About this course: This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following: • A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python Google Account Notes: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google is currently blocked in China). • There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602 • More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/
Who is this class for: This class is intended for Data analysts, Data scientists and Business analysts. It is also suitable for IT decision makers evaluating Google Cloud Platform for use by data scientists. This class is for people who do the following with big data: • Extracting, Loading, Transforming, cleaning, and validating data for use in analytics • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports
Taught by: Google Cloud Training
| Basic Info |
Course 1 of 5 in the
Data Engineering on Google Cloud Platform Specialization.
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| Level | Intermediate |
| Commitment | 1 week of study, 6-10 hours/week |
| Language | English |
| Hardware Req | You'll need a Google account and credit card to sign up for the Google Cloud Platform free trial. |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
The training videos are well designed and instructor explained the concepts from scratch, simple and straight forward with different examples/case studies. I learnt about different solutions used under GCP. I'm happy with the time and effort (and $$ ofcourse) I've put and would like to thank Coursera for providing such learning opportunity through their channel. Looking forward to get on more on the same subject
It is very useful
Great short course for a intro into Gcloud and the Big Data/ML capabilities of cloud
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NK
Easy to understand and implement. Perfect for beginners!