Vital Skills for Data Science
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Vital Skills for Data Science

أبرز محتويات الدورة

Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss. This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.https://www.coursera.org/degrees/master-of-science-data-science-boulder. Logo image by JJ Ying on Unsplash

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
  • domain
    الاختصاص تقنية المعلومات وعلوم الحاسب
  • subs
    Monthly Subscription
    Course is included in
    1. الباقة الإبتدائية @ AED 99 + VAT
    2. الباقة الاحترافية @ AED 149 + VAT
  • fee
    Buy Now Option not available
  • language
    اللغة الإنكليزية