Home / FACULTAD DE CIENCIA DE DATOS E INTELIGENCIA ARTIFICIAL / Diploma in Predictive Analytics

Diploma in Predictive Analytics

Include free content with your subscription

Request Free Information

I agree with the Privacy Policy.

About this course

This Diploma in Predictive Analytics is aimed at analytics professionals, data scientists, developers and anyone interested in enhancing their skills in the interpretation and application of large data sets. It is also ideal for people in market...

University degree

130 h

Online

Qualification of Diploma in Predictive Analytics

Diploma in Predictive Analytics issued by Universidad Hemisferios in collaboration with Instituto Europeo de Estudios Empresariales (INESEM).

Video of university students giving their opinion of Universidad Hemisferios

This training includes free content with your Educa University subscription.

Not a subscriber yet? At Educa University, we respond nimbly to the educational needs of a digitalised and constantly changing world. We are leaders in the development of educational programmes and AI tools, with partnerships with prestigious universities in Europe, the United States and Latin America.

Subscribe now

Objectives

Understand the KDD process and its application in the extraction of data from large data sets.

Develop skills in the management of the Hadoop ecosystem.

Master the use of Weka for the effective application of Data Mining techniques.

Differentiate between machine learning algorithms.

Explore clustering techniques for data structure extraction.

Design efficient recommender systems.

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?

This Diploma in Predictive Analytics prepares you to lead in digital transformation, equipping you with skills to analyze complex data, implement Big Data solutions with Hadoop, apply advanced Data Mining techniques with Weka and address challenges in machine learning and Deep learning. Upon completion, you will be able to design data-driven strategies to solve business problems.

Who is it aimed at?

Career opportunities

With this Diploma in Predictive Analytics you will be able to excel as a data scientist, predictive analyst, Big Data solutions developer, machine learning specialist, advanced analytics consultant, among other roles. Companies are looking for experts in this field, which generates various job opportunities in sectors such as finance, health and technology.