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Home / FACULTAD DE CIENCIA DE DATOS E INTELIGENCIA ARTIFICIAL / Course in Data Preprocessing and Analysis
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The course in data preprocessing and analysis is aimed at anyone interested in entering the world of data science and analytics. This course is also very useful for professionals who wish to get into data preprocessing and analysis, continue the...
See moreUniversity degree
200 h
Online
8 ECTS (Créditos)
University Degree in Preprocessing and Data Analysis Course with 200 hours and 8 ECTS credits by the Catholic University of Murcia.
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Subscribe nowDid you know that 90% of the data generated in the world is never analyzed? Yes, you read that right. That ocean of information is out there, waiting for someone like you to turn it into pure gold. Why not be that person?
This course is not just another "learning experience". It is the key to mastering the most advanced data analytics tools and techniques, transforming you into a professional capable of predicting trends, optimizing strategies and making decisions based on real data.
You think it sounds complicated? Relax, because here you go from zero to hero, regardless of whether you come from a marketing, technology or design background.
For YOU, if you're tired of being ignored in meetings because you don't speak the "language of data." It is also perfect if you dream of being that professional that companies are looking for as if you were a technological unicorn. Big companies, small companies, they all need data experts!
Whether you work in marketing, web development, financial analysis or research, this course is like a magic wand that transforms your career.
Instead of boring manuals full of technicalities, here you go straight to practical action. The program is designed so that you end up with tangible projects, ready to show off in your portfolio or present at job interviews.
You will learn with real cases, because theory without practice is useless. In addition, you don't need previous experience, just a desire to learn.
Today, companies need data experts like water in the desert. With this training, you'll be ready for roles like:
Or, why not, start your own business based on data analytics.
We know that making decisions is difficult, ironically, because we don't always have clear data. But now you can change that. Invest in this course and become the professional you've always dreamed of being.
Click the button and begin your journey into the fascinating world of data analytics.
Your future is just a click away. Ready to transform your life and career?
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.
This online course in data preprocessing and analysis prepares you to manage all stages of a data science project involving data. With it, you will learn the basics of Python and R programming, how to handle data stored in relational and NoSQL databases, which packages help us with data analysis and finally how to present the results obtained.
The course in data preprocessing and analysis is aimed at anyone interested in entering the world of data science and analytics. This course is also very useful for professionals who wish to get into data preprocessing and analysis, continue their training or update their knowledge in this area.
With the completion of this course in Data Preprocessing and Analysis you will develop your professional career in the field of data science in general. In particular, this course will prepare you to perform two of the fundamental functions in any project: data analyst and data preprocessing expert.
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