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Google Career Certificates

This is the fifth course in the Google Data Analytics Certificate. In this course, you’ll explore what it means to actually analyze your data. You’ll take what you’ve learned up to this point and apply it to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations with your data to address business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

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This is the fifth course in the Google Data Analytics Certificate. In this course, you’ll explore what it means to actually analyze your data. You’ll take what you’ve learned up to this point and apply it to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations with your data to address business objectives. You’ll learn how to use formulas, functions, and SQL queries as you conduct your analysis. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, learners will:

- Learn how to organize data for analysis.

- Understand the processes for formatting and adjusting data.

- Explore how to aggregate data in spreadsheets and by using SQL.

- Use formulas and functions in spreadsheets to make data calculations.

- Learn how to complete calculations using SQL queries.

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What's inside

Syllabus

Organize data for more effective analysis
Organizing data makes the data easier to use in your analysis. In this part of the course, you’ll learn the importance of organizing your data through sorting and filtering. You’ll explore these processes in both spreadsheets and SQL as you continue to prepare your data.
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Format and adjust data
As you move closer to analyzing your data, you’ll want to have it formatted and ready to go. In this part of the course, you’ll learn all about converting and formatting data, including how SQL queries can help you combine data. You’ll also find out the value of feedback and support from your colleagues and how it can lead to learnings that you can apply to your work.
Aggregate data for analysis
As part of your analysis, you’ll often have to combine data in order to gain insights and complete business objectives. In this part of the course, you’ll explore the functions, procedures, and syntax involved in combining, or aggregating, data. You’ll learn how to do this from multiple cells in spreadsheets and from multiple database tables using SQL queries.
Perform data calculations
Calculations are a common task for data analysts. In this part of the course, you’ll explore formulas, functions, and pivot tables in spreadsheets and queries in SQL, all of which will help with your calculations. You’ll also learn about the benefits of using SQL to manage temporary tables.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills and knowledge that are highly relevant to industry
Taught by Google Career Certificates, who are recognized for their work in data analytics
Develops core skills for data analysis
Provides instruction from current Google data analysts
Builds on prior learning in the Google Data Analytics Certificate
May require additional resources to complete calculations, such as a calculator or spreadsheet software

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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 Analyze Data to Answer Questions with these activities:
Organize course materials
Prepare for success by getting organized
Show steps
  • Gather all course materials, such as notes, slides, and assignments
  • Make copies of materials for studying
  • Create a system for organizing and tracking materials
Work practice problems on data analysis
Build a strong foundation in data analysis by practicing with problems
Browse courses on Data Analysis
Show steps
  • Find online or textbook practice problems
  • Solve as many problems as possible
  • Review your answers and learn from your mistakes
Review data analysis concepts through tutorials
Reinforce your understanding by going over concepts with tutorials
Browse courses on Data Analysis
Show steps
  • Find tutorials on data analysis topics
  • Watch or read the tutorials
  • Take notes on the key concepts
  • Practice applying the concepts
Four other activities
Expand to see all activities and additional details
Show all seven activities
Analyze a dataset as a project
Apply your skills to a real-world dataset to deepen your understanding
Browse courses on Data Analysis
Show steps
  • Choose a dataset
  • Explore the dataset and identify trends
  • Create visualizations to represent your findings
  • Write a report summarizing your analysis
Volunteer at a data-driven organization
Gain practical experience and contribute to a meaningful cause
Browse courses on Data Analysis
Show steps
  • Find a data-driven organization to volunteer with
  • Offer your skills and support
  • Learn from the organization's data analysis experts
Mentor junior data analysts
Enhance your understanding by teaching and guiding others
Browse courses on Data Analysis
Show steps
  • Find opportunities to mentor junior data analysts
  • Share your knowledge and expertise
  • Provide guidance and support
Contribute to open-source data analysis projects
Gain experience and refine skills by contributing to real-world projects
Browse courses on Data Analysis
Show steps
  • Find open-source data analysis projects
  • Identify ways to contribute
  • Make your contributions

Career center

Learners who complete Analyze Data to Answer Questions will develop knowledge and skills that may be useful to these careers:
Data Analyst
Analyze Data to Answer Questions teaches learners how to organize, format, and aggregate data from spreadsheets and SQL to help you look at and think about your data in different ways. Further, this course will help build a foundation for using formulas, functions, and SQL queries to conduct analysis. These are all skills that are required for a Data Analyst, who needs to be able to collect, clean, and interpret data to help businesses make better decisions.
Business Analyst
A Business Analyst helps businesses understand their data and how it can be used to improve their operations. To do this, Business Analysts need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Business Analyst.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of business operations. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become an Operations Research Analyst.
Statistician
Statisticians use data to make inferences about the world. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Statistician.
Data Scientist
Data Scientists use data to solve real-world problems. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Data Scientist.
Financial Analyst
Financial Analysts use data to make investment decisions. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Financial Analyst.
Market Researcher
Market Researchers use data to understand consumer behavior. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Market Researcher.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Machine Learning Engineer.
Database Administrator
Database Administrators maintain the databases that are used to store data. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Database Administrator.
Web Developer
Web Developers design and develop websites. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Web Developer.
Information Security Analyst
Information Security Analysts protect the data that is stored and processed by businesses. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become an Information Security Analyst.
Data Journalist
Data Journalists use data to tell stories. To do this, they need to be able to collect, clean, and interpret data. Analyze Data to Answer Questions teaches learners how to do all of these things, making it a great course for anyone who wants to become a Data Journalist.
Data Engineer
Data Engineers build and maintain the infrastructure that is used to store and process data. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Data Engineer.
Data Architect
Data Architects design and build the data infrastructure that is used by businesses. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Data Architect.
Software Engineer
Software Engineers design and develop software applications. To do this, they need to be able to understand the different types of data and how it can be used. Analyze Data to Answer Questions teaches learners about the different types of data and how it can be used, making it a great course for anyone who wants to become a Software Engineer.

Reading list

We've selected 11 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 Analyze Data to Answer Questions.
Provides a comprehensive overview of deep learning. It covers topics such as neural networks, convolutional neural networks, and recurrent neural networks.
Provides an overview of data science and its applications in business. It covers topics such as data mining, data analysis, and machine learning.
Provides a comprehensive overview of Python for data analysis. It covers topics such as data structures, data manipulation, and data visualization.
Provides a practical introduction to data mining. It covers topics such as data preprocessing, data clustering, and data visualization.
Provides a practical introduction to data analytics. It covers topics such as data collection, data cleaning, and data visualization.
Provides a framework for thinking like a data scientist. It covers topics such as problem solving, data visualization, and machine learning.

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