Building a Data-Enabled and AI-Ready Organization
Is it already too late to catch up?
Big Data, or mass data, surrounds us everywhere. Data is gathered from many different sources, but what is this data exactly, and how is it used? The Big Data online course reviews the basics of mass data. What are the challenges and benefits of Big Data?
In a digitalized world, data accumulates in organizations through various channels. The selection of these channels depends on the company, and usually, more data gets collected than can be handled. What kind of data is relevant, and what can you do with it? What should the organization consider when collecting data? The analysis and real-time utilization of information accumulated through Big Data have become a key component of various business models.
The Big Data online course introduces you to the basics of Big Data, what Big Data is, and how it is defined. You will also learn how technological development affects Big Data and how to utilize data in business development. The course covers the basics of mass data definitions, the quality of data, and data utilization. It includes video lectures and written material to support learning. You will also find exercises to test your knowledge in each subject area.
The estimated study time of the course is three hours. The course allows flexible study patterns; you can decide on your schedule and the speed at which you progress. Recommended study schedule is 1-2 hours per week for 2-3 weeks.
Please note that the course is in Finnish.
By completing the course, you will get an Aalto EE
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The Big Data online course helps you understand the basics of Big Data and recent developments. It also provides selected teams, groups, or departments with a consistent skill level.
Kari Hiekkanen is a Research Fellow at the Department of Computer Science at Aalto University. He has extensive experience in various IT management and leadership roles in R&D and management consulting.
Hiekkanen has over 20 years of experience combining IT and strategy in various industries. He has a solid knowledge of IT management practices, enterprise architecture, and IT governance both as a practitioner and educator. Hiekkanen's research interests include the industrial Internet and the digitalization of Industries. He is an expert on machine learning, deep learning, and artificial intelligence.
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