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Course in Big Data applied to Marketing

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About this course

This course in Big Data applied to Marketing is aimed at students and marketing or IT professionals who wish to acquire knowledge about big data applied to marketing and all those interested in orienting their profession within a growing sector...

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University degree

200 h

Online

8 ECTS (Créditos)

Titulacion

Qualification of Course in Big Data applied to Marketing

University Degree in Big Data applied to Marketing with 200 hours and 8 ECTS credits by the Catholic University of Murcia.

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Universidad Católica San Antonio de Murcia

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Objectives

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Develop and implement a Big Data project within the marketing area.

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To understand all the steps to follow within a Big Data project.

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Deepen the scope and economic valuation of a Big Data project.

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Analyze and manage the data obtained.

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Use CRM and Business Intelligence tools.

Why choose Course in Big Data applied to Marketing?

Did you know that Big Data is transforming the world of marketing? As you read this, millions of data are being generated by your potential customers: what they are looking for, what they buy, what they want. And here's the key: whoever knows how to read that data dominates the market. But it's not enough to know that data exists, you have to know how to use it strategically.

That's why this course is perfect for you if you want to become a true digital marketing strategist. Let's cut to the chase: Here we're not talking about simple reports or pretty graphs, but about transforming data into smart decisions, optimizing campaigns and skyrocketing your results.

What will you learn in this course

From basic to advanced, each module is designed to get you to master the tools and concepts that really matter. No useless theory. What you'll get here is practical skills:

  1. Understanding Big Data: How to collect, organize and analyze marketing-relevant data.
  2. Advanced Segmentation Strategies: Identify which customer will buy, when they will buy and how you can influence their decision.
  3. Analysis Tools like an Expert: From advanced Excel to data mining tools and OLAP systems.
  4. Predictive marketing: Learn how to anticipate market needs.
  5. Web and mobile analytics: Discover how to measure the performance of campaigns on social networks, websites and mobile apps.
  6. Defining and measuring KPIs: Identify the key indicators that will drive your business growth.

Why this course and not another?

There are hundreds of courses out there, but few offer up-to-date, practical and focused content on strategic marketing like this one. It's not just another course; it's a program designed to turn you into a professional who can speak the language of data and translate it into high-impact actions.

Also, imagine being able to compete on equal footing with large companies that have already mastered Big Data. With this course, that will be possible.

What sets you apart as a Big Data and Marketing specialist

  • Real Knowledge: You finish the course with a complete vision, from basic web analytics to business intelligence.
  • Constant practice: You work on real cases and tools that companies use today.
  • Connection with global trends: You understand how modern marketing evolves thanks to data analysis.

The competitive advantage is clear: Whoever has the data, has the power. Are you ready to be that professional?

Who is it aimed at?

  • Marketers who want to optimize advertising campaigns.
  • Business professionals who are looking for more informed decisions.
  • Entrepreneurs who need to better understand their customers.
  • Data analysts who want to specialize in marketing.

It doesn't matter your current level of knowledge. This course takes you step-by-step, from basic concepts to advanced implementation.

Practical details

The course is structured in modules, each designed to cover an essential aspect of Big Data applied to marketing. It includes:

  • Online classes and downloadable material.
  • Access to tools and practical examples.
  • Certification endorsed by industry experts.

And the best part: you can start right now and advance at your own pace.

Don't wait any longer

The market doesn't stand still. Every day that passes, someone else is understanding your customer better than you. Don't lose that advantage. It's time to learn to play by the rules of the new marketing.

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Content

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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.

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What does it prepare you for?

This course in Big Data applied to Marketing prepares you to carry out big data projects with topics oriented to digital marketing. You will learn what digital marketing is all about, as well as web analytics, learning to analyze quantitative and qualitative information. You will be able to establish Business Intelligence products such as Balanced Scorecards, Decision Support Systems and Executive Information Systems.

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Who is it aimed at?

This course in Big Data applied to Marketing is aimed at students and marketing or IT professionals who wish to acquire knowledge about big data applied to marketing and all those interested in orienting their profession within a growing sector such as the field of big data.

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Career opportunities

Thanks to the Course in Big Data applied to Marketing you will be able to develop your professional career as a big data marketing analyst, technological advisor specialized in big data and marketing, consultant, business analyst, etc. You will be able to work in any online company, analyzing and managing the data that support the marketing strategy.

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