Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Programming with Cloud IoT Platforms
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course aims at introducing IoT Cloud platforms from Samsung, Microsoft, Amazon, IBM and Google and how they can be used in developing IoT applications. This course will be offered in English.
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Course by
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Self Paced
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6 ساعات
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الإنجليزية
Project Planning and Machine Learning
This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Introduction to Digital health
This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data.
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Course by
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Self Paced
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31 ساعات
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الإنجليزية
Information Systems Auditing, Controls and Assurance
The course is awarded The Best Free Online Courses of All Time, and Best Online Courses of the Year (2021 Edition) by Class Central (http://www.classcentral.com). --- Information systems (IS) are important assets to business organizations and are ubiquitous in our daily lives. With the latest IS technologies emerging, such as Big Data, FinTech, Virtual Banks, there are more concerns from the public on how organizations maintain systems’ integrity, such as data privacy, information security, the compliance to the government regulations.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro
Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals.
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Course by
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Self Paced
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البرتغالي
Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro
Neste curso, apresentamos os produtos e serviços de Big Data e machine learning do Google Cloud que dão suporte ao ciclo de vida de dados para IA. Nele, você verá os processos, desafios e benefícios de criar um pipeline de Big Data e modelos de machine learning com a Vertex AI no Google Cloud.
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Course by
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Self Paced
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البرتغالي
Análise de Segmentação de Mercado
Nossas boas-vindas ao Curso Análise de Segmentação de Mercado. Neste curso, você aprenderá que as organizações estão adotando tecnologias de Big Data como parte de sua estratégia de negócios e em um mercado orientado a dados, trabalhar com a segmentação de forma eficiente é um grande desafio para a maioria das empresas. Uma segmentação eficaz consiste em agrupar seu público-alvo conforme a característica de cada indivíduo, reduzindo esforços e direcionando corretamente ao objetivo desejado.
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Course by
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Self Paced
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البرتغالي
Mejores prácticas para el procesamiento de datos en Big Data
En este proyecto de 1 hora, aprenderás a aplicar buenas prácticas bajo el contexto de procesamiento Big Data, utilizando una de las plataformas más importantes en la actualidad, Databricks. Además, podrás analizar las mejores opciones y librerías para la manipulación de datos sobre dataframes de Spark.
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Course by
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Self Paced
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3 ساعات
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الإسبانية
Big Data: capstone project
En este último curso de la Especialización Big Data el estudiante tendrá la oportunidad de aplicar algunas de las herramientas y métodos aprendidos en los cursos anteriores en un caso práctico. El objetivo de este Capstone Project es mostrar un ejemplo del trabajo que se realiza diariamente en el departamento de Cosmología del Port d’Informació Científica, en Barcelona. Se trata de crear un clasificador para imágenes de galaxias, a partir de datos del proyecto GalaxyZoo e imágenes y datos del telescopio Sloan Digital Sky Survey.
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Course by
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Self Paced
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13 ساعات
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الإسبانية
Creando tu plataforma de BIG DATA con EMR
Desarrolla tus habilidades de DE aprendiendo a Crear un cluster de big data de manera rapida y sencilla.
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Course by
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Self Paced
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3 ساعات
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الإسبانية
Crea un app de Machine Learning con Spark, Synapse Analytics
Este proyecto es un curso completo y aplicado para aprender a generar aplicaciones de Machine Learning con Spark MLlib en el entorno de Azure Synapse Analytics.
Realizarás un proyecto práctico, para desarrollar tu propia aplicación de machine learning. Para ello aprenderás todo el proceso de desarrollo, desde el análisis de datos hasta la configuración del modelo y su despliegue.
Azure Synapse Analytics es uno de los entornos más prometedores para el Big Data y en este curso conocerás todo su potencial junto a Spark MLlib.
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Course by
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Self Paced
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3 ساعات
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الإسبانية
Machine Learning con Pyspark aplicado al campo sanitario
Este proyecto es un curso práctico y efectivo para aprender a generar modelos de Machine Learning en un entorno de Big Data con PySpark en proyectos sanitarios.
Te enseñaremos desde cero las bases de PySpark hasta las funciones más complejas. Y finalmente acabarás desarrollando un modelo completo y avanzado con Spark en Jupyter Notebooks.
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Course by
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Self Paced
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3 ساعات
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الإسبانية
Arquitecturas de Big Data
El curso de Arquitecturas de Big Data busca que identifiques las características de una solución de Big Data, los datos asociados a estas soluciones, la infraestructura requerida, y las técnicas de procesamiento escalable. Desarrollaremos ejemplos usando infraestructuras basadas en Hadoop y en Spark, teniendo presente la pertinencia de las plataformas basadas en nube pública para soportar la escalabilidad de estas soluciones. El curso está dirigido a personas con conocimientos básicos en manejo de herramientas computacionales y programación en al menos uno de estos lenguajes (Python, Java).
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Course by
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Self Paced
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16 ساعات
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الإسبانية
Google Cloud Big Data and Machine Learning Fundamentals 日本語版
このコースでは、データから AI へのライフサイクルをサポートする Google Cloud のビッグデータと ML のプロダクトやサービスを紹介します。また、Google Cloud で Vertex AI を使用してビッグデータ パイプラインと ML モデルを作成する際のプロセス、課題、メリットについて説明します。
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Course by
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Self Paced
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ياباني
Introdução ao Big Data
Este curso é indicado para profissionais que desejam entender de forma fácil o que é Big Data, conhecer algumas tecnologias de Big Data, ter acesso a algumas aplicações de Analytics, Internet das Coisas - IOT e de Big Data. Ao final do curso você será capaz de participar de um projeto de Big Data contribuindo com estratégias e direcionando o projeto para a escolha da adequada técnica de análise de dados.
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Course by
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Self Paced
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البرتغالي
Introdução à Ciência e Engenharia de Dados
Neste curso, você aprenderá que os dados se tornaram o principal ativo de negócios nos dias de hoje. Com o aumento do Big Data e criação de novas tecnologias, as organizações em todo o mundo estão inovando e descobrindo novas formas para analisar o potencial dos dados à sua disposição, o que ajuda no crescimento, na lucratividade, no direcionamento das operações gerais e no aumento da satisfação do cliente.
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Course by
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Self Paced
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البرتغالي
Curso Completo de Spark con Databricks (Big Data)
Este proyecto es un curso práctico y efectivo para aprender a utilizar el entorno de Big Data de Spark y Databricks desde cero. Aprenderás, de manera practica y efectiva a generar a utilizar todos los componentes de Spark como Spark SQL, MLlib... Además desarrollaras un modelo de Machine Learning completo con Spark en Databricks.
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Course by
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Self Paced
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3 ساعات
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الإسبانية
Ein Crashkurs in Datenwissenschaft
Inzwischen haben Sie sicher schon von Datenwissenschaft und Big Data gehört. In diesem einwöchigen Kurs werden wir in einem Crashkurs vermitteln, was diese Begriffe bedeuten und inwiefern sie in erfolgreichen Organisationen eine Rolle spielen. Dieser Kurs richtet sich an alle, die mehr über die Datenwissenschaft erfahren möchten, aber auch an jene, die vorhaben, ein Team von Datenwissenschaftlern zu leiten. Das Ziel ist es, Sie so schnell wie möglich pragmatisch mit der Datenwissenschaft vertraut zu machen.
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Course by
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Self Paced
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6 ساعات
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ألماني
A Crash Course in Data Science
By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Python for Genomic Data Science
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Big Data, Artificial Intelligence, and Ethics
This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Distributed Computing with Spark SQL
This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments.
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Course by
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14 ساعات
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الإنجليزية
Introduction to Big Data with Spark and Hadoop
This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark. Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Data-driven Astronomy
Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Foundations of Data Science: K-Means Clustering in Python
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses.
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Course by
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Self Paced
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29 ساعات
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الإنجليزية