12 Courses and Certifications

Polytechnic University of Milan Milan Courses & Certifications 2024

  • Ownership: Public/Government
  • Estd. Year: 1863
  • Total Faculty: 1292
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Skills

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Certificate

Archaeoastronomy

The Archaeoastronomy course is a ‘science of stars and stones’ developed by the scientific-technological university called the Politecnico Di Milano and provided by the online educational platform Coursera. The online course is scheduled for the candidates to learn for a period of seven weeks and the Archaeoastronomy syllabus will take an estimated time of seven hours to complete entirely. 

This online training course is a study about the interdisciplinary domain that will interest the learners with the ideologies and science of architecture, astronomy, and archaeology. 

The participants of this programme will have an opportunity to understand the connection between age-old monuments and the sky and the conception of the architects in ancient times and their meaning with the religious and symbolic world. 

The hands-on teaching methodologies will provide a wholesome learning experience with the theoretical concepts and facts. The subtitles in various languages such as Arabic, French, Portuguese, Italian, Vietnamese, German, Russian, English, Spanish will help the students from various linguistic backgrounds to understand the concepts and course materials.

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7 Weeks
Beginner
Free
Skills Covered:
Knowledge of history Knowledge of religion Knowledge of Astronomy
Certificate

Fundamentals of Financial and Management Accounting

Fundamentals of financial and management accounting is an online certification course available on Coursera. Prepared for beginner-level candidates, the online programmes will discuss financial and management accounting in detail. Fundamentals of financial and management accounting Certification Course is designed entirely in the online mode and the learners can pursue it at their own pace and convenience. 

Offered by Coursera, the Fundamentals of financial and management accounting Certification Syllabus will shed light on various aspects of financial accounting and management accounting and explore fundamental principles of accounting and accounting terminologies. Fundamentals of financial and management accounting Certification by Coursera will also render the learners practical knowledge through various case studies on the applications of basic concepts of accounting. 

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5 Weeks
Beginner
Free
Skills Covered:
Accounting proficiency Financial Management
Certificate

Data Science for Business Innovation

This course will educate candidates on the significance of data science in boosting data-driven innovation in businesses. The Data Science for Business Innovation certification programme has been developed to teach central data science concepts, including machine learning, data communication, big data and data valorisation. 

The Data Science for Business Innovation online course by Coursera also sheds light on Data Science’s tools and techniques, success stories, terminology, use cases and various applications. You will also explore its more technical aspect by learning about semi-supervised, unsupervised and supervised techniques. Furthermore, the distinctions between prescriptive, predictive and descriptive analytics will be discussed.

The Data Science for Business Innovation syllabus covers important topics such as regression, clustering and classification methods. Also, you will study data analysis, pros and cons of different machine learning methods, data needs and practical applicability issues. With the help of this course, you will understand the roles and impact of NoSQL data models and scalable cloud-based computational platforms.

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4 Weeks
Beginner
Free
Skills Covered:
Knowledge of Big Data Machine learning Data science knowledge Knowledge of Artificial Intelligence Business analytics knowledge Decision making skills
Certificate

Basic Recommender Systems

The Basic Recommender Systems online course is an intermediate-level programme offered by EIT Digital and Politecnico di Milano in partnership with Coursera. It is an introduction to the leading approaches in recommender systems. 

You will learn about both collaborative and content-based approaches, including the key algorithms used in providing recommendations. Further, the curriculum also focuses on the benefits and limitations of various recommender system alternatives.

Basic Recommender Systems course by Coursera requires approximately twelve hours to complete. However, you can choose a study schedule at your convenience due to flexible deadlines and a self-paced format. Coursera offers the course for free to interested learners to promote quality education for people from different backgrounds. 

Additionally, you can collect an electronic Basic Recommender Systems certificate and add it to the certifications section on your LinkedIn profile to get better job offers. Moreover, if you purchase the certificate, you will also get access to the course material and all the graded assignments and exercises.

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3 Weeks
Intermediate
Free
Skills Covered:
Data Conversion
Certificate

Platform Thinking Whats beyond Uber

3 Weeks
Beginner
4,117
Certificate

Advanced Recommender Systems

Machine Learning finds widespread application in providing recommendations and making better predictions in software by deploying opinions from users and constructing a model automatically while eliminating the need to consider all the details of that model. Advanced Recommender Systems Certification by Coursera will expose learners to advanced machine learning techniques that can be used to create sophisticated recommender systems. 

Offered by EIT Digital and Politecnico di Milano, both of which are top-ranked in their respective domain, this course boosts one's creativity and innovation skills and implores them to think beyond the thinkable. Advanced Recommender Systems Certification Syllabus will deal with the management of hybrid information and a combination of various filtering techniques. This course will ensure that learners derive the best from each approach taught to them.

At the course conclusion, candidates will have been well acquainted with factorisation machines and how to represent input data accordingly. They will learn all the essential methods that can be used to solve the cross-domain recommendation problem. Finally, identifying new challenges and trends in giving recommendations for numerous innovative application contexts will also be highlighted in Advanced Recommender Systems Certification Course.

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3 Weeks
Intermediate
Free
Skills Covered:
Mathematical skill

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