Objectives

Explore the origins of Statistics.

Capture key concepts and data.

Master Descriptive Statistics.

Understand probability distributions.

Apply the Central Limit Theorem.

Design effective samples.

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?

The Program in Applied Statistics prepares you to understand and use the fundamental tools of statistics, from its beginnings to current applications. You will learn to organize and analyze data, explore probabilities, the central limit theorem and the principles of sampling. You will develop skills in parameter estimation, hypothesis testing and will use techniques of analysis of variance and linear regression. This program will enable you to improve statistical processing and analysis in a variety of practical contexts.

Who is it aimed at?

The Applied Statistics Program is aimed at professionals and students seeking to strengthen their statistical and analytical knowledge. Ideal for those who need to understand and apply statistical methods, from basic concepts to linear regression and non-parametric statistics, to improve the interpretation of data in their work or academic field. No previous advanced knowledge is required, only an interest in deepening applied statistical analysis.

Career opportunities

The Program in Applied Statistics opens up a range of opportunities for data analysts and consultants, market researchers and data scientists in a variety of industries. Master everything from descriptive to inferential statistics, sampling designs and linear regression to interpret and predict trends. Apply probability theories and test hypotheses in real-world settings, positioning yourself at the forefront of data-driven decision making.