TOPIC
Infrastructure and platforms for Data Science
SUBTOPIC
Data Science/Big Data application design
LANGUAGE
Spanish
ENROLL
On Demand
DURATION
10 days (40 h)
TRAINER
ITI
This course tries to give a complete vision of the development process of a Big Data Analytics solution, from the design of digitization processes to the construction of user dashboards for the monitoring and exploitation of the results of statistical models, going through the acquisition and preparation of the data, modeling and training of models, evaluation of results, and packaging of the models as a service.
Program:
Unit 1. Introduction
Unit 2. Big Data implementation strategy
Unit 3. Data acquisition and structuring
Unit 4. Predictive models
Unit 5. Generation of knowledge
Program:
Unit 1. Introduction
Unit 2. Big Data implementation strategy
Unit 3. Data acquisition and structuring
Unit 4. Predictive models
Unit 5. Generation of knowledge
Keywords:
Anomaly detection, Big Data Analytics as a Service, Big Data Infrastructure and Technologies, Business Intelligence, Data Analysis, Data Management, Data Privacy, Data Visualisation, Deep Learning, Exploratory Data Analytics, Forecasting, Graph data analytics, industrial communication protocols, Industrial Internet of Things (IIoT), IoT Platforms, Machine Learning, Natural Language Processing, Predictive analytics
LEARNING OUTCOMES
Solve the main doubts that project managers and developers face when developing a Big Data Analytics solution in the company. The life cycle of data science is covered (digitization, acquisition and preparation of data, training and evaluation of predictive models, deployment of models and generation of knowledge) presenting the main techniques to apply in each of the stages.
PRE-REQUISITES
Programming, Mathematics, statistics, Python
TARGET AUDIENCE
Professional Data Science
COURSE TYPE
Lecture and Hands-on
MATERIALS
Slides, practical exercises
