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