Selecting platform, discussing contents, refining the chapters. The new year has been opend in the best way with the launch of the Da.Re. Pilot Course for Data Scientists.
The final name of the course is “FUNDAMENTALS of DATA SCIENCE and APPLICATIONS” and is based on 5 different modules to be attended on-line and off-line.
The 4 modules dedicated to the theory we selected for the students are:
In this module students will learn some of the fundamental concepts of data science. This begins with learning how Google Analytics can provide a wide variety of information on the use of websites, including a lot of data on users and how they navigate web sites. Following this you will be introduced to Python, and the use of standard data science libraries including NumPy, Pandas, Scikit-learn and Matplotlib. Then you will learn about the R package that provides a wide variety of methods for statistical analysis of data. The module will end with an overview of a number of mathematical topics used in data science.
Data preparation assumes a critical role in the Data Scientist life. During these modules several keys aspects of preparing the data for later analysis is to be given particularly, ones that are crucial for the applications given with real case studies. In this way, topics such as data loading, sampling, feature extraction and Fourier transform are to be given. At the end of this module it is expected that you are able to successfully prepare your data for an efficient analysis.
The data Analysis module is the gateway to the world of machine learning (ML). In this module the many faces of ML such as dimensionality reduction, classification, prediction and clustering will be unveiled. They are presented in a simple theoretical way with an eye on practical examples; simple implementations using Python are provided, too. At the end of the module you will be asked to be able to appropriately apply the various paradigms and correctly interpret the results.
Now that we have the data, what do we do with it? In this module we will focus on ways we can use visualisation to answer this question. In particular, we will learn how to display data to help us gain insights and communicate these insights to others. We will introduce you to the theory that underpins the making of effective visualisations. We’ll do practical exercises using R, both on sample data and on the real-life provided data from chosen case studies to visualise it in different ways.
The online modules are available on the on the e-learning platform of the University of Camerino, part of them are also published on Futurelearn.com.
Residential Experience with applications in real cases
Participating this module, the students will spend 10 days divided in 2 weeks applying the competences acquired with the online modules to real case studies. The module will start the 1st of April 2019 and will take place in the Marche Region, Italy, at Loccioni.
The case studies will cover:
– Web Analytics applied to your own website
– Time series analysis for biomedical analytics
– The Energy Signature of the Loccioni Leaf Community
– The Stationarity Analysis of the Loccioni Pressure Multiplier
For applying to the Pilot Course follow the link.