Do you need to take each course in course order?

We highly recommend taking the courses in the order presented, as the content builds on information from earlier courses. This is the sixth course in a series of nine courses that make up the Google Data-Driven Decision Making Specialization.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, 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.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

The Importance of Integrity

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

The Importance of Integrity

This course is part of Google Data-Driven Decision Making Specialization

Instructor: Google Career Certificates

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Define different types of data integrity and identify risks to data integrity.
Describe the benefits of documenting the data cleaning process.
Describe strategies that can be used to address insufficient data.
Describe the benefits of documenting the data cleaning process

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Google Data-Driven Decision Making Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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

There are 4 modules in this course

Data integrity is critical to successful analysis. In this course, you’ll explore methods and steps that analysts take to check their data for integrity. This includes knowing what to do when you don’t have enough data. You’ll also learn about sample size and understand how to avoid sampling bias. All of these methods will help you ensure your analysis is successful.

Data integrity is critical to successful analysis. In this module, you’ll explore methods and steps that analysts take to check their data for integrity.

What's included

2 videos3 readings1 assignment

2 videos Total 6 minutes

Why data integrity is important 3 minutes
Balance objectives with data integrity 3 minutes

3 readings Total 17 minutes

Welcome to “The Importance of Integrity” 1 minute
More about data integrity and compliance 8 minutes
Well-aligned objectives and data 8 minutes

1 assignment Total 8 minutes

Test your knowledge on data integrity and analytics objectives 8 minutes

In this module, you will learn about the importance of sample size and how to deal with insufficient data. You’ll also learn about pre-cleaning activities that must be performed before running data analysis.

What's included

2 videos2 readings2 assignments

This module explores strategies to test the data and determine the best representative sample size.

What's included

2 videos2 readings1 assignment

This module explores evaluating data reliability and introduces the concept of margin of error.

What's included

1 video1 reading2 assignments

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Career Certificates

Google

386 Courses 15,967,404 learners

Offered by

Google

Explore more from Data Analysis

Harvard Business Review
Lead with Integrity
Course
Johns Hopkins University
Getting and Cleaning Data
Course
Google
Data Responsibility
Course
Google
Clean Your Data
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

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.

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

You don't need to be a math all-star to succeed in this 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 about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.