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This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
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No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
(110,171 reviews)
Recommended experience
Beginner level
No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
Describe the role of a data analyst with specific reference to jobs.
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This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using 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: - Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search.
Data helps us make decisions in both everyday life and in business. In this part of the course, you’ll learn how data analysts use a variety of tools and skills to inform those decisions. You’ll also get to know more about this course and the overall program expectations.
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In this part of the course, you'll learn about the data life cycle and data analysis process. They are both relevant to your work in this program and on the job. You’ll also be introduced to applications that help guide data through the data analysis process.
5 videos5 readings1 quiz4 assignments1 plugin
Spreadsheets, query languages, and data visualization tools are all a big part of a data analyst’s job. In this part of the course, you’ll learn the basic concepts to use them for data analysis. You’ll also understand how they work through interesting examples.
6 videos6 readings3 quizzes1 assignment
In this part of the course, you’ll examine different types of businesses and the jobs and tasks that analysts do for them. You’ll also learn how a Google Data Analytics Certificate will help you meet many of the requirements for an analyst position with these organizations.
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Grow with Google is an initiative that draws on Google's decades-long history of building products, platforms, and services that help people and businesses grow. We aim to help everyone – those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.
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Reviewed on Oct 31, 2022
This course is simple and easy to understand. It provides the base for upcoming courses and tracks for the Data Analytics world. Concept understanding was amazing!! Thank you. Keep up the great work.
Reviewed on Mar 5, 2022
This course has given me alot of insight and new skills to feel empowered to change my career field. I feel like I am learning in a effective manner and really apperciate how this course is laid out.
Reviewed on Jun 30, 2022
I found this course to be very user friendly. I was at well I was able to follow along. I did have doubts in myself when starting, but the instructor kept me engaged and eager to learn more. Thank you
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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.
No prior experience with spreadsheets or data analytics required. All you need is high school level math and curiosity about how things work.
You don't need to be a math all-star to succeed in the certificate. You need to be curious, and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's like about asking the right questions, finding the best sources to answer your question effectively and illustrating your findings clearly in visualizations.
Learners can self-select which platform they want to use throughout the program, Google Sheets or Microsoft Excel. It’s entirely up to the learner’s preference, and all activities throughout the syllabus can be performed on either platform.
You'll learn to use analysis tools and platforms such as spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.
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.
This program teaches the open-source programming language, R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage you to explore Python after completion if you'd like to continue your learning journey.
We highly recommend completing the courses in the order presented because the content in each course builds on information from earlier lessons.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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