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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. Get started with sports data science by importing soccer data on matches, teams, players, and match events into BigQuery tables.
Information access uses multiple formats, and BigQuery makes working with multiple data sources simple. In this lab you will get started with sports data science by importing external sports data sources into BigQuery tables. This will give you the basis for building more sophisticated analytics in subsequent labs.
Register for this course and see more details by visiting:
OpenCourser.com/course/5i5onb/bigquery
What's inside
Syllabus
BigQuery Soccer Data Ingestion
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Begins with foundational skills that are core to data science and moves to more sophisticated analytics
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Develops skills for importing external sports data sources into BigQuery tables, which is highly relevant for sports data science
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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 Soccer Data Ingestion with these
activities:
Review SQL Basics
Show steps
Review SQL to enhance understanding of data querying.
Browse courses on
SQL
Show steps
-
Read an SQL tutorial
-
Take a practice quiz
Organize Course Materials
Show steps
Organize course materials to enhance comprehension and retention.
Browse courses on
Study Skills
Show steps
-
Gather all course materials
-
Create a structured filing system
Import Data into BigQuery
Show steps
Develop a stronger foundational understanding of how to import data from external sources into BigQuery.
Browse courses on
BigQuery
Show steps
-
Gather data sources
-
Create BigQuery project
-
Create BigQuery dataset and table
-
Configure data source
-
Import data into BigQuery
Five other activities
Expand to see all activities and additional details
Show all eight activities
Tutorial: Ingesting Data into BigQuery
Show steps
Follow tutorials to develop skills for ingesting data into BigQuery.
Browse courses on
BigQuery
Show steps
-
Find a tutorial on BigQuery data ingestion
-
Complete the tutorial
-
Take notes on the process
Practice Data Ingestion in BigQuery
Show steps
Complete repetitive exercises to improve skills in importing data into BigQuery.
Browse courses on
BigQuery
Show steps
-
Review the documentation
-
Complete the exercises
-
Test your knowledge
Tools and Resources for BigQuery
Show steps
Gather and organize tools and resources to facilitate learning.
Browse courses on
BigQuery
Show steps
-
Research available tools
-
Create a list of useful resources
-
Share the compilation with others
Discuss BigQuery Best Practices
Show steps
Connect with peers to learn about best practices and gain new perspectives.
Browse courses on
BigQuery
Show steps
-
Schedule a meeting with peers
-
Discuss BigQuery best practices
-
Share tips and tricks
Mentor Junior Data Analysts
Show steps
Provide guidance and support to junior data analysts to deepen understanding of BigQuery.
Browse courses on
Mentoring
Show steps
-
Identify potential mentees
-
Establish mentoring goals
-
Provide support and guidance
Review SQL Basics
Show steps
Review SQL to enhance understanding of data querying.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Read an SQL tutorial
- Take a practice quiz
Organize Course Materials
Show steps
Organize course materials to enhance comprehension and retention.
Browse courses on
Study Skills
Show steps
Show steps
Show steps
- Gather all course materials
- Create a structured filing system
Import Data into BigQuery
Show steps
Develop a stronger foundational understanding of how to import data from external sources into BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Gather data sources
- Create BigQuery project
- Create BigQuery dataset and table
- Configure data source
- Import data into BigQuery
Five other activities
Expand to see all activities and additional details
Show all eight activities
Tutorial: Ingesting Data into BigQuery
Show steps
Follow tutorials to develop skills for ingesting data into BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Find a tutorial on BigQuery data ingestion
- Complete the tutorial
- Take notes on the process
Practice Data Ingestion in BigQuery
Show steps
Complete repetitive exercises to improve skills in importing data into BigQuery.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Review the documentation
- Complete the exercises
- Test your knowledge
Tools and Resources for BigQuery
Show steps
Gather and organize tools and resources to facilitate learning.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Research available tools
- Create a list of useful resources
- Share the compilation with others
Discuss BigQuery Best Practices
Show steps
Connect with peers to learn about best practices and gain new perspectives.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Schedule a meeting with peers
- Discuss BigQuery best practices
- Share tips and tricks
Mentor Junior Data Analysts
Show steps
Provide guidance and support to junior data analysts to deepen understanding of BigQuery.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify potential mentees
- Establish mentoring goals
- Provide support and guidance
Career center
Learners who complete BigQuery Soccer Data Ingestion will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to find patterns and trends. They use their findings to make recommendations to businesses on how to improve their operations. This course can help you build a foundation in data analysis by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the systems that store and process data. They work with data analysts and other stakeholders to ensure that data is available and accessible for analysis. This course can help you build a foundation in data engineering by teaching you how to create and manage BigQuery tables. You will also learn how to use SQL to query data and create visualizations.
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future outcomes. They work with data analysts and other stakeholders to identify the most important questions to ask of the data. This course can help you build a foundation in data science by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. They work with stakeholders to identify the most important business questions and then use data to find answers to those questions. This course can help you build a foundation in business analysis by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. This course can help you build a foundation in product management by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to measure the effectiveness of marketing campaigns. They work with marketers to identify the most effective ways to reach target audiences. This course can help you build a foundation in marketing analysis by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Financial Analyst
Financial Analyst
Financial Analysts use data to evaluate the financial performance of companies. They work with investors and other stakeholders to make recommendations on investment decisions. This course can help you build a foundation in financial analysis by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. They work with managers and other stakeholders to identify and solve problems. This course can help you build a foundation in operations research by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with users and other stakeholders to understand the requirements of the application and then build the application to meet those requirements. This course can help you build a foundation in software engineering by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They work with database users and other stakeholders to ensure that the database is available and accessible. This course can help you build a foundation in database administration by teaching you how to create and manage BigQuery tables. You will also learn how to use SQL to query data and create visualizations.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. They work with users and other stakeholders to understand the requirements of the system and then design and implement the system to meet those requirements. This course can help you build a foundation in systems analysis by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. They work with engineers and other stakeholders to understand the product and then create documentation that is clear and easy to follow. This course can help you build a foundation in technical writing by teaching you how to write clear and concise documentation. You will also learn how to use SQL to query data and create visualizations.
User Experience Designer
User Experience Designer
User Experience Designers design the user interface for websites and other digital products. They work with users and other stakeholders to understand the user's needs and then design the interface to be user-friendly. This course can help you build a foundation in user experience design by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software and other products to ensure that they meet the requirements. They work with engineers and other stakeholders to identify and fix defects. This course can help you build a foundation in quality assurance by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
Project Manager
Project Manager
Project Managers plan and execute projects. They work with stakeholders to define the scope of the project, develop the project plan, and manage the project through to completion. This course may be useful in helping you build a foundation in project management by teaching you how to import and query data in BigQuery. You will also learn how to use SQL to analyze data and create visualizations.
For more career information including salaries, visit:
OpenCourser.com/course/5i5onb/bigquery
Reading list
We've selected seven 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 Soccer Data Ingestion.
Save
Comprehensive guide to R for data science. It covers topics such as data wrangling, data analysis, and data visualization.
Comprehensive guide to Python for data analysis. It covers topics such as data wrangling, data analysis, and data visualization.
Comprehensive introduction to machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and model evaluation.
Practical guide to deep learning using Python. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Practical guide to data wrangling using Python. It covers topics such as data cleaning, transformation, and merging.
Save
Practical guide to data mining using R. It covers topics such as data preprocessing, feature selection, and model evaluation.
Provides a solid foundation in data visualization principles and techniques. It covers topics such as visual perception, chart types, and data storytelling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5i5onb/bigquery
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Effort
45 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Begins with foundational skills that are core to data science and moves to more sophisticated analytics
Taught by Google Cloud Training, who are recognized for their work in cloud computing
Develops skills for importing external sports data sources into BigQuery tables, which is highly relevant for sports data science
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