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1. Introduction to Big Data, Artificial Intelligence and Machine Learning - 9 hours |
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Definition of the different concepts related to data science (Data Science) |
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Theory and practice of different methods such as Machine Learning (supervised and unsupervised), Clustering, principal component analysis (PCA) |
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Real cases of listening and use of open data |
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2. Data-Driven Management - 9 hours |
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Business models |
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Legal challenges of Big Data – the big (brother) data |
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Data-Driven Organization: New Corporate Strategy |
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Who is an analytical competitor? |
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Artificial Intelligence Model Canvas |
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Case Studies |
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3. Change management towards the new Data-Driven paradigm - 6 hours |
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Business model change management |
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Organizational and cultural change management |
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Strategic change management |
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4. Illustration. Big Data Application Domains - 6 hours |
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Big Data for Smart City |
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Big Geolocated Data |
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Application of Big Data to HR, Marketing and Sales |
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5. Data visualization design and tools - 24 hours |
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Methodology: strategy, data, design |
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Design principles: color, shape and visual thinking |
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Learn data interaction techniques |
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Explore the most common tools for creating charts |
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Data visualization tools reporting / dashboarding |
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6. Data Storytelling: data narrative - 12 hours |
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Basis of the data narrative |
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The Data Storytelling Cycle |
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Learn the most common narrative typologies |
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7. Group project and real business case - 6 hours |
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Application to a real case: your business |
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Best practices to implement Artificial Intelligence in your business |