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CEU - Diploma in Predictive Analytics

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About this course

This Diploma in Predictive Analytics is aimed at professionals and students interested in learning about data science, analytics and machine learning. It is ideal for those who wish to apply advanced data analysis techniques in research projects...

University degree

200 h

Online

Qualification of CEU - Diploma in Predictive Analytics

CEU University Degree - Diploma in Predictive Analytics awarded by San Ignacio University of Miami (SIU)

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Objectives

Understand fundamental concepts of data mining and machine learning.

Apply the KDD process and relate it to Big Data analysis.

Use Data Mining models and techniques to analyze complex data.

Implement text mining and Web Mining to obtain information from the web.

Master the Hadoop ecosystem to process large volumes of data.

Use Weka to perform analysis and apply data mining techniques.

Content

UNIDAD DIDÁCTICA 1. DATA MINING OR DATA MINING AND AUTOMATIC LEARNING

Introduction to Data Mining and Machine Learning
KDD Process
Data Mining Models and Techniques
Application Areas
Text Mining and Web Mining
Data mining and marketing

UNIT DIDACTIC 2. HADOOP ECOSYSTEM

What is Hadoop? Relationship with Big Data
Installation and configuration of Hadoop infrastructure and ecosystem
HDFS file system
MapReduce with Hadoop
Apache Hive
Apache Hue
Apache Spark

DIDACTIC UNIT 3. WEKA AND DATA MINING

What is Weka?
Data Mining Techniques in Weka
Weka Interfaces
Attribute Selection

UNIT DIDACTIC 4. INTRODUCTION TO MACHINE LEARNING

Introduction
Classification of machine learning algorithms
Examples of machine learning
Differences between machine learning and deep learning
Types of machine learning algorithms
The future of machine learning

TEACHING UNIT 5. DATA STRUCTURE EXTRACTION: CLUSTERING

Introduction
Algorithms

TEACHING UNIT 6. RECOMMENDATION SYSTEMS

Introduction
Collaborative filtering
Clustering
Hybrid recommender systems

TEACHING UNIT 7. CLASSIFICATION

Classifiers
Algorithms

UNIT DIDACTIC 8. NEURAL NETWORKS AND DEEP LEARNING

Components
Learning

UNIT DIDACTIC 9. ELECTION SYSTEMS

Introduction
The process of moving from DSS to IDSS
Application Cases

Methodology

Entre el material entregado en este curso se adjunta un documento llamado Guía del Alumno dónde aparece un horario de tutorías telefónicas y una dirección de e-mail dónde podrá enviar sus consultas, dudas y ejercicios. La metodología a seguir es ir avanzando a lo largo del itinerario de aprendizaje online, que cuenta con una serie de temas y ejercicios. Para su evaluación, el alumno/a deberá completar todos los ejercicios propuestos en el curso. La titulación será remitida al alumno/a por correo una vez se haya comprobado que ha completado el itinerario de aprendizaje satisfactoriamente.

What does it prepare you for?

At the end of this Diploma in Predictive Analytics, you will be prepared to face analytical challenges in data mining and predictive analytics. You will be able to apply Data Mining and Machine Learning techniques to extract valuable knowledge from data and make accurate predictions. You will stand out in the field of analytics and data science, becoming a highly trained professional in demand in the working world.

Who is it aimed at?

Career opportunities

With the Diploma in Predictive Analytics, you will be able to work as a data scientist, analyst, analytics engineer or Big Data specialist, among other roles. You will also be able to work in research projects, analytical consulting or in companies that need to make decisions based on data and predictions. Your professional future in data analytics awaits you.