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Overview
Context
Are you concerned about inaccurate or suspicious records in your data, but not sure where to start? An anomaly detection algorithm could help! Anomaly detection is a collection of techniques designed to identify unusual data points, and are crucial for detecting fraud and for protecting computer networks from malicious activity.
In this Introduction to Anomaly Detection in R course offered by Data Camp, you'll apply anomaly detection algorithms to identify unusual wines in the UCI Wine quality dataset and also to detect cases of thyroid disease from abnormal hormone measurements.
Programme Structure
Chapters
- Statistical outlier detection
- Distance and density based anomaly detection
- Isolation forest
- Comparing performance
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course would be beneficial for data scientists, fraud investigators, cybersecurity experts, and anyone who works with data that includes anomalies or suspicious records.
- This course is suitable for beginners. You'll learn all the basics of anomaly detection and apply the algorithms to useful datasets. We recommend first taking the "Intermediate R" course.
PREREQUISITES
- Intermediate R
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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