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Introduction to Python

Even though there are several programming languages available for Data Science (R, Julia, Scala, Java, MATLAB…), Python has established itself as the main choice due to its simplicity, availability of libraries, and support from the developer community, among other reasons. In this course, we will cover the main features of Python, its syntax, data types, […]

Python scientific stack

In this course, we will learn about the NumPy library and its multidimensional array, the Pandas library and the structures it offers (Series and DataFrame), and how to efficiently plot data using the Matplotlib and Seaborn libraries, which will be especially useful for both exploratory analysis and communication of results. Course content NumPy Introduction to NumPy The multidimensional array Indexing and selection Array […]

Introduction to Machine Learning with Python

Machine learning algorithms analyze data sets to identify patterns that allow them to make accurate predictions or classifications. The course Introduction to Machine Learning will cover the concept of algorithms, as well as their types and main applications, reviewing the most used algorithms among the great variety of existing ones. In order to attend this […]

Introduction to Natural Language Processing

Natural Language Processing (NLP) is an area of research within the field of Artificial Intelligence that solves problems related to speech-to-text conversion, text processing, or speech generation, among others. Applications of this type of analysis are numerous: text classification, sentiment analysis, or generation of automatic summaries, to name a few. In this course (using the […]

Time series analysis

Time series are used in a multitude of areas, and it is becoming increasingly common for the generation of data to be accompanied by a timestamp. The applications of this type of analysis are innumerable: from the predictive analysis of the evolution of a patient’s vital signs to the prediction of the evolution of a […]

Introduction to Power BI

Power BI is probably the market leader in self-service Business Intelligence tools. This course will review the concepts involved in the use of this powerful tool: loading and transforming data (ETL processes), creation of visualizations, introduction to the DAX data modeling language, uploading reports to the Power BI Service, and creation and sharing of dashboards. […]

Power BI Advanced Tools

To scale our work to the next level of quality in the Power BI environment we need to master advanced tools such as M language, DAX language, data modeling, or usability of navigation reports. All these topics will be covered in this course dedicated to Power BI’s advanced tools. Course content: Query editor Use of […]


The DAX data modeling language developed by Microsoft is probably the biggest differentiator between Power BI and its competitors in the Business Intelligence industry. DAX is a library of functions and operators that can be combined for data modeling in Power BI, Azure Analysis Services, SQL Server Analysis Services (SSAS), and Power Pivot for Excel. […]