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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to query public tables and load sample data into BigQuery using the Web UI. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

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Syllabus

BigQuery: Qwik Start - Console

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores data techniques and tools for data processing, analytics, and learning from data, and building machine learning models

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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 BigQuery: Qwik Start - Console with these activities:
Review General Chemistry
Review General Chemistry concepts to strengthen your foundation and enhance your understanding of course materials.
Browse courses on General Chemistry
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  • Review notes and textbooks
  • Solve practice problems and review homework assignments
Practice lab techniques
Practice lab techniques to improve your skills and reinforce your understanding of course materials.
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  • Review lab safety protocols
  • Practice basic lab techniques, such as pipetting, measuring, and microscopy
  • Conduct simulated experiments and analyze results
Organize your notes, assignments, and quizzes
Organize your notes, assignments, and quizzes to improve your ability to review and retain information.
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  • Gather and sort your course materials
  • Create a system for organizing and filing
Five other activities
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Follow online tutorials on BigQuery
Follow online tutorials on BigQuery to supplement your learning and gain practical experience.
Browse courses on BigQuery
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  • Search for tutorials on BigQuery
  • Watch videos and follow along with the exercises
Create a data visualization
Create a data visualization to demonstrate your understanding of the course concepts and your ability to communicate data effectively.
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  • Choose a dataset and research the topic
  • Select appropriate visualization techniques
  • Design and create the data visualization
Join a study group or online forum
Join a study group or online forum to connect with fellow students, discuss course material, and foster collaboration.
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  • Research and identify relevant study groups or online forums
  • Reach out to members and introduce yourself
Complete practice exercises
Complete practice exercises to reinforce your understanding of the course concepts and improve your problem-solving skills.
Show steps
  • Review course material and identify areas for improvement
  • Solve practice exercises in the online platform
Write a summary of the course material
Write a summary of the course material to reinforce your learning and improve your ability to synthesize information.
Show steps
  • Review course notes and assignments
  • Identify key concepts and themes
  • Write a concise summary

Career center

Learners who complete BigQuery: Qwik Start - Console will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts help businesses make better decisions by collecting and analyzing data. They use their skills in statistics, programming, and data visualization to uncover trends and patterns that can be used to improve efficiency, increase sales, and reduce costs. This course can help you develop the skills needed to become a Data Analyst, including how to query large datasets, load and transform data, and create visualizations.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with data analysts and other data professionals to ensure that data is accessible, reliable, and secure. This course can help you develop the skills needed to become a Data Engineer, including how to use BigQuery to store and query large datasets, and how to use Cloud Dataflow to process data.
Data Scientist
Data Scientists use their skills in statistics, machine learning, and data analysis to solve business problems. They work with data to build models that can predict future outcomes, identify trends, and make recommendations. This course can help you develop the skills needed to become a Data Scientist, including how to use BigQuery to query large datasets, and how to use Cloud Machine Learning Engine to train and deploy machine learning models.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. They work with data to identify trends, develop strategies, and improve processes. This course can help you develop the skills needed to become a Business Analyst, including how to query large datasets, load and transform data, and create visualizations.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market that meet the needs of customers. This course can help you develop the skills needed to become a Product Manager, including how to query large datasets to understand customer behavior, and how to use data to make better decisions about product development.
Marketing Analyst
Marketing Analysts help businesses understand the effectiveness of their marketing campaigns. They work with data to track customer behavior, measure campaign performance, and make recommendations for improvement. This course can help you develop the skills needed to become a Marketing Analyst, including how to query large datasets to understand customer behavior, and how to use data to make better decisions about marketing campaigns.
Operations Analyst
Operations Analysts help businesses improve their efficiency and productivity. They work with data to identify bottlenecks, develop solutions, and implement improvements. This course can help you develop the skills needed to become an Operations Analyst, including how to query large datasets to understand business processes, and how to use data to make better decisions about operational improvements.
Risk Analyst
Risk Analysts help businesses identify and manage risks. They work with data to assess risks, develop mitigation strategies, and monitor risks. This course can help you develop the skills needed to become a Risk Analyst, including how to query large datasets to identify risks, and how to use data to make better decisions about risk management.
Financial Analyst
Financial Analysts help businesses make better financial decisions. They work with data to analyze financial performance, develop financial models, and make recommendations for improvement. This course can help you develop the skills needed to become a Financial Analyst, including how to query large datasets to understand financial performance, and how to use data to make better decisions about financial planning.
Healthcare Analyst
Healthcare Analysts help healthcare organizations improve the quality and efficiency of care. They work with data to identify trends, develop solutions, and implement improvements. This course can help you develop the skills needed to become a Healthcare Analyst, including how to query large datasets to understand healthcare data, and how to use data to make better decisions about healthcare delivery.
Government Analyst
Government Analysts help government agencies make better decisions. They work with data to identify trends, develop policies, and implement programs. This course can help you develop the skills needed to become a Government Analyst, including how to query large datasets to understand government data, and how to use data to make better decisions about government programs.
Nonprofit Analyst
Nonprofit Analysts help nonprofit organizations improve their effectiveness and impact. They work with data to identify trends, develop strategies, and measure results. This course can help you develop the skills needed to become a Nonprofit Analyst, including how to query large datasets to understand nonprofit data, and how to use data to make better decisions about nonprofit programs.
Academic Researcher
Academic Researchers use data to understand the world around us. They work with data to test hypotheses, develop theories, and publish findings. This course can help you develop the skills needed to become an Academic Researcher, including how to query large datasets to find patterns and relationships, and how to use data to support your research.
Data Journalist
Data Journalists use data to tell stories and inform the public. They work with data to find trends, develop narratives, and create visualizations. This course can help you develop the skills needed to become a Data Journalist, including how to query large datasets to find stories, and how to use data to create compelling visualizations.
Librarian
Librarians help people find and use information. They work with data to organize, catalog, and retrieve information. This course may be useful for Librarians who want to learn how to use BigQuery to store and query large datasets of information.

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 BigQuery: Qwik Start - Console.
Comprehensive reference for using BigQuery. It covers a wide range of topics, from basic concepts to advanced techniques. It good choice for anyone who wants to learn more about BigQuery and how to use it effectively.
Beginner's guide to using BigQuery. It covers the basics of BigQuery, including how to create a project, load data, and run queries. It good choice for anyone who wants to get started with BigQuery.

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