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Data Science for Business Innovation

Data Science for Business Innovation

FREE

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8.6/10 (Our Score)
Product is rated as #120 in category Data Science

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.

Instructor Details

Marco Brambilla is associate professor at Politecnico di Milano. He is active in research and innovation, both at industrial and academic level. His research interests include data science, software modeling languages and design patterns, crowdsourcing, social media monitoring, and big data analysis. He has been visiting researcher at CISCO, San Jose, and University of California, San Diego. He has been visiting professor at Dauphine University, Paris. He is founder of the startup Fluxedo, focusing on social media analysis and Social engagement, and of the company WebRatio, devoted to software modeling tools for Web, Mobile and Business Process based software applications. He is author of various international books and research articles in journals and conferences, with over 200 papers. He was awarded various best paper prizes and gave keynotes and speeches at many conferences and organisations. He runs research projects on data science and industrial projects on data-driven innovation and big data. He is the main author of the OMG standard IFML. He participated in several European and international research projects. He has been reviewer of FP7 projects and evaluator of EU FP7 proposals, as well as of national and local government funding programmes throughout Europe. He is PC chair and member of several conferences and workshops, he organized several workshops and conference tracks so far, and he has been reviewer for many scientific journals. He is associate editor of SIGMOD Records, Journal of Web Engineering, and Advances in Human-Computing Interactions.

Specification: Data Science for Business Innovation

Duration

8 hours

Year

2019

Level

Beginner

Certificate

Yes

Quizzes

Yes

7 reviews for Data Science for Business Innovation

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    Beatrice B

    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

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    Batuhan K

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

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  3. Avatar

    MD. R A

    5*

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    Claudio S

    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.

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    Tjerja G

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

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    Dipesh P

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

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    Gianluca S

    A very well done course that showcases the main technologies applied in different scenarios. It was a good introduction to the world of applied data science.

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