Outlier Detection Courses and Certifications

Cleaning Data in Java

Master data cleaning in Java using statistical methods, transformations, and validation for reliable apps.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Data Prep for Machine Learning in Python

4 ratings at Corporate Finance Institute

Learn all the essential skills to prep your data in Python, from data cleaning and imputation to EDA, feature selection, and feature engineering

• Corporate Finance Institute
• 3 hours 27 minutes
• On-Demand
• Paid Course

Open Data Science

A Spurious Outlier Detection System for High Frequency Time Series Data

Discover an integrated approach for detecting spurious outliers in high-frequency time series data from IoT sensors, applicable across various domains like manufacturing, retail, and healthcare.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming

Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.

• YouTube
• 1 hour
• On-Demand
• Free Video

UofU Data Science

Distance Metric Learning and Outlier Detection in Data Mining - Spring 2023

Delve into advanced data mining concepts, focusing on distance metric learning, outlier detection techniques, and practical applications of DBSCAN for effective data analysis.

• YouTube
• 1 hour 18 minutes
• On-Demand
• Free Video

Intro to Data Cleaning and Preprocessing with Titanic

Master data cleaning and preprocessing techniques using Python with the Titanic dataset, covering missing data handling, feature engineering, scaling, outlier detection, and categorical data transformation.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Data Cleaning and Preprocessing in Machine Learning

Master data preprocessing techniques using the Titanic dataset, covering cleaning, handling missing values, outlier detection, feature engineering, and model training with Python and Pandas for effective machine learning preparation.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate

Data Cleaning and Preprocessing Techniques

Master essential data preprocessing techniques, from handling missing values and outliers to implementing normalization, encoding, and binning methods using Python and Pandas for effective data preparation and analysis.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Introduction to Data Cleaning and Transformation

Master data cleaning techniques through hands-on practice with filtering, handling missing values, feature engineering, and data transformation using real-world datasets in Python and pandas.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Data Preprocessing for Predictive Modeling

Master data preprocessing techniques for predictive modeling, covering missing values, outliers, feature selection, and normalization using the California Housing Dataset as a practical example.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Data Cleaning and Preprocessing with R

Master essential data cleaning techniques in R using tidyr, covering missing values handling, outlier detection, data normalization, and categorical encoding for effective analysis.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Intro to Data Cleaning and Preprocessing with Diamonds

Master data cleaning techniques using the diamonds dataset, from handling missing values to standardizing features, with hands-on practice in categorical conversion, visualization, and outlier detection.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Revisiting Machine Learning Fundamentals

Discover practical ML fundamentals through an end-to-end project covering data exploration, preprocessing, model building, evaluation, and REST API deployment.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Foundations of Feature Engineering

Master the basics of feature engineering: clean data, handle missing values, address outliers, and scale datasets to prepare raw data for transformation and advanced analysis.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

PredictHealth's Multi-Factor Cost Models

Master advanced regression techniques to build sophisticated multi-factor prediction models with data cleaning, validation, and custom feature engineering for insurance cost analysis.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate