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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Analyze Data to Answer Questions
This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
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What you'll learn
Discuss the importance of organizing your data before analysis by using sorts and filters.
Convert and format data.
Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.
Describe the use of functions to conduct basic calculations on data in spreadsheets.
Skills you'll gain
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There are 4 modules in this course
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.
What's included
9 videos13 readings6 quizzes1 plugin
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.
What's included
10 videos9 readings5 quizzes1 plugin
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.
What's included
8 videos10 readings9 quizzes1 plugin
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.
What's included
13 videos13 readings10 quizzes1 plugin
Instructor
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Recommended if you're interested in Data Analysis
University of California, Davis
University of California, Davis
American Psychological Association
University of Colorado Boulder
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Frequently asked questions
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.