This is the third course in the Google Data Analytics Certificate. As you continue to build on your understanding of the topics from the first two courses, you’ll be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives, and how to organize and protect your data. 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.
Prepare Data for Exploration
Prepare Data for Exploration
This course is part of Google Data Analytics Professional Certificate
Instructor: Google Career Certificates
Top Instructor
Sponsored by The University of Akron
865,197 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(21,128 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 24 hours
Learn at your own pace
97%
Most learners liked this course
What you'll learn
Explain what factors to consider when making decisions about data collection.
Discuss the difference between biased and unbiased data.
Describe databases with references to their functions and components.
Describe best practices for organizing data.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
24 quizzes, 5 assignments
Taught in English
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This course is part of the Google Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 5 modules in this course
A massive amount of data is generated every single day. In this part of the course, you will discover how this data is generated and how analysts decide which data to use for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking about how to prepare your data for analysis.
What's included
9 videos10 readings5 quizzes1 assignment2 plugins
Before you work with data, you must confirm that it is unbiased and credible. After all, if you start your analysis with unreliable data, you won’t be able to trust your results. In this part of the course, you will learn to identify bias in data and to ensure your data is credible. You’ll also explore open data and the importance of data ethics and data privacy.
What's included
12 videos4 readings4 quizzes2 assignments
When you analyze large datasets, you’ll access much of the data from a database. In this part of the course, you will learn about databases, including how to access them and extract, filter, and sort the data they contain. You’ll also explore metadata to discover its many facets and how analysts use it to better understand their data.
What's included
10 videos13 readings11 quizzes1 assignment
Good organizational skills are a big part of most types of work, especially data analytics. In this part of the course, you will learn best practices for organizing data and keeping it secure. You’ll also understand how analysts use file naming conventions to help them keep their work organized.
What's included
3 videos3 readings3 quizzes1 assignment1 plugin
Having a strong online presence can be a big help for job seekers of all kinds. In this part of the course, you will explore how to manage your online presence. You’ll also discover the benefits of networking with other data analytics professionals.
What's included
7 videos6 readings1 quiz
Instructor
Instructor ratings
4.8 (6,808 ratings)Offered by
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4.8
21,128 reviews
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Showing 3 of 21128
MG
5
Reviewed on Aug 8, 2023
I love how the course it's not limited to teach about the technical skills of a data analyst professional, but it also helps you discover some soft skills that make you a better human resource.
AC
5
Reviewed on Nov 22, 2022
Was an excellent way to start with a Data Analytics course without having a background.
BN
4
Reviewed on Mar 15, 2023
The material itself was very good however the videos for hands on work was sometimes inconsistent with what one found in the software (the user interface). At times this was a bit frustrating.
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