***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $120! See below for details.***
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 1-week, accelerated online course teaches participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The course features interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The course covers data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization.
PREREQUISITES
To get the most out of this course, participants must complete the prior courses in this specialization:
• Exploring and Preparing your Data
• Storing and Visualizing your Data
• Architecture and Performance
SPECIALIZATION COMPLETION CHALLENGE
As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'From Data to Insights on Google Cloud Platform’ specialization.
Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $120 value given there are 4 courses in the specialization).
You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles.
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Este curso faz parte do Programa de cursos integrados From Data to Insights with Google Cloud Platform
Applying Machine Learning to your Data with GCP
oferecido por
Informações sobre o curso
4.6
238 classificações
Habilidades que você terá
BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
Programa - O que você aprenderá com este curso
Semana
16 minutos para concluir
Introduction
Welcome to the last course in the Data Insights specialization. In this module we will overview the course topics and the labs platform you will be using.
2 vídeos (total de (Total 6 mín.) min)
21 minutos para concluir
Introduction to Machine Learning
In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.
6 vídeos (total de (Total 21 mín.) min), 1 teste
6 videos
Demo: Google Photos2min
What is deep learning?41s
ML Applications for Business3min
ML Terms: Instances, Features, Labels3min
The Spectrum of ML Tools3min
1 exercício prático
Introduction to Machine Learning
2 horas para concluir
Pre-trained ML APIs
In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
9 vídeos (total de (Total 52 mín.) min), 2 testes
9 videos
Demo: Cloud Translate and Vision APIs5min
Demo: Natural Language Processing API3min
Collaborative Notebooks in the Cloud5min
Demo: Cloud Datalab with BigQuery and Google Analytics7min
Accessing BigQuery datasets from Cloud Datalab15min
Visualizing Datasets in Charts1min
Lab Overview28s
Lab Walkthrough10min
1 exercício prático
Notebooks in the Cloud10min
Semana
22 horas para concluir
Creating ML Datasets in BigQuery
8 vídeos (total de (Total 35 mín.) min), 2 testes
8 videos
Choosing good features8min
Exploring and Preprocessing Data1min
Demo: Exploring and Preprocessing Data6min
Other Tools for Creating Data Pipelines50s
Knowing the Unknowable4min
Creating Repeatable Dataset Splits2min
Lab Solution: Creating Repeatable Dataset Splits9min
1 exercício prático
Intro to Machine Learning10min
4 horas para concluir
Creating ML Models in BigQuery
In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.
6 vídeos (total de (Total 54 mín.) min), 1 leitura, 3 testes
6 videos
Phases of Model Building2min
Demo: Predicting Taxi Cab Fare10min
Demo: Creating a Classification Model12min
Lab Intro: Predicting Visitor Return Purchases with BigQuery2min
Lab Solution: Predicting Visitor Return Purchases in BigQuery20min
1 leituras
BigQuery ML Resources10min
1 exercício prático
BigQuery ML
3 minutos para concluir
End of Course Recap
You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.
1 vídeo (total de (Total 3 mín.) min)
1 vídeos
Course Summary3min
80%
consegui um benefício significativo de carreira com este curso
25%
recebi um aumento ou promoção
Melhores avaliações
Enjoyed. I would add more in-depth ML part for BigQuery and different scenario. it also good to explain metric how and how to choose right features etc
The instructor Evan is super great to rolling out machine learning in an easy /understandable way. hope he can tech more in-depth of machine learning.
Sobre Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Sobre o Programa de cursos integrados From Data to Insights with Google Cloud Platform
>>>Look for details below for COMPLETION CHALLENGE, receive up to $120 in Qwiklabs credits<<<
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.
COMPLETION CHALLENGE
For every course you complete before 11:59pm PT May 5, 2019; we will send you 30 Qwiklabs credits (upto $120 USD value)!
>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Perguntas Frequentes – FAQ
Posso assistir uma prévia do curso antes de me inscrever?
Sim, você pode assistir uma prévia do primeiro vídeo e ver programa do curso antes de se inscrever. Você precisa comprar o curso para ter acesso ao conteúdo não incluído na prévia.
Quando terei acesso às palestras e às tarefas?
Se decidir se inscrever no curso antes da data de início da sessão, terá acesso a todos os vídeos das palestras e leituras do curso. Também poderá enviar tarefas assim que a sessão começar.
O que recebo ao me inscrever?
Uma vez inscrito, e tão logo sua sessão tenha iniciado, você terá acesso a todos os vídeos e outros recursos, incluindo itens de leitura e fórum de discussão do curso. Você poderá ver e enviar tarefas práticas e concluir tarefas com nota atribuída obrigatórias para obter uma nota e um Certificado de Curso.
Quando receberei meu Certificado de Curso?
Se você concluir o curso com êxito, seu Certificado de Curso eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn.
Por que não posso assistir este curso como ouvinte?
Este curso é um dos poucos oferecidos pela Coursera que está disponível apenas para alunos que tenham pago ou recebido auxílio financeiro, quando disponível.
Qual é a política de reembolso?
Existe algum auxílio financeiro disponível?
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