Об этом курсе: >>> 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 <<< ***NEW! Specialization Completion Challenge and earn rewards valued at $100. 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 weren't enough of an incentive, we're excited to announce a special completion challenge for 'From Data to Insights with Google Cloud Platform' specialization. Here’s how it works: Our completion challenge runs through August 31, 2018. Complete this Specialization anytime before 11:59pm PT on August 31, 2018 and we'll send you 100 Qwiklabs credits, valued at $100, that you can use to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!
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 | |
| Уровень | Учащийся среднего уровня |
| 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 |
Просмотреть
Программа курса
НЕДЕЛЯ 1
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 видео
- Видео: Qwiklabs Overview
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 видео
- Видео: Demo: Google Photos
- Видео: What is deep learning?
- Видео: ML Applications for Business
- Видео: ML Terms: Instances, Features, Labels
- Видео: The Spectrum of ML Tools
Оцениваемый: Introduction to Machine Learning
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.
11 видео
- Видео: Demo: Cloud Translate and Vision APIs
- Cuadro de aviso de la discusión: Explore the Cloud Vision API
- Видео: Demo: Natural Language Processing API
- Cuadro de aviso de la discusión: Explore the Language APIs
- Видео: Collaborative Notebooks in the Cloud
- Видео: Demo: Cloud Datalab with BigQuery and Google Analytics
- Видео: Accessing BigQuery datasets from Cloud Datalab
- Видео: Visualizing Datasets in Charts
- Видео: Lab Overview
- Видео: Lab Walkthrough
- Видео: Lab Intro
- Elemento LTI: Qwiklabs – Connecting BigQuery to Cloud Datalab
- Видео: Lab Walkthrough
Оцениваемый: Qwiklabs – Practice with ML APIs within Cloud Datalab
Оцениваемый: Notebooks in the Cloud
НЕДЕЛЯ 2
Creating ML Datasets in BigQuery
8 видео
- Видео: Choosing good features
- Видео: Exploring and Preprocessing Data
- Видео: Demo: Exploring and Preprocessing Data
- Видео: Other Tools for Creating Data Pipelines
- Видео: Knowing the Unknowable
- Видео: Creating Repeatable Dataset Splits
- Видео: Lab Solution: Creating Repeatable Dataset Splits
Оцениваемый: Creating Repeatable Dataset Splits with BigQuery
Оцениваемый: Intro to Machine Learning
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 видео, 1 материал для самостоятельного изучения
- Видео: Phases of Model Building
- Видео: Demo: Predicting Taxi Cab Fare
- Leyendo: BigQuery ML Resources
- Видео: Demo: Creating a Classification Model
- Видео: Lab Intro: Predicting Visitor Return Purchases with BigQuery
- Видео: Lab Solution: Predicting Visitor Return Purchases in BigQuery
Оцениваемый: Predicting Visitor Return Purchases with BigQuery
Оцениваемый: Building a Forecasting model in BigQuery ML
Оцениваемый: BigQuery ML
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 видео
Часто задаваемые вопросы
Как это работает
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
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.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми | Доступен |
Рейтинги и отзывы
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.
Interesting labs and handy things to learn
Easy to understand
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
EM
good