Courses

Business Intelligence – Predictive Analytics – Big Data – Statistics

Business Intelligence

Business Intelligence: all you need to know about methods, processes and tools

The course offers an overall vision of Business Intelligence systems, starting from the modelling of the data warehouse, to describing the main characteristics of ETL systems, to building OLAP cubes and reports.

Power BI: beginner to advanced

Self-service BI is one of the hot topics of the moment. Microsoft offers a number of add-ins that integrate with Excel 2013 and Office solution 365.

SSAS Tabular Modeling

SQL Server’s in-memory engine, or Analysis Services Tabular Model, provides an alternative to the multidimensional OLAP engine for many implementation scenarios.

Building an ETL system with SSIS

ETL system is an important element of the BI system because it is through the former that the data warehouse is loaded.

Predictive Analytics

Introduction to Data Analytics

This course introduces you to the World of Data Science offering a comprehensive view of Machine Learning techniques used to understand and prepare data for more advanced analysis.

Fundamentals of Predictive Analytics: from theory to practice in two days

This course offers an overview of Predictive Analytics techniques, from both a theoretical and a practical standpoint.

Data Analysis with R

R is a development environment for statistical data analysis, but that is not all. It is a free software, distributed under the GNU GPL licence. R is emerging worldwide as the most used software for statistical, econometrics, and financial analysis as well as a tool for predictive analysis and machine learning.

Predictive Analytics with R

The course has the purpose of teaching the participants how to develop a Predictive Analytics solution with R, test it, and evaluate its accuracy.

Predictive Analysis with RULEX

RULEX (RULe EXtractor) is an innovative tool for the analysis of data through statistical and machine learning methods.

Predictive Analytics with Microsoft Azure Machine Learning

Within the Azure portal, Microsoft offers an extremely powerful and versatile Machine Learning tool. Azure ML permits us to implement Machine Learning models in a very straightforward way.

Big Data

Big Data Analytics: all you need to know about Big Data

The realization of an architecture for managing big data is the first step in managing and using them in corporate systems. In order to exploit Big Data one must know the analytical tools included in the Hadoop platform, such as MapReduce, HIVE, Pig, and Mahout.

Big Data Analytics with Spark

Apache Spark is becoming central in the World of Big Data. Spark is a system for distributed calculus, which is fault tolerant and easily scalable. It is able to work efficiently and quickly with huge amounts of data.

Statistics

Data Analysis with SPSS

SPSS (Statistical Package for Social Science) is one of the best-known softwares for data elaboration in various sectors, such as psychology, sociology, political sciences, medicine/biology, marketing and market analysis.

Data analysis with STATA

STATA is a statistical package with very broad applications. It is widely used in the academic world and in research, especially in the fields of economics, sociology and political sciences.

Data analysis with SAS

SAS System is arguably the most well-known software in the World for data analysis. This is due to its flexibility in terms of high-level programming language, and already-implemented procedural libraries.

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