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Data Science on Google Cloud

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Data Science on Google Cloud

1일 Advanced universal_currency_alt 크레딧 55개
This is the first of two Quests of hands-on labs is derived from the exercises from the book Data Science on Google Cloud Platform by Valliappa Lakshmanan, published by O'Reilly Media, Inc. In this first Quest, covering up through chapter 8, you are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud tools and services.

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  • 실습

    BigQuery 및 Cloud SQL용 SQL 소개

    이 실습에서는 기본적인 SQL 절을 학습하고 BigQuery 및 Cloud SQL에서 구조화된 쿼리를 실행하는 연습을 진행합니다.

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    Ingesting Data Into The Cloud

    In this lab you'll learn how to use a bash script to download selected data from a large public data set that is available on the internet.

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    Loading Data into Google Cloud SQL

    In this lab you will import data from CSV text files into Cloud SQL and then carry out some basic data analysis using simple queries.

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    Visualizing Data with Google Data Studio

    This lab demonstrates how to use Google Data Studio to visualize data stored in Google Cloud SQL.

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    Processing Data with Google Cloud Dataflow

    In this lab you will simulate a real-time real world data set from a historical data set. This simulated data set will be processed from a set of text files using Python and Google Cloud DataFlow, and the resulting simulated real-time data will be stored in Google BigQuery.

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    Visualize Real Time Geospatial Data with Google Data Studio

    Use Google Dataflow to process real-time streaming data from a real-time real world historical data set, storing the results in Google BigQuery and then using Google Data Studio to visualize real-time geospatial data.

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    Loading Data into BigQuery for Exploratory Data Analysis

    You will learn how to load text data into BigQuery and then use that data for rapid exploratory data analysis using Google Cloud Datalab notebooks.

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    Exploratory Data Analysis Using AI Platform

    Learn the process of analyzing a data set stored in BigQuery using AI Platform to perform queries and present the data using various statistical plotting techniques.

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    Evaluating a Data Model

    Learn the process for partitioning a data set into a training set that will be used to develop a model, and a test set that can then be used to evaluate the accuracy of the model and then independently evaluate predictive models in a repeatable manner.

  • info
    Quest Info
    Prerequisites
    This Quest assumes you have access to the O’Reilly book Data Science on the Google Cloud Platform as the labs only include the exercises from the end of each chapter and do not contain the concepts or teaching from the text itself. The labs use Google Cloud Services and Tools for data storage, transformation, and warehousing, so it is recommended that the student also has earned Badges for the Baseline: Data, ML, and AI and the GCP Essentials Quests before beginning.