Google Cloud Platform Big Data and Machine Learning Fundamentals

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课程主页: https://www.coursera.org/archive/gcp-big-data-ml-fundamentals

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This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following: • A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python Google Account Notes: • Google services are currently unavailable in China.

Google Cloud Platform大数据和机器学习基础知识:为期2周的按需加速课程向参与者介绍了Google Cloud Platform(GCP)的大数据和机器学习功能。它提供了Google Cloud Platform的快速概述,并更深入地介绍了数据处理功能。 在本课程结束时,参与者将能够: •确定Google Cloud Platform中关键的大数据和机器学习产品的目的和价值 •使用CloudSQL和Cloud Dataproc将现有的MySQL和Hadoop / Pig / Spark / Hive工作负载迁移到Google Cloud Platform •使用BigQuery和Cloud Datalab进行交互式数据分析 •在Cloud SQL,BigTable和Datastore之间选择 •使用TensorFlow训练和使用神经网络 •在Google Cloud Platform的不同数据处理产品之间选择 在注册此课程之前,参与者应具有大约一(1)年的以下一项或多项经验: •通用查询语言,例如SQL •提取,转换,加载活动 •数据建模 •机器学习和/或统计 •用Python编程 Google帐户注释: •中国目前无法使用Google服务。

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