Об этом курсе: 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

Для кого этот курс: • 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

Автор: Google Cloud

Основные сведения	Course 4 of 4 in the From Data to Insights with Google Cloud Platform Specialization
Уровень	Intermediate
Выполнение	1 week of study, 5-7 hours/week
Язык	English
Требования к аппаратным средствам	You'll need a desktop web browser to run this course's interactive labs via Qwiklabs.
Как пройти курс	Чтобы пройти курс, выполните все оцениваемые задания.
Оценки пользователей	4.6 звезды Средняя оценка пользователей: 4.6Посмотрите, что пишут учащиеся

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Программа курса

НЕДЕЛЯ 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 видео, 1 материал для самостоятельного изучения

Видео: Demo: Cloud Datalab with BigQuery and Google Analytics
Видео: Accessing BigQuery datasets from Cloud Datalab
Видео: Visualizing Datasets in Charts
Видео: Practice Reading ML Models - Intro
Reading: ML Notebook Example
Видео: Demo: Using ML to Map Manhattan
Видео: Module Summary
Видео: Lab Intro
LTI Item: Qwiklabs – Connecting BigQuery to Cloud Datalab
Видео: Lab Walkthrough

Оцениваемый: 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 видео

Видео: Pre-Trained ML Models
Видео: Demo: Cloud Translate and Vision APIs
Discussion Prompt: Explore the Cloud Vision API
Видео: Demo: Natural Language Processing API
Discussion Prompt: Explore the Language APIs
Видео: Lab Overview
LTI Item: Qwiklabs – Practice with ML APIs within Cloud Datalab
Видео: Lab Walkthrough
Видео: Advancing from Data Analysis to Data Science

Оцениваемый: 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 видео

Видео: End-to-end ML Phases Overview
Видео: Model Training
Видео: Model Evaluation
Видео: Model Prediction
Видео: Model Training with the Cloud
Видео: Model Evaluation with Cloud Dataflow
Видео: Model Prediction and Deployment with CMLE
Видео: Model Monitoring with CMLE
Видео: Lab Overview
LTI Item: Qwiklabs – End-to-End ML Practice with ML Toolbox
Видео: Lab Walkthrough

Оцениваемый: Cloud ML Toolbox

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Как это работает

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Авторы

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.

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