Showcase

Detecting Outliers

Let’s create your free account

GoogleGoogleMicrosoftMicrosoftLinkedInLinkedIn

OR

visibility

By continuing, you accept our Enterprise DNA Terms & Conditions , our Privacy & Cookie Policy and that your data is stored.

If you have an account Login here

Identifying outliers or anomalies within a dataset is a critical step in data analysis. By detecting these unusual data points, businesses and organizations can gain insights into potential errors, data quality issues, or significant events. To showcase these anomalies over time, it is important to track trends and changes within the dataset.


By analyzing the trends and changes associated with the anomalies, businesses and organizations can gain insights into potential causes and take proactive measures to prevent similar events in the future. This approach can also help to identify potential opportunities or risks associated with the outliers, allowing for more informed decision-making.

Detecting Outliers Cover
What our Students Say
Latest Showcases

Loading

Frequently Asked

Questions
add

What’s the difference between a free account and a paid plan?

add

Do I need to know anything about data science or data analytics to get started with Enterprise DNA?

add

How will I be charged?

add

Can I get an invoice for my company?

add

Are refunds available?

add

Will AI take over the world and make data skills worthless?

Get full access to unparalleled

training & skill-building resources
power-bi-custom-visuals

FOR INDIVIDUALS

Enterprise DNA

For Individuals

Empowering the most valuable data analysts to expand their analytical thinking and insight generation possibilities.

Learn More chevron_right

FOR BUSINESS

Enterprise DNA

For Business

Training, tools, and guidance to unify and upskill the data analysts in your workplace.

Learn More chevron_right
power-bi-custom-visuals