Framework for Data Collection and Analysis

4.2(777 ratings) 36.889 students enrolled TR Subtitles
This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan. Furthermore this course will provide you with a general framework that allows you to not only understand each step required for a successful data collection and analysis, but also help you to identify errors associated with different data sources. You will learn some metrics to quantify each potential error, and thus you will have tools at hand to describe the quality of a data source. Finally we will introduce different large scale data collection efforts done by private industry and government agencies, and review the learned concepts through these examples. This course is suitable for beginners as well as those that know about one particular data source, but not others, and are looking for a general framework to evaluate data products.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Surveys
  • Research Methodologies
  • Data Collection
  • Survey Creation
  • Research Design
  • Data Quality
  • Data Analysis
  • Analysis
  • Sampling (Statistics)
  • Big Data

Details

  • ProviderUniversity of Maryland, College Park
  • TypeCourse
  • CategoryData Science & AI
  • LevelIntermediate
  • LanguageEnglish

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Ramazan Bölükbaşı
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Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram
$49
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