Objectives

To know essential statistical techniques and concepts.

To identify the most relevant statistical software currently in use.

Develop skills for the design, analysis and interpretation of studies and experiments.

To interpret statistical results in a clear and effective way.

Promote critical reasoning to evaluate and improve statistical models and methods.

Content

Methodology

Entre el material entregado en este curso se adjunta un documento llamado Guía del Alumno dónde aparece un horario de tutorías telefónicas y una dirección de e-mail dónde podrá enviar sus consultas, dudas y ejercicios. La metodología a seguir es ir avanzando a lo largo del itinerario de aprendizaje online, que cuenta con una serie de temas y ejercicios. Para su evaluación, el alumno/a deberá completar todos los ejercicios propuestos en el curso. La titulación será remitida al alumno/a por correo una vez se haya comprobado que ha completado el itinerario de aprendizaje satisfactoriamente.

What does it prepare you for?

This Diploma in Applied Statistics will train you to transform raw numbers into meaningful stories, informed decisions and innovative solutions. You will acquire skills to accurately manage, analyze and interpret data using cutting-edge statistical tools. Upon completion, you will not only be a master statistician, but also a data storyteller, able to communicate insights and findings with clarity and conviction.

Who is it aimed at?

The Diploma in Applied Statistics is ideal for those who wish to enhance their analytical skills, whether they are recent graduates, professionals seeking a job retraining or experts who wish to update and deepen their skills in statistics. The objective is to master the art and science of statistics.

Career opportunities

With the Diploma in Applied Statistics under your belt, a range of opportunities will open up. You will be able to excel in data analysis in companies, research in academic institutions, statistical consulting for different sectors or specialization in quality control. Different areas of knowledge are looking for professionals to interpret data effectively.