TOPIC
Data and Applications security
SUBTOPIC
Data Science/Big Data application design
LANGUAGE
Spanish
ENROLL
On Demand
DURATION
1 day (8 h)
TRAINER
ITI
What possibilities do we have in the exploitation of data? Are there currently success stories? What Artificial Intelligence techniques are involved? What is the most appropriate stack of technologies in each case? What options do I have for mass data ingestion and processing? What is the cost of these technologies? What is its degree of maturity? Do I have reliable enough free software options? How should I handle the data optimally? How do I analyze the data to extract knowledge? And finally, what team of professionals do I need and with what training?
This course tries to answer these questions, offering a tour of practical cases that can be applied to the context of business development and a clear vision of the different Big Data technologies that intervene in them. It also focuses on examining what strategy should be implemented in the company to embark on digital transformation and data exploitation. Finally, an approach to the world of data analysis is made, providing the necessary skills to approach a Data Science project in an optimal way, exploring the most efficient and commonly used phases and techniques.
Program:
Unit 1. Introduction to Big Data
Unit 2. Big Data Technologies
Unit 3. Big Data Strategy
Unit 4. Introduction to Data Analytics
Unit 5. Evaluate and manage the Quality of the Data
Unit 6. Machine Learning
This course tries to answer these questions, offering a tour of practical cases that can be applied to the context of business development and a clear vision of the different Big Data technologies that intervene in them. It also focuses on examining what strategy should be implemented in the company to embark on digital transformation and data exploitation. Finally, an approach to the world of data analysis is made, providing the necessary skills to approach a Data Science project in an optimal way, exploring the most efficient and commonly used phases and techniques.
Program:
Unit 1. Introduction to Big Data
Unit 2. Big Data Technologies
Unit 3. Big Data Strategy
Unit 4. Introduction to Data Analytics
Unit 5. Evaluate and manage the Quality of the Data
Unit 6. Machine Learning
Keywords:
Artificial Intelligence, Big Data Infrastructure and Technologies, Data Analytics, Predictive analytics
LEARNING OUTCOMES
Solve the main doubts that management teams face when implementing a Big Data strategy in their company. Thus, it covers from a look at practical cases in the field of data exploitation and analytics, going through a review of the main technologies that today populate the Big Data horizon (for massive ingestion, consultation, analysis, visualization ...), to a roadmap for the adoption of these techniques and technologies in our companies.
PRE-REQUISITES
Decision making capacity in technology
TARGET AUDIENCE
Manager
COURSE TYPE
Lecture and Hands-on
MATERIALS
Slides, practical exercises
