Coursera MOOC / Non-credit 0

Data Science for Business Innovation

Name: Data Science for Business Innovation
Price: 49 USD
Availability: InStock

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

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

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

Machine Learning Data Analysis #regression #classification #data-driven decision making #artificial intelligence #machine learning #cloud computing #nosql #business innovation #data science #predictive analytics #prescriptive analytics #clustering #analytics #descriptive analytics #executive management #tech and analytics

$49.00

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