Google

Prepare Data for Exploration

Google Career Certificates

Top Instructor

Sponsored by Google People Development

862,374 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(21,088 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 24 hours
Learn at your own pace
97%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(21,088 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

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

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
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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

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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 (6,794 ratings)
Google Career Certificates

Top Instructor

Google
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4.8

21,088 reviews

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Recommended if you're interested in Data Science

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