Miembro desde 2018
Data Science on the Google Cloud Platform
Earned abr 12, 2020 EDT
Modelo de referencia: datos, AA, IA
Earned abr 11, 2020 EDT
[DEPRECATED] Data Engineering
Earned abr 11, 2020 EDT
NCAA® March Madness®: Bracketology with Google Cloud
Earned abr 27, 2019 EDT
Esta es la primera de las dos Quests de labs prácticos derivada de los ejercicios del libro Data Science on Google Cloud Platform de Valliappa Lakshmanan, editado por O'Reilly Media, Inc. En esta primera Quest, en el capítulo 8, tiene la oportunidad de practicar todos los aspectos de la transferencia, la preparación, el procesamiento, las consultas, la exploración y la visualización de los conjuntos de datos con las herramientas y los servicios de Google Cloud Platform.
Los macrodatos, el aprendizaje automático y la Inteligencia Artificial son temas informáticos populares en la actualidad; sin embargo, estos campos son muy especializados y es difícil conseguir material básico. Por suerte, Google Cloud proporciona servicios fáciles de usar en estas áreas y, con este curso de nivel básico, puedes dar tus primeros pasos con herramientas como BigQuery, la API de Cloud Speech y Video Intelligence.
This advanced-level quest is unique amongst the other catalog offerings. The labs have been curated to give IT professionals hands-on practice with topics and services that appear in the Google Cloud Certified Professional Data Engineer Certification. From Big Query, to Dataprep, to Cloud Composer, this quest is composed of specific labs that will put your Google Cloud data engineering knowledge to the test. Be aware that while practice with these labs will increase your skills and abilities, you will need other preparation, too. The exam is quite challenging and external studying, experience, and/or background in cloud data engineering is recommended. Looking for a hands on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of the Engineer Data in the Google Cloud to receive an exclusive Google Cloud digital badge.
In this series of labs you will learn how to use BigQuery to analyze NCAA basketball data with SQL. Build a Machine Learning Model to predict the outcomes of NCAA March Madness basketball tournament games.