Scientific Data Processing

Scientific Data Processing

Google BDL-SCIDP

GBP 59.40
Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines.
 
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GBP 59.40

Introduction to SQL for BigQuery and Cloud SQL

Module 1

Introduction to SQL for BigQuery and Cloud SQL

Introduction to SQL for BigQuery and Cloud SQL

Google LIS-GOOGLE-2194
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

SQL (Structured Query Language) is a standard language for data operations that allows you to ask questions and get insights from structured datasets. It's commonly used in database management and allows you to perform tasks like transaction record writing into relational databases and petabyte-scale data analysis.

This lab serves as an introduction to SQL and is intended to prepare you for the many labs and quests in Qwiklabs on data science topics. This lab is divided into two parts: in the first half, you will learn fundamental SQL querying keywords, which you will run in the BigQuery console on a public dataset that contains information on London bikeshares.

In the second half, you will learn how to export subsets of the London bikeshare dataset into CSV files, which you will then upload to Cloud SQL. From there you will learn how to use Cloud SQL to create and manage databases and tables. Towards the end, you will get hands-on practice with additional SQL keywords that manipulate and edit data.

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Rent-a-VM to Process Earthquake Data

Module 2

Rent-a-VM to Process Earthquake Data

Rent-a-VM to Process Earthquake Data

Google LIS-GOOGLE-2166
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.
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Weather Data in BigQuery

Module 3

Weather Data in BWeather Data in BigQuery

Weather Data in BigQuery

Google LIS-GOOGLE-2037
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab you analyze historical weather observations using BigQuery and use weather data in conjunction with other datasets. This lab is part of a series of labs on processing scientific data.
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Distributed Image Processing in Cloud Dataproc

Module 4

Distributed Image Processing in Cloud Dataproc

Distributed Image Processing in Cloud Dataproc

Google LIS-GOOGLE-2272
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab, you will learn how to use Apache Spark on Cloud Dataproc to distribute a computationally intensive image processing task onto a cluster of machines.
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Analyzing Natality Data Using AI Platform and BigQuery

Module 5

Analyzing Natality Data Using AI Platform and BigQuery

Analyzing Natality Data Using AI Platform and BigQuery

Google LIS-GOOGLE-2033
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.
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Predict Baby Weight with TensorFlow on AI Platform

Module 6

Predict Baby Weight with TensorFlow on AI Platform

Predict Baby Weight with TensorFlow on AI Platform

Google LIS-GOOGLE-2035
GBP 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab you train, evaluate, and deploy a machine learning model to predict a baby’s weight. You then send requests to the model to make online predictions. This lab is part of a series of labs on processing scientific data.
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