Data Scientist Specialized in Data Analytics Training

Why this programme?

 

Artificial Intelligence (AI) is transforming our lives, being present in the most diverse areas of our daily routines. Industry is no exception, and the enormous potential of AI in this sector has contributed to turn production into a more efficient, flexible, and reliable process. 

The information that may be extracted through advanced processing techniques from the high volume of data generated by organisations is of great relevance and can be used to support operational and strategic decisions. 

One of the great challenges of this digitalisation is linked to the lack of Human Resources and the upcoming difficulty to recruit and retain qualified professionals. With the Recovery and Resilience Plan creating the space for companies to adapt to the new green and digital reality, our training course is an opportunity for companies to re-qualify their workers and promote an upskilling culture, becoming a more attractive workplace. 

This training, made available for many years in Germany by the famous Fraunhofer IAIS Institute and recognised as an asset by the German Industry, will be conducted in Portuguese by researchers and experienced professionals in Artificial Intelligence and Data Science

With a strong practical component, the training course will rely on examples and exercises to prepare participants for an immediate application of the knowledge in their professional challenges. 

Fraunhofer Portugal AICOS’ expertise, namely in Intelligent Systems, counts on the contribution of a team of researchers with proven knowledge in areas such as Signal and Image Processing, and Machine Learning: the nuclear areas needed to develop systems with the ability to perceive, analyse, learn, and support decision making. 

The experience of more than 12 years of Fraunhofer Portugal AICOS, combined with the expertise of Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) - one of the leading scientific institutes in the fields of artificial intelligence, machine learning and big data in Germany and Europe - gives rise to the Data Scientist Specialized in Data Analytics Training Programme. 

 

Target audience

 

This program was created for technical staff and specialists from companies facing the challenges of digitization, specifically: 

> Data managers who want to learn to describe data in an effective and integrated way; 

> Data Analysts who want to learn how to use Machine Learning tools to develop predictive models in order to detect trends in data, make predictions and categorizations that support decisions. 

> Programmers interested in Machine Learning techniques. 

> Anyone with STEM background interested in the career of Data Analyst. 

 

Content/Program

DAY 1

 

> Introduction to Data Analytics 

> Data Preparation 

> Supervised Modeling: Classification 

> Data Analytics with graphical tools – KNIME 

DAY 2

 

> Visual Data Analytics

> Data Analytics with script languages - Python

> Supervised Modeling: Regression

> Unsupervised Modeling: Clustering

DAY 3

 

> Model Optimization and Selection

> Time Series Analysis

> Neural Networks

> Outlier detection

 

DAY 4

 

> Data Preparation with Python

> Exploratory Data Analysis with Python

> Statistical Data Analysis with Python

> Modeling and Evaluation with Python

Experts



Inês Sousa is Head of Intelligent Systems and Senior Scientist at Fraunhofer Portugal. She has been researching on machine learning, signal processing and time series analysis, specifically focusing on human motion analysis based on inertial sensors. In the Intelligent Systems Department, she leads a team of around 25 researchers, who investigate ways in which Artificial Intelligence can augment human potential in interpreting vast amounts of data, identifying patterns, anticipating events and supporting decisions. Inês Sousa holds a PhD in Biomedical Engineering from the University of Lisbon. Her thesis on functional Magnetic Resonance Imaging of the brain using quantitative methods was developed at Siemens Healthcare Portugal and distinguished with the António Xavier Award. Additionally, she has been a visiting researcher in the Biomedical Imaging Center (CIBM) at Ecole Polytechnique Fédérale de Lausanne, an invited lecturer in Master program in radiations applied to health technologies and research intern at Philips Research Europe.

 

 

Maria Vasconcelos is a Senior Scientist at Fraunhofer Portugal AICOS. She received a BSc in Mathematics Applied to Technology in 2002 from Faculty of Sciences of the University of Porto, a Master in Applied Statistics and Modelling in 2006 and a PhD in Informatics Engineering in 2015, both from the Faculty of Engineering of the University of Porto in 2015. She worked in statistics at Interpay Nederland BV and as consultant of document management at Link Consulting SA. She worked also as Invited Assistant at University of Porto, Faculty of Engineering and at School of Engineering, Polytechnic of Porto. Her main research activities are in the area of Computer Vision and Machine Learning.

 

André Carreiro is a Senior Researcher of the Intelligent Systems Group at Fraunhofer Portugal AICOS. Ph.D. in Biomedical Engineering from Técnico Lisboa – University of Lisbon, he has applied Machine Learning techniques since 2010, and has been working with Deep Learning methods since 2016, both in academia and industry, resulting in a balance between innovation and making sure such techniques are applied efficiently to solve real-world problems, in areas from Healthcare to Security, and Industry.

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