Minería de Datos: Segmentación de Mercados
Learn data mining techniques for market segmentation and discover customer buying habits to define strategic marketing approaches.
Learn data mining techniques for market segmentation and discover customer buying habits to define strategic marketing approaches.
Discover the power of data mining for effective market segmentation. This course teaches you to build models that uncover customer buying patterns, allowing you to define targeted marketing strategies and make data-driven decisions. Using RapidMiner software, you'll learn to apply K-means clustering techniques to segment markets according to consumer profiles. The course covers essential concepts in big data, artificial intelligence fundamentals, and data preprocessing methods that help you extract valuable insights from customer transaction data. By the end, you'll be able to implement predictive measures and create decision trees that provide competitive advantages in business intelligence.
Instructors:
Roman Alberto Zamarripa Franco
Spanish
Español
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What you'll learn
Understand concepts related to big data and data mining Comprehend K-means clustering techniques for customer segmentation Apply RapidMiner software to generate data mining models Implement market segmentation models in your data analysis Explore practical applications of data mining in marketing strategy Discover how to build effective decision trees from consumer data Learn to preprocess and select data for meaningful analysis Develop skills to gain competitive advantages through business intelligence
Skills you'll gain
This course includes:
PreRecorded video
Graded assessments
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This comprehensive course covers the fundamentals of big data and data mining techniques, with a focus on market segmentation using the K-means algorithm. Students learn theoretical foundations and practical applications through specialized software like RapidMiner. The curriculum includes understanding big data in marketing, exploring various data mining techniques and their applications, implementing K-means clustering for market segmentation, mastering RapidMiner's interface, and building effective data mining models. The course emphasizes preprocessing, selecting, and processing data to identify key patterns in customer purchasing decisions, enabling businesses to implement predictive measures and generate decision trees for competitive advantage.
Módulo 1 : Big data
Module 1
Módulo 2 : Minería de datos
Module 2
Módulo 3 : Segmentación de mercados con k-Means
Module 3
Módulo 4 : Software especializado Rapidminer
Module 4
Módulo 5 : Aplicación de segmentación de mercados k-Means
Module 5
Fee Structure
Payment options
Financial Aid
Instructor
Roman Alberto Zamarripa Franco
3 Courses
Expert in Big Data, Educational Tech, and Programming
Dr. Zamarripa teaches Big Data and research at Anáhuac, with 24 years of experience and a focus on educational tech, networks, and programming.
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