Learn about outlier detection in data mining, data science, machine learning, data analysis along with statistics with Python, R and, SAS in this course.
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.
Outlier Detection Algorithms in Data Mining and Data Science fee structure
Course fee
Rs 1,799
Yes
Udemy
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.
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.
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 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.
The applicants are required to enter their name, email address, and the Udemy course account password on the registration page to join the course.
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.
The course is provided by Udemy.
The is no deadline for the course, students can learn at their own pace.
Yes, you will receive a course certificate after completing the online training.
No, you will have to pay the course fee to get access to the course curriculum.
The students are required to have prior knowledge of the fundamentals of statistics and linear algebra.
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