Outlier Detection Courses and Certifications

Coursera

Detect AI Anomalies: Real-Time Outliers

Master statistical methods and unsupervised learning to build intelligent early warning systems that detect critical AI anomalies in real-time production environments.

• Coursera
• 2 hours 38 minutes
• Self-Paced
• Paid Course

AI-Powered Data Analysis with Microsoft Copilot

Master AI-powered data analysis using Microsoft Copilot to transform raw data into insights, build dashboards, and automate workflows—no prior experience needed.

• Coursera
• 5 hours 21 minutes
• Self-Paced
• Paid Course

Advanced Data Analysis with Generative AI

Master advanced data analysis techniques—predictive modeling, time-series forecasting, anomaly detection, and text analysis—using generative AI tools to uncover hidden patterns in complex datasets.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Transform Healthcare Data: Cleanse and Evaluate

Master systematic healthcare data preparation techniques to identify missing patterns, clean text fields, and evaluate outlier impacts for reliable patient care insights.

• Coursera
• 2 hours 10 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Exploratory Data Analysis with R and ggplot2

Master data exploration and visualization using R and ggplot2 to uncover patterns, analyze relationships, and create professional plots for data-driven insights.

• Coursera
• 5 hours 43 minutes
• Self-Paced
• Paid Course

Coursera

Data Quality Auditing and Profiling

Master data quality auditing by profiling datasets, running validation checks, flagging capture errors, and reconciling data across systems to ensure accuracy and integrity.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Data Preparation and Analysis

Master data preparation skills—ingesting raw data, handling missing values, detecting outliers, engineering features, and building model-ready datasets for data analyst and ML roles.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

SPSS Basics

665 ratings at Udemy

SPSS primer - learn the fundamentals of statistical analysis with SPSS.

• Udemy
• 2 hours 11 minutes
• Self-Paced
• Paid Course

Cleaning Data In R with Tidyverse and Data.table

619 ratings at Udemy

Get your data ready for analysis with R packages tidyverse, dplyr, data.table, tidyr and more

• Udemy
• 4 hours 4 minutes
• Self-Paced
• Paid Course

Black Hat

Leveraging Streaming-Based Outlier Detection and SliceLine to Stop Heavily Distributed Bot Attacks

Explore techniques to combat distributed bot attacks using streaming-based outlier detection and SliceLine, generating effective rules for blocking malicious traffic at scale.

• YouTube
• 40 minutes
• Self-Paced
• Conference Talk

UofU Data Science

Outlier Detection - Methods and Robust Estimation Techniques - L20

Discover robust methods for identifying and handling outliers in data science, from residual-based detection to advanced techniques like eigenvector pruning and geometric medians.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

NITTTR

Data Sciences: Data Warehousing and Data Mining

Master data warehousing architectures, OLAP operations, and mining techniques including classification, clustering, and association rules for data-driven decision-making.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Amazon Web Services;  Amazon

AWS SimuLearn: Anomaly Detection

Hands-on AI-powered simulation for designing and implementing anomaly detection solutions on AWS, combining customer interaction practice with live AWS Console experience.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Go Beyond the Numbers: Translate Data into Insights

Master exploratory data analysis and data visualization using Python and Tableau to craft compelling data stories and uncover actionable insights in this Google Advanced Data Analytics course.

• Google Skills
• 27 hours
• Self-Paced
• Paid Course

Feature Engineering for Machine Learning

Master feature engineering for ML with techniques covering missing data imputation, categorical encoding, variable transformation, discretization, and feature creation using pandas, Scikit-learn, and Feature-engine.

• Train in Data
• Self-Paced
• Paid Course