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Analyzing Natality Data Using Vertex AI and BigQuery
Google Cloud Training
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:
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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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Analyzing Natality Data Using Vertex AI and BigQuery.
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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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