Reproducible Research
half-circle
vector

Reproducible Research

أبرز محتويات الدورة

This course focuses on the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducible research is the idea that data analyses, and more generally, scientific claims, are published with their data and software code so that others may verify the findings and build upon them. The need for reproducibility is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This course will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.

حول مقدم الدورة

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 8 ساعات
  • domain
    الاختصاص علم البيانات والذكاء الاصطناعي
  • subs
    Monthly Subscription
    Course is included in
    1. الباقة الإبتدائية @ AED 99 + VAT
    2. الباقة الاحترافية @ AED 149 + VAT
  • fee
    Buy Now AED 170.99 + VAT
  • language
    اللغة الإنكليزية