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Rent-a-VM to Process Earthquake Data
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
In this lab you spin up a virtual machine, configure its security, access it remotely, and then carry out the steps of an ingest-transform-and-publish data pipeline manually. This lab is part of a series of labs on processing scientific data.
Register for this course and see more details by visiting:
OpenCourser.com/course/74hr1z/rent
What's inside
Syllabus
Rent-a-VM to Process Earthquake Data
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
This course will require learners to have a foundation in data science and cloud computing
You will need basic knowledge of Linux commands, data structures, and algorithms
Provides hands-on experience in using the Google Cloud Platform to process scientific data
Taught by Google Cloud Training, which has a strong reputation in the industry
Covers the fundamentals of data processing in a cloud environment
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Activities
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We're preparing activities for
Rent-a-VM to Process Earthquake Data.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Rent-a-VM to Process Earthquake Data will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs and builds scalable data pipelines to process and transform large volumes of data. This course may be helpful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Data Scientist
Data Scientist
A Data Scientist collects raw data and uses it to develop machine learning models or other analytical solutions. This course may be useful for this role because it provides hands-on experience in spinning up virtual machines and processing earthquake data.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and tests software applications. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
DevOps Engineer
DevOps Engineer
A DevOps Engineer automates and streamlines the software development and deployment process. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Network Engineer
Network Engineer
A Network Engineer designs and manages computer networks. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Systems Administrator
Systems Administrator
A Systems Administrator manages and maintains computer systems and networks. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Security Analyst
Security Analyst
A Security Analyst protects computer systems and networks from unauthorized access and attacks. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Cloud Security Engineer
Cloud Security Engineer
A Cloud Security Engineer protects cloud computing environments from unauthorized access and attacks. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Geophysicist
Geophysicist
A Geophysicist studies the physical properties of the Earth. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
AI Engineer
AI Engineer
An AI Engineer develops and deploys artificial intelligence models. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Data Visualization Engineer
Data Visualization Engineer
A Data Visualization Engineer designs and develops data visualizations. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course may be useful for this role because it provides hands-on experience in setting up and managing virtual machines and processing earthquake data.
For more career information including salaries, visit:
OpenCourser.com/course/74hr1z/rent
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Rent-a-VM to Process Earthquake Data.
Practical guide to machine learning in Python. It covers topics such as data preprocessing, model selection, and evaluation. This book valuable resource for anyone who wants to learn how to use machine learning in Python.
Comprehensive guide to data analysis in Python. It covers topics such as data cleaning, data manipulation, and data visualization. This book valuable resource for anyone who wants to learn how to use Python for data analysis.
Practical guide to Python for data science. It covers topics such as data wrangling, data analysis, and machine learning. This book valuable resource for anyone who wants to learn how to use Python for data science.
Comprehensive guide to data science for business. It covers topics such as data collection, data analysis, and data visualization.
Gentle introduction to machine learning. It covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
Comprehensive guide to deep learning in Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Practical guide to TensorFlow for deep learning. It covers topics such as building and training neural networks, and using TensorFlow for natural language processing and computer vision.
Comprehensive guide to natural language processing in Python. It covers topics such as tokenization, stemming, lemmatization, and parsing.
Comprehensive guide to speech and language processing. It covers topics such as speech recognition, speech synthesis, and natural language understanding.
Save
Comprehensive guide to computer vision. It covers topics such as image processing, feature extraction, and object recognition.
Save
Comprehensive guide to deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/74hr1z/rent
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Effort
40 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
This course will require learners to have a foundation in data science and cloud computing
You will need basic knowledge of Linux commands, data structures, and algorithms
Provides hands-on experience in using the Google Cloud Platform to process scientific data
Taught by Google Cloud Training, which has a strong reputation in the industry
Covers the fundamentals of data processing in a cloud environment
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