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Inicio 4 June 2026 04:41

Fin 4 June 2026

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Data Mining for Smart Cities

Minería de Datos para Ciudades Inteligentes | Universidad Estatal de Arizona | Coursera El Internet de las cosas (IoT) se ha convertido en un componente significativo de la vida urbana, dando lugar a las "ciudades inteligentes." Estas ciudades inteligentes tienen como objetivo transformar los conglomerados urbanos actuales en espacios habitables.
Arizona State University via Coursera

Arizona State University

19 Cursos


La Universidad Estatal de Arizona es una universidad pública de investigación en los EE. UU. con 5 campus en toda el área metropolitana de Phoenix, ofreciendo más de 350 programas de grado de alta calidad.

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Resumen

Internet of things (IoT) has become a significant component of urban life, giving rise to “smart cities.” These smart cities aim to transform present-day urban conglomerates into citizen-friendly and environmentally sustainable living spaces. The digital infrastructure of smart cities generates a huge amount of data that could help us better understand operations and other significant aspects of city life.

In this course, you will become aware of various data mining and machine learning techniques and the various datasets on which they can be applied.

You will learn how to implement data mining in Python and interpret the results to extract actionable knowledge. The course includes hands-on experiments using various real-life datasets to enable you to experiment on your domain-related novel datasets.

You will use Python 3 programming language to read and preprocess the data and then implement various data mining tasks on the cleaned data to obtain desired results.

Subsequently, you will visualize the results for the most efficient description.

University:

Arizona State University

Provider:

Coursera

Categories:

Python Courses, Machine Learning Courses, Anomaly Detection Courses, Deep Learning Courses, Supervised Learning Courses, Unsupervised Learning Courses, Data Mining Courses, Data Visualization Courses


Impartido por

Dr. Dheeraj Kumar


Materias