About this Course
4.4
1,299 ratings
147 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 7 hours to complete

Suggested: 1 week of study, 6-8 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

BigqueryApache BeamDataflowPublish–Subscribe Pattern
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 7 hours to complete

Suggested: 1 week of study, 6-8 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
7 minutes to complete

Welcome to Serverless Data Analysis with Google BigQuery and Cloud Dataflow

...
Reading
1 video (Total 7 min)
Video1 video
Hours to complete
5 hours to complete

Module 1: Serverless Data Analysis with BigQuery

...
Reading
19 videos (Total 123 min), 4 quizzes
Video19 videos
What is BigQuery?5m
BigQuery Demonstration3m
BigQuery Benefits7m
BigQuery in a Reference Architecture8m
Queries and Functions8m
Subqueries and Multiple Tables3m
Lab - Serverless Data Analysis (Java/Python) : Part 12m
Lab demo and review9m
Load and Export Data2m
Lab demo and review13m
Advanced Capabilities in BigQuery7m
Arrays and Structures6m
Join condition and Window Functions6m
User-defined Functions3m
Lab demo and review14m
Performance and Pricing7m
Wildcard Tables and Partitioning7m
BigQuery Plans and Categories4m
Quiz1 practice exercise
Module 1 Quiz4m
Hours to complete
8 hours to complete

Module 2: Autoscaling Data Processing Pipelines with Dataflow

...
Reading
12 videos (Total 97 min), 7 quizzes
Video12 videos
Write Data Pipelines in Java and Python9m
Input Output and Run6m
Lab demo and review18m
MapReduce and Parallel Processing11m
GroupBy and Combine7m
Combine vs GroupBy7m
Lab demo and review6m
Side Inputs7m
Lab demo and review10m
Dataflow Templates and Dataprep4m
Resourcesm
Quiz1 practice exercise
Module 2 Quiz4m
4.4
Career direction

25%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

12%

got a pay increase or promotion

Top Reviews

By MHJun 4th 2018

Nice course. Needed options for python codes in the end of the course. In the beginning you had options to look at both python and java, but this were not the case in the later stages.

By JCOct 31st 2017

Great content, but I really prefer the videos with Lak. He's easier to follow, and more enthusiastic. Also, the video structure here just seems more chaotic than the first course.

About 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....

About the Data Engineering on Google Cloud Platform Specialization

>>> 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 <<< ***COMPLETION CHALLENGE; receive a GCP t-shirt, see more below.*** This five-week specialization provides participants a hands-on introduction to designing and building data processing systems on Google Cloud Platform. Participants will learn how to design data processing systems, build end-to-end data pipelines, analyze data and carry out machine learning. This course teaches the following skills: • Design and build data processing systems on Google Cloud Platform • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow • Derive business insights from extremely large datasets using Google BigQuery • Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML • Enable instant insights from streaming data This class is intended for developers who are responsible for: • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports COMPLETION CHALLENGE-Complete any GCP specialization from Oct 23 - Nov 30, 2018 to participate. Check Discussion Forums for full details....
Data Engineering on Google Cloud Platform

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid. If you’d like to take this course, but can’t afford the course fee, we encourage you to submit a financial aid application.

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