Data Science for Business Innovation

Coursera MOOC / Non-credit USD 49
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Data Science for Business Innovation

About this course

This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped. You will learn: * the value that Data Science can create * the main classes of problems that Data Science can solve * the difference is between descriptive, predictive, and prescriptive analytics * the roles of machine learning and artificial intelligence. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques. It discusses the role of NoSQL data models and technologies, and the role and impact of scalable cloud-based computation platforms. All topics are covered with example-based lectures, discussing use cases, success stories, and realistic examples. Following this nano-course, if you wish to further deepen your data science knowledge, you can attend the Data Science for Business Innovation live course https://professionalschool.eitdigital.eu/data-science-for-business-innovation

What you'll learn

  • understand the value of data science in business
  • differentiate between descriptive, predictive, and prescriptive analytics
  • recognize the main classes of problems data science can address
  • explain supervised, unsupervised, and semi-supervised methods
  • identify key uses of classification, clustering, and regression techniques
  • discuss NoSQL data models and cloud-based technologies

Skills you'll gain

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