Upper University Course in Data Analyst (University Degree + 12 ECTS credits)

Data analysis for decision -making is a key factor in any current company. In this sense, thanks to the use of Big Data, we can deal with huge amounts of information, so large that a traditional relational database is not enough to address the work. Throughout this course in Data Analyst we will see such important concepts within the analysis of data such as Nosql, Data Warehouse and Data Mining. In addition, we will see how Machine Learning can be used to create choice and neural networks, as well as the practical application through statistical programming, presenting all the tools and capabilities of a high -level professional.

- Learn the concepts of databases Nosql, Data Warehouse and Data Mining, as well as their application. - Create and manage a Mongodb database and process data with Hadoop. - Understand what business intelligence is and what types of tools exist for application. - Understand the use of web analytics for Big Data and its application through the Google Analytics tool. - Make a basic statistical program in Python and R.

Data analysis is a professional field in full and with an insufficient number of experts in the sector. Therefore, carrying out a course in Data Analyst specialized in this will grant you the necessary knowledge to be able to opt for positions as demanded as data analyst, Big Data Expert, Data Analyst or Data Engineer, among other trades.

Thanks to the realization of this course in Data Analyst you will be able to perform an exhaustive analysis of any available information source. Through the use of NOSQL, Data Mining and Data Warehouse databases you can create a system capable of analyzing and reporting great value information for any company. In addition, thanks to Machine Learning and statistical programming you can perform high -level analysis.

This course in Data Analyst is aimed at various profiles and is applicable to numerous sectors, since it is suitable for all those university graduates or diploma who wish to acquire knowledge about data analysis and processing technologies, as well as experience with experience with experience who wish to update and adapt to current trends.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.