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Google Cloud Training
This learning experience guides you through the process of utilizing various data sources and multiple Google Cloud products (including BigQuery and Google Sheets using Connected Sheets) to analyze, visualize, and interpret data to answer specific questions and share insights with key decision makers.
Register for this course and see more details by visiting:
OpenCourser.com/course/usm35o/analyzing
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What's inside
Syllabus
Using the BigQuery data connector
This module details how Google Sheets engages with data in BigQuery and how data analysts use these products together to answer data-related questions and share insights with stakeholders. At the end of the module, you also have the opportunity to complete an optional challenge lab to test your new skills!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Helps data analysts work with data using BigQuery and Google Sheets
Guides data analysts through using multiple Google Cloud products
Instructors are Google Cloud, which is a highly regarded provider of cloud-based solutions
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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 and Visualizing Data the Google Way with these
activities:
Review basic statistics and probability
Show steps
This will refresh your memory on the basic concepts of statistics and probability, which are essential for understanding the material in this course.
Browse courses on
Statistics
Show steps
-
Review your notes from a previous statistics course.
-
Take a practice quiz on basic statistics and probability.
Watch tutorials on how to use Google Sheets
Show steps
This will teach you how to use Google Sheets, which is a valuable tool for data analysis and visualization.
Browse courses on
Google Sheets
Show steps
-
Find a tutorial on how to use Google Sheets.
-
Follow the steps in the tutorial to learn how to perform basic tasks in Google Sheets.
Create a cheat sheet of SQL commands
Show steps
This will give you a quick and easy reference for SQL commands.
Browse courses on
SQL
Show steps
-
Find a list of SQL commands.
-
Create a cheat sheet that includes the commands and their descriptions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice using SQL to query data
Show steps
This will give you practice using SQL to query data, which is a fundamental skill for data analysts.
Browse courses on
SQL
Show steps
-
Find a dataset that you can use to practice.
-
Write a series of SQL queries to extract different types of information from the dataset.
-
Check your results to make sure they are correct.
Join a study group for this course
Show steps
This will give you an opportunity to learn from and collaborate with other students.
Show steps
-
Find a study group for this course.
-
Attend the study group meetings and participate in the discussions.
Attend a workshop on data analysis
Show steps
This will give you an opportunity to learn from experts in the field and network with other data analysts.
Browse courses on
Data Analysis
Show steps
-
Find a workshop on data analysis.
-
Register for the workshop.
-
Attend the workshop and participate in the activities.
Create a data visualization dashboard
Show steps
This will give you practice creating data visualizations, which is an important skill for data analysts.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset that you want to visualize.
-
Select a data visualization tool.
-
Create a data visualization dashboard that tells a story about the data.
Build a data analysis pipeline
Show steps
This will give you practice building a complete data analysis pipeline, from data collection to visualization.
Browse courses on
Data Analysis
Show steps
-
Choose a dataset that you want to analyze.
-
Collect the data.
-
Clean and prepare the data.
-
Analyze the data.
-
Visualize the data.
Review basic statistics and probability
Show steps
This will refresh your memory on the basic concepts of statistics and probability, which are essential for understanding the material in this course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from a previous statistics course.
- Take a practice quiz on basic statistics and probability.
Watch tutorials on how to use Google Sheets
Show steps
This will teach you how to use Google Sheets, which is a valuable tool for data analysis and visualization.
Browse courses on
Google Sheets
Show steps
Show steps
Show steps
- Find a tutorial on how to use Google Sheets.
- Follow the steps in the tutorial to learn how to perform basic tasks in Google Sheets.
Create a cheat sheet of SQL commands
Show steps
This will give you a quick and easy reference for SQL commands.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a list of SQL commands.
- Create a cheat sheet that includes the commands and their descriptions.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice using SQL to query data
Show steps
This will give you practice using SQL to query data, which is a fundamental skill for data analysts.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a dataset that you can use to practice.
- Write a series of SQL queries to extract different types of information from the dataset.
- Check your results to make sure they are correct.
Join a study group for this course
Show steps
This will give you an opportunity to learn from and collaborate with other students.
Show steps
Show steps
Show steps
- Find a study group for this course.
- Attend the study group meetings and participate in the discussions.
Attend a workshop on data analysis
Show steps
This will give you an opportunity to learn from experts in the field and network with other data analysts.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a workshop on data analysis.
- Register for the workshop.
- Attend the workshop and participate in the activities.
Create a data visualization dashboard
Show steps
This will give you practice creating data visualizations, which is an important skill for data analysts.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that you want to visualize.
- Select a data visualization tool.
- Create a data visualization dashboard that tells a story about the data.
Build a data analysis pipeline
Show steps
This will give you practice building a complete data analysis pipeline, from data collection to visualization.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a dataset that you want to analyze.
- Collect the data.
- Clean and prepare the data.
- Analyze the data.
- Visualize the data.
Career center
Learners who complete Analyzing and Visualizing Data the Google Way will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course provides a strong foundation in data analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data analysis.
Data Scientist
Data Scientist
Data Scientists use statistical and machine learning techniques to build predictive models and solve business problems. They work closely with data analysts to identify the most important data to collect and how to interpret the results of the analysis. This course provides a solid foundation in data science techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data science.
Business Analyst
Business Analyst
Business Analysts help businesses understand their data and make better decisions. They work with stakeholders to identify business problems, collect data, and develop solutions. This course provides a strong foundation in business analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of business analysis.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about consumer behavior and market trends. They use this information to help businesses make decisions about product development, marketing, and pricing. This course provides a strong foundation in market research techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of market research.
Financial Analyst
Financial Analyst
Financial Analysts use data to assess the financial health of companies and make investment recommendations. They work with companies to develop financial models and analyze financial data. This course provides a strong foundation in financial analysis techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of financial analysis.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and statistical techniques to solve business problems. They work with businesses to improve efficiency, productivity, and decision-making. This course provides a strong foundation in operations research techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of operations research.
Management Consultant
Management Consultant
Management Consultants help businesses improve their performance. They work with clients to identify problems, develop solutions, and implement change. This course provides a strong foundation in management consulting techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of management consulting.
Product Manager
Product Manager
Product Managers are responsible for developing and managing products. They work with engineers, designers, and marketers to bring new products to market. This course provides a strong foundation in product management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of product management.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They work with creative teams to develop marketing materials and with sales teams to drive sales. This course provides a strong foundation in marketing management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of marketing management.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and managing sales teams. They work with sales representatives to develop sales strategies and close deals. This course provides a strong foundation in sales management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of sales management.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with a company's products and services. They work with customers to identify problems and resolve issues. This course provides a strong foundation in customer success management techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of customer success management.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining the infrastructure that supports data analysis and data science. They work with data analysts and data scientists to ensure that data is accessible, reliable, and secure. This course may provide a helpful foundation in data engineering techniques, but it is important to note that data engineering requires specialized knowledge and skills that are not covered in this course.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with product managers, designers, and other engineers to bring new products to market. This course may provide a helpful foundation in software engineering techniques, but it is important to note that software engineering requires specialized knowledge and skills that are not covered in this course.
Web Developer
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. They work with designers, content writers, and other developers to create websites that are user-friendly and effective. This course may provide a helpful foundation in web development techniques, but it is important to note that web development requires specialized knowledge and skills that are not covered in this course.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data. They work with data analysts and data scientists to communicate insights and trends to stakeholders. This course provides a strong foundation in data visualization techniques, including how to use Google Cloud products like BigQuery and Google Sheets. By taking this course, you will be well-prepared to enter the field of data visualization.
For more career information including salaries, visit:
OpenCourser.com/course/usm35o/analyzing
Reading list
We've selected six 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 and Visualizing Data the Google Way.
Save
Offers a comprehensive overview of data science, including data collection, analysis, and visualization. Focuses on the practical aspects of data science.
Provides a comprehensive introduction to data science, including data collection, analysis, and visualization. Focuses on the theoretical foundations of data science.
Provides a practical guide to data science for business applications. Suitable for learners interested in using data science to solve business problems.
Suitable for learners with programming experience looking to apply Python to data analysis. Provides a solid foundation in Python for data-related tasks.
Provides an accessible introduction to Bayesian statistics. Suitable for learners with a basic understanding of statistics.
Provides a basic introduction to data analytics. Suitable for learners with no prior knowledge of the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/usm35o/analyzing
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Effort
3 weeks of study, 6-8 hours/week
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Helps data analysts work with data using BigQuery and Google Sheets
Guides data analysts through using multiple Google Cloud products
Instructors are Google Cloud, which is a highly regarded provider of cloud-based solutions
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