Ementorhub

Skills you'll gain

Descriptive Analytics

Data Science

Unsupervised Learning

Business Analytics

Regression Analysis

Artificial Intelligence and Machine Learning (AI/ML)

Machine Learning

Data Mining

Big Data

NoSQL

Classification And Regression Tree (CART)

Data-Driven Decision-Making

Data Storage Technologies

Data Modeling

Data Analysis

Analytics

Supervised Learning

There are 4 modules in this course

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

Terminology and Foundational Concepts

Data Science Methods for Business

Challenges and Conclusions