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Il y a 4 modules dans ce cours
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.
By the end of this course, learners will:
- Define data integrity with reference to types and risks.
- Check for data integrity.
- Identify common pitfalls when cleaning data.
- Describe the benefits of documenting the data cleaning process.
- Describe strategies that can be used to address insufficient data.
- Verify the results of cleaning data.
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.
Inclus
2 vidéos3 lectures1 devoir
Afficher les informations sur le contenu du module
2 vidéos•Total 6 minutes
Why data integrity is important•3 minutes
Balance objectives with data integrity•3 minutes
3 lectures•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 devoir•Total 8 minutes
Test your knowledge on data integrity and analytics objectives•8 minutes
Overcome the challenges of insufficient data
Module 2•1 heure à terminer
Détails du module
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.
Inclus
2 vidéos2 lectures2 devoirs
Afficher les informations sur le contenu du module
Test your knowledge on insufficient data•8 minutes
Test your data
Module 3•1 heure à terminer
Détails du module
This module explores strategies to test the data and determine the best representative sample size.
Inclus
2 vidéos2 lectures1 devoir
Afficher les informations sur le contenu du module
2 vidéos•Total 10 minutes
Using statistical power•5 minutes
Determine the best sample size •5 minutes
2 lectures•Total 16 minutes
When data isn't readily available•8 minutes
Sample size calculator•8 minutes
1 devoir•Total 8 minutes
Test your knowledge on testing your data•8 minutes
Consider the margin of error
Module 4•1 heure à terminer
Détails du module
This module explores evaluating data reliability and introduces the concept of margin of error.
Inclus
1 vidéo1 lecture2 devoirs
Afficher les informations sur le contenu du module
1 vidéo•Total 6 minutes
Evaluate data reliability•6 minutes
1 lecture•Total 8 minutes
All about margin of error•8 minutes
2 devoirs•Total 48 minutes
Test your knowledge on margin of error•8 minutes
Course 6 challenge: The importance of integrity•40 minutes
Obtenez un certificat professionnel
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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.
What background is required?
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.
Do you need to be strong at math to succeed in this certificate?
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.
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.
When will I have access to the lectures and assignments?
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.
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.