We may earn an affiliate commission when you visit our partners.
Victor Dantas
In this course, _Adopting a Data Science Workflow in Google Cloud Platform_, you’ll learn to use various Google Cloud Platform solutions for your data science needs. First, you’ll explore data discovery and ingestion options. Next, you’ll discover BigQuery, Google Cloud’s data warehouse, and Vertex AI, an end-to-end data science and machine learning platform. Finally, you’ll learn how to process data at scale with Dataflow and Dataproc. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud Platform products needed to adopt an end-to-end data science workflow.
Register for this course and see more details by visiting:
OpenCourser.com/course/ummsdb/adopting
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches skills and knowledge that enable learners to adopt a comprehensive data science workflow on GCP
Covers multiple aspects of data science on GCP, from data discovery to model deployment
Leverages popular GCP services like BigQuery, Vertex AI, Dataflow, and Dataproc, making the learning highly relevant to industry practices
Taught by Victor Dantas, an experienced instructor in data science and cloud computing
Save this course
Save Adopting a Data Science Workflow in Google Cloud Platform to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Adopting a Data Science Workflow in Google Cloud Platform with these
activities:
Review Cloud Platform Basics
Show steps
Review the fundamentals and core principles of Cloud Platform services to strengthen your foundation for this course.
Browse courses on
Cloud Platform
Show steps
-
Read the GCP documentation on key concepts and services.
-
Watch introductory videos and tutorials on GCP.
Compile a Glossary of Data Science Terms
Show steps
Create a comprehensive glossary of key data science and Cloud Platform terms to enhance your understanding and retention of course concepts.
Show steps
-
Gather data science terms from course materials, online resources, and industry articles.
-
Define each term concisely and clearly.
-
Organize terms alphabetically or by topic.
-
Review the glossary regularly as a reference.
Review data science fundamentals
Show steps
Get up to speed with data science concepts and techniques to prepare for the course.
Browse courses on
Data Science
Show steps
-
Review concepts of probability and statistics
-
Explore data science libraries and tools
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Review Big Query concepts
Show steps
Help build a stronger knowledge base in data warehousing prior to starting the course
Browse courses on
BigQuery
Show steps
-
Read articles on BigQuery basics
-
Watch videos on BigQuery use cases
-
Complete an online tutorial on BigQuery
Complete Quickstart Guides for GCP Services
Show steps
Follow official GCP quickstart guides to gain hands-on experience with key services and build familiarity with their functionality.
Show steps
-
Choose a service you want to explore, such as BigQuery or Vertex AI.
-
Follow the step-by-step instructions in the quickstart guide to set up and use the service.
-
Test and experiment with different features and options.
Follow a data science tutorial series
Show steps
Solidify your understanding of data science concepts by following a structured tutorial.
Browse courses on
Data Science
Show steps
-
Identify a reputable data science tutorial series
-
Work through the tutorials and complete the exercises
Join a Study Group for Data Science Discussion
Show steps
Engage with other learners by joining a study group to discuss course topics, share insights, and collaborate on projects.
Show steps
-
Reach out to classmates or online communities to find or form a study group.
-
Set regular meeting times and a communication platform.
-
Prepare discussion topics based on course materials and assignments.
Follow a tutorial on Vertex AI
Show steps
Provide hands-on experience with Vertex AI, the end-to-end data science platform
Browse courses on
Vertex AI
Show steps
-
Find a tutorial on Vertex AI
-
Follow the tutorial step-by-step
-
Complete the tutorial and review the results
Solve data science coding challenges
Show steps
Deepen your understanding of data science algorithms and techniques by solving coding challenges.
Browse courses on
Data Science
Show steps
-
Find a platform or website that offers data science coding challenges
-
Choose challenges that align with the course topics
-
Solve the challenges and review your solutions
Join a data science study group
Show steps
Connect with other students and discuss course concepts and projects.
Browse courses on
Data Science
Show steps
-
Find or create a study group with fellow data science students
-
Meet regularly to discuss course materials, share insights, and work on projects
Build a Simple Data Pipeline with Dataflow
Show steps
Create a project that utilizes Dataflow for data processing to reinforce your understanding of its capabilities and practical applications.
Browse courses on
Data Pipeline
Show steps
-
Define a simple data transformation or processing task.
-
Set up a Dataflow pipeline using the Python SDK or Cloud Console.
-
Run the pipeline and monitor its progress.
Build a Dataflow pipeline
Show steps
Provide practical experience in building a data pipeline using Dataflow
Browse courses on
Dataflow
Show steps
-
Design the data pipeline
-
Code the data pipeline in Python
-
Deploy the data pipeline to Google Cloud
Build a data science project
Show steps
Apply your data science skills in a practical setting by building a project.
Browse courses on
Data Science
Show steps
-
Identify a problem or opportunity that you can address with data science
-
Gather and prepare the necessary data
-
Build and evaluate a data science model
-
Deploy and monitor your model
Write a Blog Post on Data Science Workflow in GCP
Show steps
Create a blog post that summarizes and elaborates on key concepts of data science workflow in GCP, reinforcing your understanding and allowing you to share knowledge with others.
Browse courses on
Data Science Workflow
Show steps
-
Choose a specific aspect of the data science workflow in GCP to focus on.
-
Conduct research and gather information from course materials and external sources.
-
Write a well-structured and engaging blog post that explains the topic.
-
Share and promote your blog post on relevant platforms.
Develop a data science presentation
Show steps
Enhance your communication and presentation skills by creating a data science presentation.
Browse courses on
Data Science
Show steps
-
Choose a data science topic to present on
-
Gather and analyze the necessary data
-
Create a presentation that effectively communicates your findings
-
Present your findings to an audience
Contribute to an open-source data science project
Show steps
Gain hands-on experience and connect with the data science community by contributing to an open-source project.
Browse courses on
Data Science
Show steps
-
Find an open-source data science project that aligns with your interests
-
Review the project's documentation and requirements
-
Identify a way to contribute to the project
-
Submit your contribution for review
Mentor junior data scientists
Show steps
Sharpen your data science skills and help others by mentoring junior data scientists.
Browse courses on
Data Science
Show steps
-
Offer your services as a mentor to junior data scientists
-
Meet regularly with your mentees to provide guidance and support
-
Share your knowledge and experience
-
Encourage your mentees to learn and grow
Review Cloud Platform Basics
Show steps
Review the fundamentals and core principles of Cloud Platform services to strengthen your foundation for this course.
Browse courses on
Cloud Platform
Show steps
Show steps
Show steps
- Read the GCP documentation on key concepts and services.
- Watch introductory videos and tutorials on GCP.
Compile a Glossary of Data Science Terms
Show steps
Create a comprehensive glossary of key data science and Cloud Platform terms to enhance your understanding and retention of course concepts.
Show steps
Show steps
Show steps
- Gather data science terms from course materials, online resources, and industry articles.
- Define each term concisely and clearly.
- Organize terms alphabetically or by topic.
- Review the glossary regularly as a reference.
Review data science fundamentals
Show steps
Get up to speed with data science concepts and techniques to prepare for the course.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Review concepts of probability and statistics
- Explore data science libraries and tools
14 other activities
Expand to see all activities and additional details
Show all 17 activities
Review Big Query concepts
Show steps
Help build a stronger knowledge base in data warehousing prior to starting the course
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Read articles on BigQuery basics
- Watch videos on BigQuery use cases
- Complete an online tutorial on BigQuery
Complete Quickstart Guides for GCP Services
Show steps
Follow official GCP quickstart guides to gain hands-on experience with key services and build familiarity with their functionality.
Show steps
Show steps
Show steps
- Choose a service you want to explore, such as BigQuery or Vertex AI.
- Follow the step-by-step instructions in the quickstart guide to set up and use the service.
- Test and experiment with different features and options.
Follow a data science tutorial series
Show steps
Solidify your understanding of data science concepts by following a structured tutorial.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a reputable data science tutorial series
- Work through the tutorials and complete the exercises
Join a Study Group for Data Science Discussion
Show steps
Engage with other learners by joining a study group to discuss course topics, share insights, and collaborate on projects.
Show steps
Show steps
Show steps
- Reach out to classmates or online communities to find or form a study group.
- Set regular meeting times and a communication platform.
- Prepare discussion topics based on course materials and assignments.
Follow a tutorial on Vertex AI
Show steps
Provide hands-on experience with Vertex AI, the end-to-end data science platform
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Find a tutorial on Vertex AI
- Follow the tutorial step-by-step
- Complete the tutorial and review the results
Solve data science coding challenges
Show steps
Deepen your understanding of data science algorithms and techniques by solving coding challenges.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find a platform or website that offers data science coding challenges
- Choose challenges that align with the course topics
- Solve the challenges and review your solutions
Join a data science study group
Show steps
Connect with other students and discuss course concepts and projects.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find or create a study group with fellow data science students
- Meet regularly to discuss course materials, share insights, and work on projects
Build a Simple Data Pipeline with Dataflow
Show steps
Create a project that utilizes Dataflow for data processing to reinforce your understanding of its capabilities and practical applications.
Browse courses on
Data Pipeline
Show steps
Show steps
Show steps
- Define a simple data transformation or processing task.
- Set up a Dataflow pipeline using the Python SDK or Cloud Console.
- Run the pipeline and monitor its progress.
Build a Dataflow pipeline
Show steps
Provide practical experience in building a data pipeline using Dataflow
Browse courses on
Dataflow
Show steps
Show steps
Show steps
- Design the data pipeline
- Code the data pipeline in Python
- Deploy the data pipeline to Google Cloud
Build a data science project
Show steps
Apply your data science skills in a practical setting by building a project.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a problem or opportunity that you can address with data science
- Gather and prepare the necessary data
- Build and evaluate a data science model
- Deploy and monitor your model
Write a Blog Post on Data Science Workflow in GCP
Show steps
Create a blog post that summarizes and elaborates on key concepts of data science workflow in GCP, reinforcing your understanding and allowing you to share knowledge with others.
Browse courses on
Data Science Workflow
Show steps
Show steps
Show steps
- Choose a specific aspect of the data science workflow in GCP to focus on.
- Conduct research and gather information from course materials and external sources.
- Write a well-structured and engaging blog post that explains the topic.
- Share and promote your blog post on relevant platforms.
Develop a data science presentation
Show steps
Enhance your communication and presentation skills by creating a data science presentation.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Choose a data science topic to present on
- Gather and analyze the necessary data
- Create a presentation that effectively communicates your findings
- Present your findings to an audience
Contribute to an open-source data science project
Show steps
Gain hands-on experience and connect with the data science community by contributing to an open-source project.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find an open-source data science project that aligns with your interests
- Review the project's documentation and requirements
- Identify a way to contribute to the project
- Submit your contribution for review
Mentor junior data scientists
Show steps
Sharpen your data science skills and help others by mentoring junior data scientists.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Offer your services as a mentor to junior data scientists
- Meet regularly with your mentees to provide guidance and support
- Share your knowledge and experience
- Encourage your mentees to learn and grow
Career center
Learners who complete Adopting a Data Science Workflow in Google Cloud Platform will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in data science and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve business problems. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in machine learning and learn how to use Google Cloud Platform tools to develop and deploy machine learning models. By taking this course, you'll gain the skills and knowledge needed to succeed as a Machine Learning Engineer.
Data Engineer
Data Engineer
Data Engineers design and build data pipelines to collect, clean, and store data. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in data engineering and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Data Engineer.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses understand their customers and make informed decisions. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in data analysis and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Data Analyst.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing environments. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in cloud computing and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Cloud Architect.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in business intelligence and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Business Intelligence Analyst.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and manage data warehouses. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in data warehousing and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Data Warehouse Architect.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help businesses communicate insights and make informed decisions. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in data visualization and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Data Visualization Specialist.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in database administration and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Database Administrator.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in software engineering and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Software Engineer.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in consulting and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Consultant.
Project Manager
Project Manager
Project Managers plan and execute projects. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in project management and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Project Manager.
Business Analyst
Business Analyst
Business Analysts analyze business needs and develop solutions to improve business processes. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in business analysis and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Business Analyst.
Teacher
Teacher
Teachers educate students in a variety of subjects. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in teaching and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Teacher.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses understand their customers and make informed decisions. This course, _Adopting a Data Science Workflow in Google Cloud Platform_, can help you build a foundation in statistics and learn how to use Google Cloud Platform tools to manage and analyze data. By taking this course, you'll gain the skills and knowledge needed to succeed as a Statistician.
For more career information including salaries, visit:
OpenCourser.com/course/ummsdb/adopting
Reading list
We've selected nine 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
Adopting a Data Science Workflow in Google Cloud Platform.
Provides a practical introduction to machine learning with Python. It covers fundamental concepts, algorithms, and techniques, and provides hands-on examples and exercises.
Introduces the foundational concepts of data science, including data manipulation, visualization, and machine learning, using Python.
Presents a probabilistic approach to machine learning, covering fundamental concepts, algorithms, and applications.
Keras popular deep learning library used with TensorFlow. would enhance your understanding of deep learning concepts and their implementation, complementing the course's coverage of machine learning.
Provides a theoretical foundation for machine learning, covering algorithms, optimization techniques, and practical applications.
For learners seeking a broader perspective on data science in a business context, this book would provide valuable insights. It would complement the course's focus on technical implementation by emphasizing the strategic aspects of data science.
Offers a solid foundation in machine learning algorithms, which are covered in the course. It would be particularly helpful for learners seeking a deeper understanding of the theoretical aspects of machine learning.
This accessible guide to data science would be helpful for learners who are new to the field or seeking a gentle introduction. It could provide a foundation for understanding the concepts covered in the course.
Save
For a more technical perspective on machine learning algorithms, this book provides a solid theoretical basis. It would be particularly beneficial for learners with a strong mathematical background.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ummsdb/adopting
Share
Similar courses
Here are nine courses similar to
Adopting a Data Science Workflow in Google Cloud Platform.
Cloud Data Engineering
OpenCourser.com/course/bi4ac5/cloud
Cloud Data Engineering
Most relevant
Introduction to Vertex Forecasting and Time Series in Practice
OpenCourser.com/course/a3e8gq/introduction
Introduction to Vertex Forecasting and Time Series in...
Most relevant
Introduction to Vertex Forecasting and Time Series in Practice
OpenCourser.com/course/iov5ws/vertex
Introduction to Vertex Forecasting and Time Series in...
Modernizing Data Lakes and Data Warehouses with GCP
OpenCourser.com/course/c2f2ok/modernizing
Modernizing Data Lakes and Data Warehouses with GCP
Google Certified Professional Data Engineer
OpenCourser.com/course/gt9zx4/google
Google Certified Professional Data Engineer
Google Certified Professional Cloud Architect
OpenCourser.com/course/5ycrti/google
Google Certified Professional Cloud Architect
Foundations of Data Science
OpenCourser.com/course/g29tp5/foundations
Foundations of Data Science
Workflow Orchestration with Google Cloud Composer
OpenCourser.com/course/dnnrd1/workflow
Workflow Orchestration with Google Cloud Composer
Architecting Event-driven Serverless Solutions Using Google Cloud Functions
OpenCourser.com/course/adp426/architecting
Architecting Event-driven Serverless Solutions Using...
Time
90 hours
Level
Advanced
Via
Pluralsight
Instructor
Victor Dantas
Language
English
Good to know
Teaches skills and knowledge that enable learners to adopt a comprehensive data science workflow on GCP
Covers multiple aspects of data science on GCP, from data discovery to model deployment
Leverages popular GCP services like BigQuery, Vertex AI, Dataflow, and Dataproc, making the learning highly relevant to industry practices
Taught by Victor Dantas, an experienced instructor in data science and cloud computing
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser