About this Course

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Learner Career Outcomes

67%

started a new career after completing these courses

55%

got a tangible career benefit from this course

12%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 10 hours to complete
English

Skills you will gain

BigqueryMachine LearningGoogle Cloud PlatformCloud Computing

Learner Career Outcomes

67%

started a new career after completing these courses

55%

got a tangible career benefit from this course

12%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 10 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week
1

Week 1

6 minutes to complete

Introduction

6 minutes to complete
2 videos (Total 6 min)
2 videos
Qwiklabs Overview5m
21 minutes to complete

Introduction to Machine Learning

21 minutes to complete
6 videos (Total 21 min)
6 videos
Demo: Google Photos2m
What is deep learning?41s
ML Applications for Business3m
ML Terms: Instances, Features, Labels3m
The Spectrum of ML Tools3m
1 practice exercise
Introduction to Machine Learning
3 hours to complete

Pre-trained ML APIs

3 hours to complete
8 videos (Total 46 min)
8 videos
Demo: Cloud Translate and Vision APIs5m
Demo: Natural Language Processing API3m
Collaborative Notebooks in the Cloud5m
Demo: Cloud Datalab with BigQuery and Google Analytics7m
Accessing BigQuery datasets from Cloud Datalab15m
Visualizing Datasets in Charts1m
Cloud AI Platform Notebooks4m
1 practice exercise
Notebooks in the Cloud30m
Week
2

Week 2

2 hours to complete

Creating ​ML Datasets in BigQuery

2 hours to complete
8 videos (Total 35 min)
8 videos
Choosing good features8m
Exploring and Preprocessing Data1m
Demo: Exploring and Preprocessing Data6m
Other Tools for Creating Data Pipelines50s
Knowing the Unknowable4m
Creating Repeatable Dataset Splits2m
Lab Solution: Creating Repeatable Dataset Splits9m
1 practice exercise
Intro to Machine Learning30m
4 hours to complete

Creating ML Models in BigQuery

4 hours to complete
7 videos (Total 69 min), 2 readings, 3 quizzes
7 videos
Phases of Model Building2m
Demo: Predicting Taxi Cab Fare10m
Demo: Creating a Classification Model12m
Lab Intro: Predicting Visitor Return Purchases with BigQuery2m
Lab Solution: Predicting Visitor Return Purchases in BigQuery20m
Demo: AutoML Tables15m
2 readings
BigQuery ML Resources10m
AutoML Tables10m
1 practice exercise
BigQuery ML
3 minutes to complete

End of Course Recap

3 minutes to complete
1 video (Total 3 min)
1 video

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About the From Data to Insights with Google Cloud Platform Specialization

From Data to Insights with Google Cloud Platform

Frequently Asked Questions

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