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U-tad Centro Universitario de Tecnología y Arte DigitalU-tad Centro Universitario de Tecnología y Arte DigitalU-tad Centro Universitario de Tecnología y Arte DigitalU-tad Centro Universitario de Tecnología y Arte Digital
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  • MEET US
    • U-TAD
    • MISSION, VISION AND VALUES
    • TEACHING MODEL
    • QUALITY AND ACADEMIC EXCELLENCE
    • CAMPUS SERVICES
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  • STUDIES
      • STUDY AREAS
      • ANIMATION
        • 1-animacion
          • QUALIFICATIONS
          • UNDERGRADUATE DEGRESS
            • Bachelor In Animation
          • GRADUATE DEGREES
            • Master’s in 3D Character Animation
            • Professional Master’s in 3D Lighting and VFX
            • Master’s degree in Rigging and Character FX
            • Expert in Character Design

          • VOCATIONAL TRAINING:
            • Vocational Training in 3D Animation, Games and Interactive Environments
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      • DIGITAL DESIGN
        • 2-visual
          • QUALIFICATIONS
          • UNDERGRADUATE DEGREES:
            • Bachelor in Digital Design
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      • VIDEO GAMES
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          • QUALIFICATIONS
          • UNDERGRADUATE DEGREES
            • Bachelor in Game Design
          • GRADUATE DEGREES
            • Master’s Degree in Video Game Programming
            • Master’s in Art and Visual Design for Video Games
            • Master’s in Game Design
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      • ENGINEERING
        • 4-software
          • QUALIFICATIONS
          • UNDERGRADUATE DEGREES
            • Bachelor in Software Engineering
          • GRADUATE DEGREES
            • Master’s in Big Data and Analytics
            • Indra Master’s in Cybersecurity
            • Development Expert for Augmented and Virtual Reality
            • Master’s Degree in Computational Graphics and Simulation
            • Big Data Expert
            • Data Science Expert

          • VOCATIONAL TRAINING:
            • Vocational training in Multiplatform Apps
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  • PROFESSIONAL DEVELOPMENT
  • ADMISSION

DATA SCIENCE EXPERT

LEARN WITH THE BEST:

How can we extract value from the data generated by our clients? Can we identify market trends through data? What are the patterns in consumer behaviour? Learn how to identify consumer trends and behaviour change and generate strategic value for the business through the use of data.

Become a data science professional with the ability to contribute to decision-making in an efficient way by applying analytical techniques to specific business problems, obtaining useful information from data and offering innovative solutions in making decisions. You will learn to extract value from every set of data; supplying creative solutions and scientific results based on data and developing predictive models.

ESPECIALLY DESIGNED FOR:

  • Professionals and Engineering, Maths or Statistics graduates.
  • Graduates with an interest in the world of ICT.

EXECUTIVE SCHEDULE

Practical methodology. Programme adapted to working hours and with a practical methodology.

TECHNOLOGY

Classrooms are equipped with state-of-the-art technology.

FACULTY

Expert faculty made up of active professionals with extensive experience.

PRACTICAL TRAINING

Internship programme at leading companies. Profile with significant professional opportunities.

Data Science Expert

VENUE

U-tad Campus

SCHEDULE

Friday from 4:00 p.m. to 9:00 p.m.

Saturday from 9:00 a.m. to 2:00 p.m.

DURATION

300 h

LANGUAGE

Spanish

STUDY PLAN:

Introduction

SUBJECT

Data science

Comparison with traditional statistical analysis

Business models and applications of data analysis

Legal and regulatory aspects in data analysis

Distributed Computing Platforms

SUBJECT

Introduction to Apache Hadoop and Map-Reduce. Advantages

Other distributed computing models (Storm and Spark)

Introduction to R and Relevant Packages

SUBJECT

R and RStudio command interface

Configuration and installation of packages

Basic statistics commands in R

R relevant packages

Caret; e1071; Data.table; Rpart; RandomForest

Introduction to Python

SUBJECT

IPython development environment

Relevant libraries: NumPy; Scikit-learn; Pandas

Data Storage Techniques

SUBJECT

HDFS storage

NoSQL database storage

Advantages. When they are useful

MongoDB; CouchDB; Apache Cassandra

Redis

Tokyo Cabinet

Examples of NoSQL database storage

(MongoDB; Cassandra; Tokyo; Redis)

Preparation of Data

SUBJECT

Cleaning up and transforming data

Scale changes; NaN; nonexistent observations

Combination of diverse data sources

Pandas. Examples with the Python Pandas library

R: Examples of data preparation with R

Pig/Hive: Examples of data transformation with Pig/Hive

Data Analysis

SUBJECT

Difference between traditional statistical analysis and automatic learning

Descriptive statistical analysis. Probability and inference.

Examples with R

Simple Linear Regression and Logistics

SUBJECT

Examples with R

Graph Theory

Design Methodologies for Data Analysis Applications

SUBJECT

Distribution of data

Test; Train and Validation Sets

Evaluation metrics

Confusion matrices (FP; TP; FN; TN)

Precision metrics; Recall; F-Measure. Cross-validation; Overfitting; ROC and AUC curves

Common problems

Unbalanced data sets and Skew distributions

Under-sampling and Over-sampling

A/B testing

Unsupervised learning and A/B Testing

ACTIVE learning

Supervised Learning Techniques

SUBJECT

Naive Bayes and SVM. Neural networks

Decision trees (ID3 and Cart)

Random forests

Unsupervised Learning Techniques: Clustering

SUBJECT

Collaborative Filtering and Content-based recommenders

Recommendation Systems

SUBJECT

Collaborative Filtering and Content-based recommenders

Approximation Algorithms and Stream Mining

SUBJECT

Hashing techniques; Min-Hash and LSH. Bloom filters

Data Analysis and Natural Language Processing

Data Visualisation and Reporting

SUBJECT

Dimension reduction techniques (PCA; ICA; SVD)

Visualising and communicating data (D3.js. Graphviz; Jung and ggplot2 in R)

Final Project

Skills and Careers

SKILLS

  • Be able to use the new management tools for large data sets, such as the Hadoop ecosystem and other distributed computing models such as Storm and Spark.
  • Carry out advanced data analysis with R, RStudio and relevant packages such as Caret, e1071, RandomForest, data.table, spart, etc.
  • Develop data analysis libraries in Python and use the libraries available in the IPython environment.
  • Understand how to apply the legal and regulatory aspects that affect the analysis of massive data sets originating from automated files.
  • Apply new methodologies for distribution, metrics, evaluation and data testing.
  • Process data sets using new automatic learning techniques.
  • Design and implement validation and testing strategies in production environments.
  • Exploit data in NoSQL environments such as MongoDB, CouchDB, Cassandra, Redis, Tokyo Cabinet and Neo4J.
  • Prepare and clean up data to allow for effective processing and knowledge discovery.
  • Apply advanced descriptive and inferential statistical analysis techniques.
  • Visualise data and create automatic reports with D3.js, Graphviz, Jung, ggplot2.

CAREERS

Data Scientist

Data Analyst

CAMPUS AND FACILITIES

Our classrooms are equipped with the same hardware and software used by the world’s major studios. This high-tech educational environment will allow you to work with the same tools and techniques used at all levels of digital production and to share the same work processes.

PROFESSIONAL DEVELOPMENT

Maintaining a direct connection with the industry from the first day is a key and fundamental part of our philosophy. We prepare our students so that they can immediately and spontaneously find work.

We have created the Career Development Service as part of our practical study methodology. This strategic unit acts as a link between students and companies, allowing them to work on real projects during their studies.

Our Career Development Service provides constant relations with leading companies in each sector throughout the students’ academic career, through internships, job vacancies, classroom projects and support for entrepreneurs.

ADMISSIONS PROCESS

Want to study with us? Here is what you need to do

GUIDANCE

We will guide you about your future and clarify all your questions

DOCUMENTATION

We will inform you about what documents you have to submit

RESERVE YOUR PLACE

Once we have informed you that your application has been accepted, you need to complete the admissions process

ENROLMENT

After complying with all of the requirements, you can complete your enrolment

SCHOLARSHIPS AVAILABLE

Find out about our scholarship programmes.

REQUEST MORE INFORMATION

  • STUDY PLAN
  • CAMPUS
  • PROFESSIONAL DEVELOPMENT
  • ADMISSION
  • SCHOLARSHIPS

  Calle Playa de Liencres, 2 bis
      (Entrance street Rozabella)
      Parque Europa Empresarial
      Edificio Madrid
      28290 Las Rozas, Madrid

  900 373 379      info@u-tad.com
 For more information

      

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Copyright © 2019 U-tad Centro Universitario de Tecnologia y Arte Digital | Política de Privacidad
  • CALL / 900 373 379
  • MEET US
    • U-TAD
    • MISSION, VISION AND VALUES
    • TEACHING MODEL
    • QUALITY AND ACADEMIC ESCELLENCE
    • TEACHERS
    • CAMPUS SERVICES
  • STUDIES
    • BACHELOR’s DEGREE
      • ANIMATION
        • Animation Bachelor Degree
      • VISUAL DESIGN AREA
        • Digital Design Bachelor’s Degree
      • INTERACTIVE DESIGN OF PRODUCTS AND VIDEO GAMES
        • Bachelor’s Degree in Interactive Product Design
      • ENGINEERING
        • Engineering Bachelor’s Degree in Digital Content Development
    • VOCATIONAL TRAINING
      • ANIMATION
        • Vocational Training in 3D Animation, Games and Interactive Environments
      • ENGINEERING
        • Vocational training in Multiplatform Apps
    • POST-GRADUATE
      • ANIMATION
        • Professional Master’s in 3D Lighting and VFX
        • Master’s in 3D Character Animation
        • Master’s degree in Rigging and Character FX
      • INTERACTIVE DESIGN OF PRODUCTS AND VIDEO GAMES
        • Master’s Degree in Video Game Programming
        • Master’s in Art and Visual Design for Video Games
        • Master’s in Game Design
      • ENGINEERING
        • Master’s in Big Data and Analytics
        • Indra Master’s in Cybersecurity
        • Development Expert for Augmented and Virtual Reality
        • Master’s Degree in Computational Graphics and Simulation
        • Big Data Expert
        • Data Science Expert
    • SPECIALIZATION MODULES
      • ENGINEERING
        • Specialisation Module: Web Visualisation
        • Specialisation Module: Visualisation of complex data
        • Specialisation Module: Advanced Wireless Hacking
        • Specialisation Module: Watson Technology
        • Specialisation Module: Spark Technology
        • Specialisation Module: Geospatial Visualisation
        • Specialisation Module: Development of Oculus Virtual Environments
        • Specialisation Module: Data Journalism
        • Specialisation Module: Docker Immersion – U-tad
        • Specialisation Module: Visualisation of complex data
        • Specialisation Module: GPU Programming in CUDA for Big Data
  • ADMISSION
  • INTERNATIONAL
  • PROFESSIONAL DEVELOPMENT
  • HIGH PERFORMANCE CENTER
  • Expert in Character Design
U-tad Centro Universitario de Tecnología y Arte Digital