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Data Science on the Google Cloud Platform

Advanced · 9 Labs · 59 Credits · 9h 4m

Use Case (Intermediate) Datascienceongcp

This Quest 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. Students are given the opportunity to practice all aspects of ingestion, preparation, processing, querying, exploring and visualizing data sets using Google Cloud Platform tools and services.

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.

Icon  fundamental Fundamental 5 Credits 45 Minutes

Ingesting Data Into The Cloud Using Google App Engine

This lab demonstrates how to use local Python scripts to retrieve data from the US Bureau of Transport Statistics website, then modify the data so they can be run using Google App Engine.

Icon  fundamental Fundamental 5 Credits 1 Hour

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.

Icon  advanced Advanced 7 Credits 45 Minutes

Visualizing Data with Google Data Studio

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

Icon  advanced advanced 7 Credits 1 Hour 30 Minutes

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.

Icon  advanced advanced 7 Credits 1 Hour

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.

Icon  advanced advanced 7 Credits 1 Hour

Loading Data into Google BigQuery for Exploratory Data Analysis

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

Icon  advanced advanced 7 Credits 1 Hour 15 Minutes

Exploratory Data Analysis using Google Cloud Datalab

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

Icon  advanced advanced 7 Credits 1 Hour

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.

Icon  advanced advanced 7 Credits 45 Minutes

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