From Data to Insights with Google Cloud Platform Specialization

Start Date: 12/13/2020

Course Type: Specialization Course

Course Link:

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About Course

Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: ● Data Analysts, Business Analysts, Business Intelligence professionals ● Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<<

Course Syllabus

Exploring ​and ​Preparing ​your ​Data with BigQuery
Creating New BigQuery Datasets and Visualizing Insights
Achieving Advanced Insights with BigQuery
Applying Machine Learning to your Data with GCP

Deep Learning Specialization on Coursera

Course Introduction

Learn Data Analysis that Scales. Learn how to query and process petabytes of data in seconds From Data to Insights with Google Cloud Platform Specialization In this course you will take the first half of a two-part series that covered the use of BigQuery in analytics and data mining. We covered the use of Hadoop, Spark and friends in the first half of the course. Then you moved to the use of analytics tools by using Spark. Last, we covered advanced usage of Spark in Production. In this course, you will continue to learn about the use of technologies such as Hadoop, Spark and friends to solve your data mining and analytical problems. You will also build a strong understanding of the "Big Data" landscape. In the first half of the course, you will add Spark and Hadoop components to your system. You will also add Spark jobs to your Hadoop cluster. In the second half of the course, you will use Hadoop-based analytical tools to mine and visualize data. In the first half of this course, you will add Hadoop-based tools to your pipeline. You will also add Spark jobs to your Hadoop cluster. In the second half of the course, you will use Hadoop-based analytical tools to mine and visualize data. In the first half of the course, you will add Hadoop-based tools to your system. You will also add Spark jobs to your Hadoop cluster. In the second half of the course, you will use Hadoop-based analytical tools to

Course Tag

Bigquery Machine Learning Data Visualization (DataViz) SQL

Related Wiki Topic

Article Example
Google Cloud Platform Google Cloud Platform is a part of a suite of enterprise services from Google Cloud and provides a set of modular cloud-based services with a host of development tools. For example, hosting and computing, cloud storage, data storage, translations APIs and prediction APIs.
Google Cloud Platform Google Cloud Platform is a cloud computing service by Google that offers hosting on the same supporting infrastructure that Google uses internally for end-user products like Google Search and YouTube. Cloud Platform provides developer products to build a range of programs from simple websites to complex applications.
Google Cloud Dataproc Google Cloud Dataproc (Cloud Dataproc) is a cloud-based managed Spark and Hadoop service offered on Google Cloud Platform. Cloud Dataproc utilizes many Google Cloud Platform technologies such as Google Compute Engine and Google Cloud Storage to offer fully managed clusters running popular data processing frameworks such as Apache Hadoop and Apache Spark.
Google Cloud Dataproc Cloud Dataproc includes many open source packages used for data processing, including items from the Spark and Hadoop ecosystem, and open source tools to connect these frameworks with other Google Cloud Platform products.
Google Insights for Search Google Insights for Search was a service by Google similar to Google Trends, providing insights into the search terms people use in the Google search engine. Unlike Google Trends, Google Insights for Search provides a visual representation of regional interest on a country's map. It displays top searches and rising searches that may help with keyword research. Results can be narrowed down with categories that are displayed for each search terms.
Google Cloud Datastore Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. Cloud Datastore is built upon Google's Bigtable and Megastore technology.
SAP Cloud Platform Some applications are available from the SAP HANA App Center, to extend and integrate applications, customize existing applications, and extend their mobile footprint with mobile-first apps. With SAP Cloud Platform organizations can better engage with customers and empower employees and developers can build applications which are running in the cloud, but still access data from premise or other clouds.
SAP Cloud Platform SAP Cloud Platform is a platform as a service developed by SAP SE for creating new applications or extending existing applications in a secure cloud computing environment managed by SAP. The SAP Cloud Platform integrates data and business processes.
Google Cloud Print Google Cloud Print integrates with the mobile versions of Gmail and Google Docs, allowing users to print from their mobile devices. Google Cloud Print is listed as a printer option in the Print Preview page of Google's Web browser, Google Chrome, in Chrome 16 and higher. "Legacy", also called "classic", printers (those without cloud printing capabilities) are supported through a "Cloud Print Connector" integrated with Google Chrome versions 9 and higher.
Networked Insights Networked Insights’ technology platform, called 'Kairos', includes online analytical processing and social media measurement tools. Its software as a service analytics platform combines user-defined logic with multiple sources of network data and ability for intelligence gathering and analysis across open social media and private customer networks. The Networked Insights platform discerns engagement using semantic analysis around specific topics and themes relevant to a brand, differing from traditional social media monitoring in that it doesn’t require users to manually read through content.
SAP Cloud Platform Initially unveiled as SAP NetWeaver Cloud belonging to the SAP HANA Cloud portfolio on October 16, 2012 the cloud platform was reintroduced with the new name SAP HANA Cloud Platform on May 13, 2013 as the foundation for SAP cloud products, including the SAP BusinessObjects Cloud. Adoption of the SAP HANA Cloud Platform has increased steadily since the platform's launch in 2012, with SAP claiming over 4000 customers and 500 partners adopting the SAP HANA Cloud Platform.
Google Cloud Dataproc Cloud Dataproc is a Platform as a service (PaaS) product designed to combine the Spark and Hadoop frameworks with many common cloud computing patterns. Cloud Dataproc separate compute and storage, which is a relatively common design for many cloud Hadoop offerings. Cloud Dataproc utilizes Google Compute Engine virtual machines for compute and Google Cloud Storage for file storage. Cloud Dataproc has a set of control and integration mechanisms that coordinate the lifecycle, management, and coordination of clusters. Cloud Dataproc is integrated with the YARN application manager to make managing and using clusters easier.
Google Cloud Print Google Cloud Print is a Google service that was created to allow any Cloud-Print-aware application (web, desktop, mobile) on any device in the network cloud to print to any printer – without Google having to create and maintain printing subsystems for all the hardware combinations of client devices and printers, and without the users having to install device drivers to the client, but with documents being fully transmitted to Google. Since July 23, 2013 it also allows printing from any Windows application, if Google Cloud Printer is installed on the machine.
Google Cloud Print On July 23, 2013 Google updated the service to allow printing from any Windows application, if Google Cloud Printer is installed on the machine. Another new feature is Google Cloud Print Service, which can run as a Windows service so administrators can connect legacy printers to Google Cloud Print in their businesses.
Google Cloud Messaging Google Cloud Messaging functions using server APIs and SDKs, both maintained by Google. The GCM has the ability to send push notifications, deep-linking commands, and application data. Larger messages can be sent with up to 4 KB of payload data.
Google Insights for Search On September 27, 2012, Google Insights for Search was closed and merged into Google Trends again.
Google Cloud Messaging The transition to Google Cloud Messaging was first announced when the Android service was unveiled on June 27, 2012, at Google I/O. Shortly after announcing the Google Cloud Messaging service, Google published documentation to guide application developers with migrating from the C2DM and onto the new service. Migrating to the service required SDK and code changes, as well as a release of an application update to the publish repository (such as Google Play) for downloading and updating.
SAP Cloud Platform SAP Cloud Platform, developer edition offers users easy and free way to explore SAP Cloud Platform and it's capabilities. In addition to 1GB shared SAP HANA, SAP Cloud Platform provides users to:
SAP Cloud Platform SAP Cloud Platform is promoted to build and extend business applications with rapid innovation cycles.
Google Data Liberation Front The Google Data Liberation Front is an engineering team at Google whose "goal is to make it easier for users to move their data in and out of Google products." The team, which consults with other engineering teams within Google on how to "liberate" Google products, currently supports 27 products. The purpose of the Data Liberation Front is to ensure that data can be migrated from Google once an individual or company stops using their services.