Informações sobre o curso: 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
Para quem é direcionado este curso: • 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
Desenvolvido por: Google Cloud
| Informações básicas | Curso 4 de 4 no From Data to Insights with Google Cloud Platform Specialization |
| Nível | Intermediate |
| Compromisso | 1 week of study, 5-7 hours/week |
| Idioma | English |
| Requisitos de hardware | You'll need a desktop web browser to run this course's interactive labs via Qwiklabs. |
| Como ser aprovado | Seja aprovado em todas as tarefas para concluir o curso. |
| Classificação do usuário |
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Programa
SEMANA 1
Module 16: Notebooks in the Cloud
In this module we’re going to dive into one of the most important tools for data scientists: the collaborative notebook on the cloud. As you’ll soon see, notebooks are a great way of breaking down a big data or ML problem into distinct and repeatable steps.
9 vídeos, 1 leitura
- Vídeo: Collaborative Notebooks in the Cloud
- Vídeo: Demo: Cloud Datalab with BigQuery and Google Analytics
- Vídeo: Accessing BigQuery datasets from Cloud Datalab
- Vídeo: Visualizing Datasets in Charts
- Vídeo: Practice Reading ML Models - Intro
- Reading: ML Notebook Example
- Vídeo: Demo: Using ML to Map Manhattan
- Vídeo: Module Summary
- Vídeo: Lab Intro
- LTI Item: Qwiklabs – Connecting BigQuery to Cloud Datalab
- Vídeo: Lab Walkthrough
Nota atribuída: Notebooks in the Cloud
Module 17: Intro to Machine Learning
In this module we’ll explore an overview of what Machine Learning is from a high-level theoretical perspective and then tour how ML has become part of the culture here at Google. After that we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.
7 vídeos
- Vídeo: What is ML?
- Vídeo: Pre-Trained ML Models
- Vídeo: Demo: Cloud Translate and Vision APIs
- Discussion Prompt: Explore the Cloud Vision API
- Vídeo: Demo: Natural Language Processing API
- Discussion Prompt: Explore the Language APIs
- Vídeo: Lab Overview
- LTI Item: Qwiklabs – Practice with ML APIs within Cloud Datalab
- Vídeo: Lab Walkthrough
- Vídeo: Advancing from Data Analysis to Data Science
Nota atribuída: Intro to Machine Learning
Module 18: Cloud Datalab ML Toolbox
Now that you have an understanding of what Machine Learning is and what it can do, let’s continue to build your skillset with more hands on practice with ML models in Cloud Datalab. This module is about Cloud Datalab’s ML Toolbox which provides a friendly abstraction layer instead of writing TensorFlow ML code.
11 vídeos
- Vídeo: Cloud Datalab ML Toolbox
- Vídeo: End-to-end ML Phases Overview
- Vídeo: Model Training
- Vídeo: Model Evaluation
- Vídeo: Model Prediction
- Vídeo: Model Training with the Cloud
- Vídeo: Model Evaluation with Cloud Dataflow
- Vídeo: Model Prediction and Deployment with CMLE
- Vídeo: Model Monitoring with CMLE
- Vídeo: Lab Overview
- LTI Item: Qwiklabs – End-to-End ML Practice with ML Toolbox
- Vídeo: Lab Walkthrough
Nota atribuída: Cloud ML Toolbox
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Coursework
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Desenvolvedores
Google Cloud
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Custo
| Comprar curso | |
|---|---|
| Acesso aos materiais do curso | Disponível |
| Acesso a materiais valendo nota | Disponível |
| Receba uma nota final | Disponível |
| Obtenha um Certificado de Curso compartilhável | Disponível |
Classificações e avaliações
Good introduction to ml for me given i had no previous knowledge on the basics.
This was a great course on Machine Learning with BigQuery and Cloud Datalab. The exploration was very good for starters.
Thank you.
ok
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This was a great course in going beyond the lecture to applying the concepts of creating, training, testing and deploying a machine learning model