The training Data Science with Immersive Technologies offers you the opportunity to gain an insight into one of the most sought-after and rapidly growing fields in today’s job market. As companies seek to innovate and optimise their processes, the ability to analyse large volumes of data and using immersive technologies becomes an essential skill. You will not only learn about the role of the Data Scientist, but you will also acquire the skills needed to visualise data in 3D, which will give you a more comprehensive and dynamic view of the data. Taking part in this training course gives you the competitive advantage what you need to stand out in an increasingly digitalised professional environment that is geared towards immersive experiences.
Data Science with Immersive Technologies
Big Data
25 hours
Introduction
Objectives
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Understanding the role of the data scientist in data analysis in virtual environments.
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Identify the key stages in the process of Data Science to ensure its effective implementation.
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Explore the use of cloud computing and their integration into data science projects.
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Applying immersive technologies for the medical visualisation and 3D diagnostics .
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Integrating augmented reality into the urban planning and geospatial analysis.
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Using virtual reality for the financial analysis and trading on virtual markets.
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To analyse the consumer behaviour on social media using 3D environments.
Table of Contents
TEACHING UNIT 1. IMMERSIVE DATA SCIENCE
1. What is meant by ‘immersive data science’?
2. The role of the data scientist
3. Cloud computing and its integration into data science projects
4. Managing Big Data
5. Digital Oracle: predictions and forecasting using immersive technologies
TEACHING UNIT 2. IMMERSIVE TECHNOLOGIES IN THE REAL WORLD
1. Immersive Medical Visualisation: From Image to 3D Diagnosis
2. Exploring new horizons: virtual reality in learning
3. Financial Analysis and Trading in Virtual Reality Environments
4. Social media analysis and consumer behaviour in 3D
5. Marketing and Advertising: analysis of online campaigns