This is a practical program that allows its participants to acquire the necessary technical knowledge for the implementation of analytical technological initiatives through laboratory-based classes taught by instructors who have specialized technical knowledge in Business Analytics.

The program is intended to enable students to be able to extract information from databases without the assistance of information technology specialists in their organizations, as well as to store that information in analytical repositories, verify and transform that information, and then process and analyze it to create management reports and carry out deep data analysis.


Program rationale:

Information analysis is becoming increasingly relevant within organizations, and it is now understood by top managers that their objectives can only be achieved through the use of reliable information, available in a timely manner. However, while the use of business intelligence, big data and data science is increasingly important for businesses, they often do not have the capabilities necessary to make productive use of information.

There is an awareness that it is urgently necessary to invest efforts and resources in analytical initiatives; however, specific technologies and trained human talent are required to successfully implement such initiatives, which many companies do not have.

The demand for people trained in Business Analytics by national and international companies is increasing daily, and there are many job opportunities for individuals who are capable of carrying out advanced analysis of data and information for their employers.

Upon completing the Data Analysis Technician Program, students will be able to:

• Lead implementation of analytical intelligence projects in their organizations, and optimize information use.

• Understand the components of the technological architecture needed for analytical solutions, and critical elements for success. They will become familiar with different Business Analytics (BA) applications in the business world.

• Implement structured and unstructured databases, perform queries using the SQL language for data extraction, and use ETL (Extraction, Transformation and Load) tools for this purpose.

• Design and implement structured data warehouses for the storage of extracted data.

• Design and implement dashboards, statistical analyses, reports and other analytical outputs using data mining and visualization tools, following best practices for the design and communication of results to the rest of the areas of the organization.

Campuses: San Pedro and Alajuela.

Schedule: 5:30 p. m. to 9:30 p. m. (Saturdays from 8 a. m. to 12 noon).

Frequency: 2 classes a week.

Duration: 6 2-months (2 courses per block).




General Objective: 

Enable students to successfully implement analytical initiatives in their organizations, through the development of technical and organizational skills that allow them to apply their knowledge in such initiatives projects, acting as key participants in advanced data analysis and the creation of management reports.

Specific objectives: 

  1. Review different types of analytical solutions available in the market, and the ways in which they generate value for businesses, taking into account the key elements needed for success.
  2. Train students in the successful implementation of structured databases and the SQL language, as well as unstructured databases (NoSQL), so that they have full autonomy for consulting data sources used in analytical projects.
  3. Study the basic concepts of statistics and data mining in data analysis, assisted by good data visualization practices (management infographics).
  4. Learn about the principles of project management to apply them to the implementation of analytical initiatives.
  5. Provide students with the necessary knowledge for the design and implementation of data repositories (Data Warehousing), as well as tools for Data Extraction, Transformation and Loading (ETL).

Perfil profesional

The Program for Data Analysis Technician (DAT) is designed to empower students in the implementation of analytical initiatives. No technical knowledge of the subject is required, since necessary information will be provided during the course of the program. In addition, given that analytical intelligence is applied to all processes within an organization, no specific business knowledge is required. On the other hand, the ability to read English is required.


For this Program, participants are required to have:

  1. At least a ninth grade diploma. No exceptions.
  2. A personal laptop. No exceptions.
  3. A copy of the student’s personal identification card.
  4. An enrollment application.

Study plan

Block I:

Introduction to decision-making systems.

Introduction to relational databases.

Block II:
Basic SQL.
Introduction to statistics.

Block III:
Advanced SQL.
Introduction to R.

Block IV:

Administration of Analytical Projects.

NoSQL databases.

Block V:

Data Warehousing: concepts and design.

ETL processes.

Block VI:

Introduction to data mining.

Visualization and communication of results.