Brochure
Enquire- Introduction to Outlier Detection
- Mean, Median and Variance
Outlier Detection Algorithms in Data Mining and Data Science
BY
Udemy
Learn about outlier detection in data mining, data science, machine learning, data analysis along with statistics with ...Read more
Online
₹ 449 1499
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.
The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning.
The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.
The highlights
- Online course
- 2.5 hours for course videos
- Downloadable resources
- Self-paced learning
- Professional assistance
- Certificate of completion
Program offerings
- Course modules
- Videos
- Lectures
- Articles
- Question and answers
- Downloadable resources
- Lifetime access
- Mobile access
- Tv access
- Course certificate.
Course and certificate fees
Fees information
₹ 449 ₹1,499
Outlier Detection Algorithms in Data Mining and Data Science fee structure
Course fee | Rs 1,499 |
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
The course on ‘Outlier Detection Algorithms in Data Mining and Data Science’ by Udemy is designed for data scientists and data analysts to enhance their skills and knowledge on outlier detection algorithms. The course is beneficial for the students interested in learning about the algorithms applied for fraud detection in credit cards, insurance, and health care or detecting intrusion associated with cyber security or military surveillance.
Eligibility criteria
The students who wish to apply for the ‘Outlier Detection Algorithms in Data Mining and Data Science’ course are expected to have background knowledge of fundamental statistics and linear algebra.
Certificate qualifying details
The students of the ‘Outlier Detection Algorithms in Data Mining and Data Science’ online program can receive the course certificate after completing the training.
What you will learn
Data science knowledge
Knowledge of algorithms
Knowledge of data mining
Machine learning
Knowledge of cyber security
Analytical skills
The Outlier Detection Algorithms in Data Mining and Data Science curriculum is developed for the students to learn and familiarize themselves with the techniques for analysis and detection of outliers in the datasets. By the end of the course, students will develop an expertise in understanding outlier algorithms by learning about algorithms in Univariate space, Low-dimensional space, and High-dimensional space.
The syllabus
Introduction
Detection outliers in Univariate space
- Three Sigma Rule
- Masking and Swamping effects
- MAD Rule
- Boxplot Rule
- Adjusted Boxplot Rule
Detection outliers in Multivariate space
- Introduction to Linear Algebra, Part1
- Introduction to Linear Algebra, Part2
- Introduction to Linear Algebra, Part2
- Mahalanobis Rule
- LOF - Local Outlier Factor
Detection outliers in high-dimensional space
- Angle-Based Outlier Detection
Final Lecture
Admission details
The students who wish to apply for the ‘Outlier Detection Algorithms in Data Mining and Data Science’ online training program can register online through the website.
Step 1: Go to the course page using the following link
https://www.udemy.com/course/outlier-detection-techniques/
Step 2: Click on the ‘Buy Now’ link on the course page.
Step 3: Fill in the details and complete the registration.
Filling the form
The applicants are required to enter their name, email address, and the Udemy course account password on the registration page to join the course.
How it helps
The Outlier Detection Algorithms in Data Mining and Data Science certification enables the students to gain programming experience and skills and expertise in algorithms for outlier detection which is applied in data mining, machine learning, data analysis, pattern recognition, data science, data cleansing, and statistics. The course certificate is significant for career development.
FAQs
Which online provider offers the course on ‘Outlier Detection Algorithms in Data Mining and Data Science’?
The course is provided by Udemy.
When do I have to complete the ‘Outlier Detection Algorithms in Data Mining and Data Science’ online course?
The is no deadline for the course, students can learn at their own pace.
Will I get a course certificate for the ‘Outlier Detection Algorithms in Data Mining and Data Science’ training?
Yes, you will receive a course certificate after completing the online training.
Can I access the course materials for free?
No, you will have to pay the course fee to get access to the course curriculum.
What are the prerequisites to join the ‘Outlier Detection Algorithms in Data Mining and Data Science’ classes?
The students are required to have prior knowledge of the fundamentals of statistics and linear algebra.
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