Higher Course in Web Analytics and Big Data Higher Course in Web Analytics and Big Data

Online Training

Higher Course in Web Analytics and Big Data

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220 hours

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Spanish

With the rise of new technologies and web development, the need is created for companies to take advantage of relevant information, which can be obtained from the analysis of large volumes of data generated by users, and include them in the business strategy, improving positioning and competitiveness in the markets. This course aims to cover the objectives, techniques and characteristics of web analytics in Big Data environments and that will allow you to analyze both quantitative and qualitative information, offering tangible results for making strategic and marketing decisions through competitive intelligence techniques. At INESEM you will be able to work in a Personal Learning Environment where the student is the protagonist, supported by a large group of tutors who are specialists in the sector.

Instituciones educativas

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$ 9,893

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Know the main phases of a Big Data project - Learn the fundamentals and main metrics of web analytics - Know the methods of information analysis and competitive intelligence - Work with web analytics tools present in the current market - Establish marketing strategies based on data analysis

Content

Career opportunities

- Know the main phases of a Big Data project - Learn the fundamentals and main metrics of web analytics - Know the methods of information analysis and competitive intelligence - Work with web analytics tools present in the current market - Establish marketing strategies based on data analysis

What it prepares you for

With the rise of new technologies and web development, the need is created for companies to take advantage of relevant information, which can be obtained from the analysis of large volumes of data generated by users, and include them in the business strategy, improving positioning and competitiveness in the markets. This course aims to cover the objectives, techniques and characteristics of web analytics in Big Data environments and that will allow you to analyze both quantitative and qualitative information, offering tangible results for making strategic and marketing decisions through competitive intelligence techniques. At INESEM you will be able to work in a Personal Learning Environment where the student is the protagonist, supported by a large group of tutors who are specialists in the sector.

Addressed to

With the rise of new technologies and web development, the need is created for companies to take advantage of relevant information, which can be obtained from the analysis of large volumes of data generated by users, and include them in the business strategy, improving positioning and competitiveness in the markets. This course aims to cover the objectives, techniques and characteristics of web analytics in Big Data environments and that will allow you to analyze both quantitative and qualitative information, offering tangible results for making strategic and marketing decisions through competitive intelligence techniques. At INESEM you will be able to work in a Personal Learning Environment where the student is the protagonist, supported by a large group of tutors who are specialists in the sector.

Methodology

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism. We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs. You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.

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