Intensive Master in Data Science

Nuclio Digital School

Program Description

Read the Official Description

Intensive Master in Data Science

Nuclio Digital School

Good decisions are always based on data

Develop your expertise in data science by leveraging real-world datasets and learning from industry experts with a Python-based curriculum. Master the relevant tools and techniques to solve real business problems and advance your career today.

Get real results

Our career team helps you identify your strengths, refine your goals and connect you with the more than 200 Nuclio partners to turn your professional aspirations into a reality.

Expert knowledge

Solve problems together with high performance students with diverse backgrounds in science, data analysis, engineering, mathematics and more. Create meaningful connections, meet potential employers and join a community of lifelong learners.

Concepts, platforms and techniques in the course.

  • Programming: R, Python
  • Data visualization: ggplot2, seaborn, matplotlib
  • Inferential statistics,
  • Probability distributions,
  • Regression analysis
  • Classification algorithms
  • Grouping and recommendation.
  • Communication skills: they are essential to adequately explain and visualize everything that was learned before.
  • Data laboratories
  • Final project

Fundamentals of Data Science: Python and statistics

Students are directly incorporated into a Python-based curriculum where we explore and learn best practices in statistical analysis, including frequentist and Bayesian methods. By using software engineering best practices and programming in pairs with peers from different backgrounds, students master the fundamental concepts of data science.

  • Introduction
  • Installing our work tool
  • An introduction to predictive analysis and Machine Learning
  • Data Cleaning

Machine Learning and real case studies

In the second block we began to immerse ourselves in machine learning, working on real problems of classification, regression and grouping using structured and unstructured datasets. We will discover libraries like scikit-learn, NumPy and SciPy, and use real case studies to integrate our understanding of these libraries into real-world applications.

  • Data handling operations
  • Basic concepts of statistics for predictive modeling
  • Linear regression with Python
  • Logistic regression with Python
  • Clustering and classification
  • Random trees and forests

Natural language processing and data visualization

In our third block, we add natural language processing and recommendation systems to our body of knowledge of data science. We learn the processing of open source big data, and finish the Block with perfecting the art of visualization and knowledge of data. At the end of this Block, students must be well versed in conceptual knowledge and ready to embark on independent projects.

  • Vector Support Machines
  • K Nearest Neighbors
  • Recommendation systems
  • Principal component analysis
  • Introduction to neural networks and deep learning with TensorFlow
  • Join R and Python code with the rpy2 library

Capstone project and preparation for the labor market

To complete our immersion program, students work independently on an applied data science project that is unique to their interests or career aspirations in a Capstone project. These projects reflect the set of technical skills that students have learned throughout the course and demonstrate their competence and aptitude as real data scientists.

By 2020, an estimated 1 million new digital and technological jobs in Europe.

The profile of data Science will be one of the most relevant for the productivity of the companies, giving the necessary information to these to be able to have advantage over the competitors.

This school offers programs in:
  • Spanish


Last updated December 6, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Apr. 23, 2019
Duration
Duration
16 weeks
Part time
Price
Price
5,900 EUR
Information
Deadline
Locations
Spain - Barcelona, Catalonia
Start date : Apr. 23, 2019
Application deadline Request Info
End date Request Info
Dates
Apr. 23, 2019
Spain - Barcelona, Catalonia
Application deadline Request Info
End date Request Info