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Отзывы учащихся о курсе Data Science for Business Innovation от партнера EIT Digital

3.8
stars
Оценки: 14
Рецензии: 6

О курсе

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues. The course covers terminology and concepts, tools and methods, use cases and success stories of data science applications. The course explains what is Data Science and why it is so hyped. It discusses 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, and 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....

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1–6 из 6 отзывов о курсе Data Science for Business Innovation

автор: Batuhan K

Nov 28, 2019

I've learnt lots of information that would be best fit for me.

автор: MD. R A

Nov 28, 2019

5*

автор: Tjerja G

Dec 15, 2019

There are sometimes language interpretations that make it really hard to pass the quizes.

автор: Claudio S

Dec 08, 2019

It was ok, comprehensive but only at a very high level. Concepts presented by example rather than with concrete explanations. English language was nominal with quizzes not well formulated.

автор: Beatrice B

Oct 18, 2019

I was hoping to receive a deeper teaching about the subjects. I found the course to bee too superficial and trying to teach a little bit of everything. Better less but with higher quality

автор: Dipesh P

Jan 06, 2020

Need improvement with moderation. For eg: a lot of questions are wrongly worded. But the overall content is good for introduction to data science.