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Introduction to Data Analytics on Google Cloud
Google Cloud
Google Cloud
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services.
Read more
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services.
Read more
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services.
This introductory course explores the basics of data analysis, including collection, storage, exploration, visualization, and sharing. This course also introduces Google Cloud's data analytics tools and services. Through video lectures, demos, quizzes, and hands-on labs, this course demonstrates how to go from raw data to impactful visualizations and dashboards. Whether you already work with data and want to learn how to be successful on Google Cloud, or you’re looking to progress in your career, this course will help you get started.
Register for this course and see more details by visiting:
OpenCourser.com/course/ttn6j9/introduction
What's inside
Syllabus
Course Introduction
Understand the Data Analytics Lifecycle on Google Cloud
Explore Data and Extract Insights by Using BigQuery
Make Data-driven Decisions by Using Looker
Read more
Syllabus
Course Introduction
Understand the Data Analytics Lifecycle on Google Cloud
Explore Data and Extract Insights by Using BigQuery
Make Data-driven Decisions by Using Looker
Read more
Course Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Cements skills in BigQuery, Looker, and Google Cloud
Teaches data analysis skills and the data analytics lifecycle
Provides a foundation for using Google Cloud's analytics tools including Google Cloud's BigQuery and Looker
Covers data collection, storage, exploration, visualization, and reporting
Taught by Google Cloud staff with expertise in data analytics tools including BigQuery and Looker
May require software that learners do not possess
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Activities
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Introduction to Data Analytics on Google Cloud.
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Career center
Learners who complete Introduction to Data Analytics on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use data analysis and modeling techniques to analyze data that can help organizations make informed business decisions. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for a Data Analyst to have. Through video lectures, demos, quizzes, and hands-on labs, this course provides a great foundation for a future Data Analyst.
Data Scientist
Data Scientist
Data Scientists analyze and interpret large amounts of data, and then make predictions or recommendations based on their findings. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are the essential skills for Data Scientists. This course also introduces Google Cloud's data analytics tools and services that Data Scientists should be familiar with.
Business Analyst
Business Analyst
Business Analysts use data analysis and modeling techniques to analyze data that can help organizations make informed business decisions. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all essential skills for Business Analysts to have. Through video lectures, demos, quizzes, and hands-on labs, this course provides a great foundation for a future Business Analyst.
Data Engineer
Data Engineer
Data Engineers develop and maintain data infrastructure, which includes designing, building, and testing data pipelines and data warehouses. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. Having some knowledge of these concepts is helpful for Data Engineers to have, but may not be essential.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models, which can be used to make predictions or recommendations based on data. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. While Machine Learning Engineers need to be able to perform these skills, they may not be as central to the role as they are for other Data Science roles.
Software Engineer
Software Engineer
Software Engineers analyze user needs, design, develop, test, and maintain software systems. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. Data analysis skills are becoming increasingly important for Software Engineers, and this course would be a helpful introduction if this is a career someone wanted to pursue.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data, and make predictions based on their analysis. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are the essential functions of a Statistician, and this course provides a great foundation for a future career in this field.
Market Researcher
Market Researcher
Market Researchers collect, analyze, and interpret data about consumer behavior and market trends. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Market Researchers to have. This course would be a great introduction to the field.
Financial Analyst
Financial Analyst
Financial Analysts use data analysis and modeling techniques to analyze financial data and make investment recommendations. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all essential skills for Financial Analysts to have. This course would be a helpful introduction to the field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data analysis and modeling techniques to improve the efficiency of business operations. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Operations Research Analysts to have. This course could be a great introduction to the field.
Actuary
Actuary
Actuaries use data analysis and modeling techniques to assess risk and uncertainty, and to develop financial plans. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Actuaries to have. This course could be a great introduction to the field.
Economist
Economist
Economists use data analysis and modeling techniques to study economic issues, such as inflation, unemployment, and economic growth. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Economists to have. This course could be a great introduction to the field.
Epidemiologist
Epidemiologist
Epidemiologists use data analysis and modeling techniques to study the distribution and determinants of disease. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Epidemiologists to have. This course could be a great introduction to the field.
Biostatistician
Biostatistician
Biostatisticians use data analysis and modeling techniques to design and analyze studies, and to interpret and communicate the results. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. These are all important skills for Biostatisticians to have. This course could be a great introduction to the field.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data, such as charts, graphs, and maps. This introductory course explores the basics of data analysis, collection, storage, exploration, visualization, and sharing. While this course focuses on data visualization, it also covers the other essential steps in the data analysis process, which would be helpful for a Data Visualization Specialist.
For more career information including salaries, visit:
OpenCourser.com/course/ttn6j9/introduction
Reading list
We've selected five 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
Introduction to Data Analytics on Google Cloud.
Save
Covers data analytics in action. It provides real-world examples of how data analytics is used to solve business problems.
Covers data analysis with Hadoop. It covers all the basics, and it does so in a way that is easy to understand.
A strategic approach to data science for business, providing a clear and concise overview of the key concepts and techniques of data science.
Save
A comprehensive guide to big data principles and best practices, providing a deep dive into the key concepts and techniques of big data systems.
A guide to machine learning in Python, covering the basics of machine learning, including how to use Python libraries for machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ttn6j9/introduction
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Time
53 hours
Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Cements skills in BigQuery, Looker, and Google Cloud
Teaches data analysis skills and the data analytics lifecycle
Provides a foundation for using Google Cloud's analytics tools including Google Cloud's BigQuery and Looker
Covers data collection, storage, exploration, visualization, and reporting
Taught by Google Cloud staff with expertise in data analytics tools including BigQuery and Looker
May require software that learners do not possess
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