Big Data Analytics

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      WHAT YOU WILL LEARN

      COURSE CONTENT

      Unsupervised Methods: Clustering

      An Introduction to Clustering and different methods of clustering

      An Unsupervised learning Algorithm

      Guide to Association Rules

      Unsupervised methods: Association rules and Principal Component Analysis

      Association Rule Mining in R

      The history of Amazon's recommendation algorithm

      Recommendation systems: Netflix, Spotify, Amazon, etc.

      Machine Learning | An Introduction

      Supervised Methods: Classification and regression models

      Supervised learning (predictive)

      How To Use Text Analytics To Improve Customer Experience 

      Text analysis

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      STRUCTURE OF THE COURSE

      YOUR COURSE PLAN

      The course is structured as follows: 

      INDUCTION: participants personal work to get initiated into the topic of the course.

      COURSE CONTENT: in order to work on the content, the course is divided in five sections. Each section combines one live video conference class, combined with online learning through resources and activities to be done before and after the video conference.

      CLOSING SESSION: 1 hour video conference session to sum up the program, solve questions arose during the course and provide general feedback about the requested activities.

      Course calendar

      HOW YOU WILL LEARN

      METHODOLOGY

      The methodology of this course, as al Deusto Summer School courses, will be based on the University of Deusto Learning Model, adapted to distance learning. This model enables the autonomous learning of the students and encourages the development of knowledge, skills, attitudes, capacities and values.

      More information

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      LEARNING METHODS COMBINED

      Combination of live video conference classes with online learning through resources and activities on the university's learning platform.

      02

      DIVERSE RESOURCES

      Use of learning materials in different formats for the presentation of theoretical content.

      03

      ACTIVITIES BEYOND THEORY

      Carrying out different learning activities to verify the acquisition of both theoretical and practical knowledge and the acquisition of skills.

      04

      STUDENTS FOLLOW-UP

      Monitoring of and supervision of the work of the students.

      LECTURERS

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      LECTURERS

      Alex Rayon Jerez is the Vice-Rector for International Relations and Digital Transformation at the University of Deusto. He is also the director of Deusto BigData. With a PhD in Computer Science and Telecommunications, he teaches at the same university in the digital area, both in the Engineering and Business School faculties. His teaching and research interests are based on the digital economy and the opportunities several IT innovations bring. 

      SEE PROFILE

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      Enrique Onieva holds a PhD in Computer Science (University of Granada, 2011). He joined Deusto Institute of Technology (DeustoTech) in 2013, where he has conducted diverse research in the application of soft computing techniques to the field of intelligent transportation systems. He is also professor at the University of Deusto.

      SEE PROFILE

      CERTIFICATE OF PARTICIPATION

      Upon completion of this course participants will obtain a certificate of participation in this 1 ECTS course. 

      CONTACT US

      Deusto_Estudiantes

      CONTACT US

      DEUSTO SUMMER SCHOOL

      Web

      deusto.es/summerschool


      Address

      Ada. Universidades, 24. 48007, Bilbao


      Contact

      summerschool@deusto.es

      Big Data Analytics

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