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- Business Intelligence, Big Data and Digital Transformation.
- Business Analytics.
- Digital and social ecosystems.
- Big Data architectures.
- Business Applications: Big Data in Telecommunications and Banking.
- Introduction to Data Science tools and first steps.
- Data Science: Data governance, predictive analytics and Deep Learning.
- Evaluation of predictive models and analysis of results.
- Credit Scoring and application of Big Data on alternative data to the financial world.
- Artificial Intelligence and natural language processing.
- Business Applications: Equifax, the data in constant evolution.
- Big Data applied to Marketing.
- Business Applications: Big Data in the Media sector and web analytics.
- Open Data and capillarity models at points of sale.
- Sectorial ecosystems in Big Data and analytics.
- Big Data & Analytics project development.
- Presentation of projects.
- Personal tutorials.
- Entrepreneurship.
- Effective presentations.
- Creativity workshops.
- Lifelong Learning and complementary training: Workshops and events, 100% networking.
