DATA SCIENCE

DEVELOPER

“DISCOVER MEANINGFUL INSIGHTS”

The Data Science Developer Bootcamp is a 165-hour on-site program aimed at IT professionals with basic coding knowledge that seek to learn the main Artificial Intelligence techniques and how to apply them into different industry cases.       

This program starts with the preparation of data (analysis and cleaning) using Python and R. Then students will learn how to find meaningful information by navigating through different methodologies such as historic human labels, clusters, segmentations and patterns. Finally, deep learning will be applied to tackle more complex data followed by data visualization. The course will finish by analyzing the complete cycle of Artificial Intelligence (AI) and the wide range of the commercial applications it has. 

Powered by the IMMUNE Institute, this bootcamp combines a faculty that includes top IT professionals with Study-Case methodology to provide real-world scenarios and a practical approach.

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INTAKE

November 2019

LOCATION

IMMUNE Campus - Madrid, Spain

Paseo de la Castellana 89

PRICE

6.500€

 

DURATION

18 weeks

Fridays 17h - 22h & Saturdays 10h - 15h

REQUIREMENTS

Basic programming knowledge *

*Access to a 80h prework if you lack experience on this field

FOR

IT Professionals that want to acquire a deep understanding of data science

Graduates in Mathematics, Statistics, Computer Science or similar

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Mónica Villas - Program Director

Ex IBM Technology Executive. Technology consultant. Founder of Additum

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Óscar Delgado, IMMUNE Academic Director

PhD Director of Master in Blockchain and Criptoeconomy - UAM

CTO Noisy

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FACULTY

 
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Juan Benavente

Industry 4.0 & Blockchain Expert - CEPSA

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Juan Brugera

Big Data Engineer - BBVA Data & Analytics

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Carlos Eduardo Chavez

Senior Data Scientist - Whiseathenea

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Ana Laguna

Founder of SoGooD2ata

jaime requejo

CTO Cognitive Solutions Spain, Portugal, Israel & Greece - IBM

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Daniel Villanueva

BigData Developer / Lecturer Project Manager - Indra

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rafael hernández

Data Scientist - BBVA Data & Analytics

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ALEJANDRO DÍAZ

Data Scientist - BBVA Next Technologies

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Cristina Soguero

PHD Assistant

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maría hernández

Senior Data Scientist - BBVA Data & Analytics. Lecturer

ACADEMIC PROGRAM

 
 

The program is hands-on, with a very practical focus to learn Artificial Intelligence with Python (90%)  and R (10%). Take an exponential leap in your career and become an expert in the most demanded and ground-breaking field.

 

1: INTRODUCTION TO AI. KEY MATHEMATICAL CONCEPTS FOR AI

This module introduces the basic concepts in AI, and the basic mathematical concepts in Algebra and Statistics which are needed to understand the rest of the topics in the course.

2: DATA MANIPULATION AND ANALYSIS (PYTHON/R)

In this module will cover the key libraries in Python and the basics in R: data access, preprocessing and exploratory analysis to understand the content of the data.

3: SUPERVISED MACHINE LEARNING. CLASSIFICATION AND REGRESSION

This type of learning requires human intervention for the creation of labels in the historical data. In this way the machine will be able to predict a result based on this data.

 

4: UNSUPERVISED MACHINE LEARNING

The objective is to find patterns and structures hidden in the data that was not labeled by humans. A common example is the customer segmentation with similar attribute for marketing campaigns.

Case Study: Applied dimensionality reduction and its effect in the classification techniques.

5: DEEP LEARNING AND NEURAL NETWORKS

Basic principles of Deep Learning ans  key algorithms required to understand the concept of a neural network.

The densely connected network, convolutional neural network (CNN)  and recurrent neural network(RNN) will be covered in this module as well as GANs and Boltzman machines.

Case Study: Audio analysis with TensorFlow.

6: DATA VISUALIZATION

Data Visualization using Python and R libraries together with a grafo visualization. This module will also cover 3D graphics usin Python.

 


7: AI LIFECYCLE & AI COMMERCIAL TOOLS

This module covers the lifecycle from the access to data, preprocessing, analysis, training to the deployment in production. The challenges such as fairness, key regulation topics and the future of AI.

Final project.


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INDUSTRY TALKS

 

Experts in the field of Data Science will join our program to share their experiences in their industries. Alicia Mateo and Olga Blanco are some of the experts that will join us during the courses.

 
 
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Olga Blanco

Executive Partner Cognitive & Analytics, Data Platforms, IoT, Consulting Leader SPGI - IBM

“The mix of teachers with a lot of experience in technology from the sector seems to me to be the right combination for this program”

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Alicia Mateo

Forecast & Demand Manager Endesa Energia

“Immune’s Data Science Bootcamp provides students with a balanced combination between theory and industry’s study cases, I’m so glad to participate in this program.”