techniques 
  • Research Designs and Data Sources
  • Measurements and Analysis Plan
  • Quality Framework
  • Data Mining
  • Big Data

Data Collection FAQs

The process which is used to gather information based on certain criteria in an established system, which later helps in evaluating the final outcome.

Data may be grouped into four main types based on collection methods: 

  • Observational 
  • Experimental 
  • Simulation 
  • Derived
  • Operation Managers
  • Project Managers
  • Financial Managers
  • Data Analysis
  • Supply Chain Managers
  • Professional who wants to learn how to gather high quality data
  • Software Engineer
  • Data Clerk
  • Senior Analyst
  • Research Assistant
  • Project Manager
  • Data Sorting
  • Data Cleaning
  • Statistical Work
  • Data Analysis
  • Excel
  • Communication
  • Leadership
  • Reporting
  • Introduction to Data Collection
  • Importance of Data Collection 
  • Data Collection Plan
  • Data Collection Techniques 
  • Research Designs and Data Sources
  • Measurements and Analysis Plan
  • Quality Framework
  • Data Mining
  • Big Data

 

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