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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. 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/l85ljy/analyzing
What's inside
Syllabus
Analyzing Natality Data Using Vertex AI and BigQuery
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes data analysis using Google BigQuery and Cloud Datalab, which aligns with industry trends
Suitable for learners with an existing foundation in data analysis or scientific computing
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Save Analyzing Natality Data Using Vertex AI and BigQuery to your list so you can find it easily later:
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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 Analyzing Natality Data Using Vertex AI and BigQuery with these
activities:
Refine BigQuery skills
Show steps
Refresh and refine BigQuery skills to prepare for more advanced course materials
Browse courses on
BigQuery
Show steps
-
Review BigQuery fundamentals
-
Complete a practice tutorial
-
Create a sample query
Review data analysis concepts
Show steps
Review foundational data analysis principles to strengthen understanding of upcoming course materials
Show steps
-
Review statistical concepts
-
Refresh hypothesis testing methods
-
Recall data visualization techniques
Practice SQL queries
Show steps
Reinforce SQL query writing skills to enhance data analysis capabilities
Browse courses on
Data Manipulation
Show steps
-
Solve practice SQL problems
-
Utilize SQL query optimization techniques
-
Complete a SQL coding challenge
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore advanced BigQuery features
Show steps
Expand knowledge by exploring advanced BigQuery features for specialized data analysis tasks
Browse courses on
Data Warehousing
Show steps
-
Follow tutorials on BigQuery partitioning
-
Learn about BigQuery machine learning
-
Explore BigQuery data governance
Build a data visualization dashboard
Show steps
Apply data analysis skills to create a dashboard that effectively communicates insights
Browse courses on
Data Visualization
Show steps
-
Design the dashboard layout
-
Select appropriate visualizations
-
Integrate data sources
Write a blog post on BigQuery best practices
Show steps
Enhance understanding by sharing knowledge and solidifying concepts through writing
Browse courses on
Cloud Computing
Show steps
-
Research and gather information
-
Outline the post structure
-
Write and edit the content
Contribute to the BigQuery community
Show steps
Gain practical experience and deepen understanding by actively participating in the BigQuery community
Browse courses on
Open Source
Show steps
-
Identify an open source BigQuery project
-
Contribute to code or documentation
-
Attend community events
Mentor junior data analysts
Show steps
Reinforce understanding by sharing knowledge and guiding others in their data analysis journey
Browse courses on
Mentorship
Show steps
-
Connect with junior data analysts
-
Provide guidance and support
-
Share industry best practices
Refine BigQuery skills
Show steps
Refresh and refine BigQuery skills to prepare for more advanced course materials
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Review BigQuery fundamentals
- Complete a practice tutorial
- Create a sample query
Review data analysis concepts
Show steps
Review foundational data analysis principles to strengthen understanding of upcoming course materials
Show steps
Show steps
Show steps
- Review statistical concepts
- Refresh hypothesis testing methods
- Recall data visualization techniques
Practice SQL queries
Show steps
Reinforce SQL query writing skills to enhance data analysis capabilities
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Solve practice SQL problems
- Utilize SQL query optimization techniques
- Complete a SQL coding challenge
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore advanced BigQuery features
Show steps
Expand knowledge by exploring advanced BigQuery features for specialized data analysis tasks
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Follow tutorials on BigQuery partitioning
- Learn about BigQuery machine learning
- Explore BigQuery data governance
Build a data visualization dashboard
Show steps
Apply data analysis skills to create a dashboard that effectively communicates insights
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Design the dashboard layout
- Select appropriate visualizations
- Integrate data sources
Write a blog post on BigQuery best practices
Show steps
Enhance understanding by sharing knowledge and solidifying concepts through writing
Browse courses on
Cloud Computing
Show steps
Show steps
Show steps
- Research and gather information
- Outline the post structure
- Write and edit the content
Contribute to the BigQuery community
Show steps
Gain practical experience and deepen understanding by actively participating in the BigQuery community
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify an open source BigQuery project
- Contribute to code or documentation
- Attend community events
Mentor junior data analysts
Show steps
Reinforce understanding by sharing knowledge and guiding others in their data analysis journey
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Connect with junior data analysts
- Provide guidance and support
- Share industry best practices
Career center
Learners who complete Analyzing Natality Data Using Vertex AI and BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, analyze, interpret, and present data to help organizations make informed decisions. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Data Analysts who seek to develop their skills in using Vertex AI and BigQuery.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, implement, and maintain machine learning models to solve business problems. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Machine Learning Engineers who seek to develop their skills in using Google Cloud.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. Data Scientists can use Analyzing Natality Data Using Vertex AI and BigQuery to learn about data analysis and use the Google Cloud platform. This course may be useful for Data Scientists who seek to develop their skills in using Google Cloud.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Statisticians who seek to learn about Vertex AI and BigQuery.
Research Scientist
Research Scientist
Research Scientists conduct original research to advance knowledge and understanding in a particular field or discipline. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Research Scientists who seek to learn about Vertex AI and BigQuery.
Biostatistician
Biostatistician
Biostatisticians apply statistical methods to biological or medical data to design studies, analyze data, and interpret results. This course may be useful for Biostatisticians who seek to learn about data analysis and use the Google Cloud platform.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of health and disease in populations. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Epidemiologists who seek to learn about Vertex AI and BigQuery.
Health Data Analyst
Health Data Analyst
Health Data Analysts collect, analyze, interpret, and present data to help healthcare organizations make informed decisions. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Health Data Analysts who seek to learn about Vertex AI and BigQuery.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. In this lab learners analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab may be useful for Data Engineers who seek to develop their skills in using Vertex AI and BigQuery.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Software Engineers who seek to develop their skills in using Vertex AI and BigQuery.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Quantitative Analysts who seek to develop their skills in using Vertex AI and BigQuery.
Business Analyst
Business Analyst
Business Analysts use data and analysis to identify and solve business problems. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Business Analysts who seek to develop their skills in using Vertex AI and BigQuery.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to understand customer needs and preferences. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Market Researchers who seek to develop their skills in using Vertex AI and BigQuery.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts design and create visualizations to communicate data insights. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Data Visualization Analysts who seek to develop their skills in using Vertex AI and BigQuery.
Data Management Analyst
Data Management Analyst
Data Management Analysts plan and implement strategies for managing data, including data collection, storage, and security. Analyzing Natality Data Using Vertex AI and BigQuery is a self-paced lab that takes place in the Google Cloud console. This lab may be useful for Data Management Analysts who seek to develop their skills in using Vertex AI and BigQuery.
For more career information including salaries, visit:
OpenCourser.com/course/l85ljy/analyzing
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
Analyzing Natality Data Using Vertex AI and BigQuery.
Provides a comprehensive overview of data analysis with Pandas. It covers a wide range of topics, including data cleaning, data manipulation, and data visualization.
Provides a comprehensive overview of data visualization with Python and matplotlib. It covers a wide range of topics, including data visualization basics, advanced data visualization techniques, and interactive data visualization.
Save
Provides a comprehensive overview of data analysis with R. It covers a wide range of topics, including data cleaning, data manipulation, and data visualization.
Provides a comprehensive overview of ggplot2, a powerful data visualization library for R. It covers a wide range of topics, including ggplot2 basics, advanced ggplot2 techniques, and interactive ggplot2 graphics.
Provides a comprehensive overview of statistics. It covers a wide range of topics, including probability, inference, and regression.
Provides a comprehensive overview of probability. It covers a wide range of topics, including probability distributions, random variables, and statistical inference.
Provides a comprehensive overview of statistical inference. It covers a wide range of topics, including point estimation, interval estimation, and hypothesis testing.
Provides a comprehensive overview of regression analysis. It covers a wide range of topics, including simple linear regression, multiple linear regression, and logistic regression.
Save
Provides a comprehensive overview of time series analysis. It covers a wide range of topics, including time series forecasting, time series decomposition, and time series regression.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/l85ljy/analyzing
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Effort
30 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Emphasizes data analysis using Google BigQuery and Cloud Datalab, which aligns with industry trends
Suitable for learners with an existing foundation in data analysis or scientific computing
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