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UMD, USMx: Digital Marketing Analytics: Tools and Techniques

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Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and Paid search strategies, web analytics, online testing, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.

Digital Marketing Analytics: Tools and Techniques
4 semanas
3–5 horas por semana
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Sobre este curso

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Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business.

This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision making.

This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for any marketing influencers, digital marketing analysts and product and brand decision makers within small and medium businesses as well as larger organizations with international reach.

This course is part of Maryland Smith’s Digital Marketing Professional Certificate. For more information, see here.

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  • Language English
  • Video Transcript English
  • Associated skillsAnalytics, Data Analysis, Big Data, Customer Data Management, Digital Marketing, Analytical Skills, Web Analytics, Data-Driven Decision-Making, Universal Testing Machines, Artificial Intelligence, Contextual Advertising, Machine Learning, Search Engine Optimization, Marketing, Surveys

Lo que aprenderás

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2.1 SEO and SEM - KPIs and keyword strategies

2.2 Web Analytics - A/B Testing

2.3 Recommendation Systems

2.4 Machine Learning/AI applications/Big Data

2.5 Text and Image Analysis

2.6 Attribution/MMM

¿Quién puede hacer este curso?

Lamentablemente, las personas residentes en uno o más de los siguientes países o regiones no podrán registrarse para este curso: Irán, Cuba y la región de Crimea en Ucrania. Si bien edX consiguió licencias de la Oficina de Control de Activos Extranjeros de los EE. UU. (U.S. Office of Foreign Assets Control, OFAC) para ofrecer nuestros cursos a personas en estos países y regiones, las licencias que hemos recibido no son lo suficientemente amplias como para permitirnos dictar este curso en todas las ubicaciones. edX lamenta profundamente que las sanciones estadounidenses impidan que ofrezcamos todos nuestros cursos a cualquier persona, sin importar dónde viva.

Este curso es parte del programa Digital Marketing Professional Certificate

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Instrucción por expertos
4 cursos de capacitación
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4 meses
3 - 5 horas semanales

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