***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 <<<
Этот курс входит в специализацию ''Специализация From Data to Insights with Google Cloud Platform'
Applying Machine Learning to your Data with GCP
от партнера
Об этом курсе
4.6
Оценки: 238
Приобретаемые навыки
BigqueryMachine LearningGoogle Cloud PlatformCloud Computing
Программа курса: что вы изучите
Неделя
16 минут на завершение
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 ((всего 6 мин.))
21 минута на завершение
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 ((всего 21 мин.)), 1 тест
6 видео
Demo: Google Photos2мин
What is deep learning?41
ML Applications for Business3мин
ML Terms: Instances, Features, Labels3мин
The Spectrum of ML Tools3мин
1 практическое упражнение
Introduction to Machine Learning
2 ч. на завершение
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 видео ((всего 52 мин.)), 2 тестов
9 видео
Demo: Cloud Translate and Vision APIs5мин
Demo: Natural Language Processing API3мин
Collaborative Notebooks in the Cloud5мин
Demo: Cloud Datalab with BigQuery and Google Analytics7мин
Accessing BigQuery datasets from Cloud Datalab15мин
Visualizing Datasets in Charts1мин
Lab Overview28
Lab Walkthrough10мин
1 практическое упражнение
Notebooks in the Cloud10мин
Неделя
22 ч. на завершение
Creating ML Datasets in BigQuery
8 видео ((всего 35 мин.)), 2 тестов
8 видео
Choosing good features8мин
Exploring and Preprocessing Data1мин
Demo: Exploring and Preprocessing Data6мин
Other Tools for Creating Data Pipelines50
Knowing the Unknowable4мин
Creating Repeatable Dataset Splits2мин
Lab Solution: Creating Repeatable Dataset Splits9мин
1 практическое упражнение
Intro to Machine Learning10мин
4 ч. на завершение
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 ((всего 54 мин.)), 1 материал для самостоятельного изучения, 3 тестов
6 видео
Phases of Model Building2мин
Demo: Predicting Taxi Cab Fare10мин
Demo: Creating a Classification Model12мин
Lab Intro: Predicting Visitor Return Purchases with BigQuery2мин
Lab Solution: Predicting Visitor Return Purchases in BigQuery20мин
1 материал для самостоятельного изучения
BigQuery ML Resources10мин
1 практическое упражнение
BigQuery ML
3 минуты на завершение
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 ((всего 3 мин.))
1 видео
Course Summary3мин
4.6
Рецензии: 2380%
получил значимые преимущества в карьере благодаря этому курсу
25%
стал больше зарабатывать или получил повышение
Лучшие рецензии
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.
О 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.
О специализации ''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 <<<
Часто задаваемые вопросы
Можно ли ознакомиться с курсом до регистрации?
Да, до регистрации можно просмотреть первое видео и программу курса. Чтобы получить полный доступ к материалам курса, необходимо оплатить его.
Когда я получу доступ к лекциям и заданиям?
Регистрируясь на курс до начала сессии, вы получаете доступ ко всем видеолекциям и материалам для самостоятельного изучения. Задания можно отправлять после начала сессии.
Что я получу, зарегистрировавшись на курс?
После регистрации на курс и начала сессии вы получаете доступ ко всем видео и другим ресурсам курса, включая материалы для самостоятельного изучения и форумы обсуждений. Вы сможете выполнять тренировочные, а также сдавать обязательные оцениваемые задания и получить сертификат о прохождении курса.
Когда я получу сертификат о прохождении курса?
Если вы успешного пройдете курс, на странице ваших достижений появится электронный сертификат, который можно распечатать или прикрепить к профилю LinkedIn.
Почему я не могу прослушать этот курс?
Это один из немногих курсов на Coursera, которые предоставляются только на платной основе.
Какие правила возврата средств?
Можно ли получить финансовую помощь?
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