Outlier Detection Courses and Certifications

SPSS For Research

2253 ratings at Udemy

SPSS data analysis made easy. Become an expert in advanced statistical analysis with SPSS.

• Udemy
• 14 hours 3 minutes
• On-Demand
• Paid Course

Statistics with R - Beginner Level

1600 ratings at Udemy

Learn essential statistical analyses in R: data manipulation, descriptive statistics, visualization, assumption checking, and basic hypothesis testing. Gain practical skills for effective data analysis.

• Udemy
• 2 hours 49 minutes
• On-Demand
• Paid Course

Machine Learning for Data Analysis: Unsupervised Learning

1562 ratings at Udemy

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence

• Udemy
• 2 hours
• On-Demand
• Paid Course

Essential Business Analytics: From Data to Insights

1245 ratings at Udemy

Learn the essentials of Business Analytics: Learn Data Visualization, Pre-processing, and More for success

• Udemy
• 1 hour 2 minutes
• On-Demand
• Paid Course

SPSS Basics

663 ratings at Udemy

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

• Udemy
• 2 hours 11 minutes
• On-Demand
• Paid Course

Cleaning Data In R with Tidyverse and Data.table

618 ratings at Udemy

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

• Udemy
• 4 hours 4 minutes
• On-Demand
• Paid Course

Microcredential

Data Mining Foundations and Practice

175 ratings at Coursera

Discover patterns in large-scale datasets through key data mining concepts and techniques. Learn data preprocessing, modeling, frequent pattern analysis, classification, clustering, and gain hands-on project experience.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Association Rules Analysis

12 ratings at Coursera

Explore unsupervised learning with association rules and outlier detection. Learn frequent patterns, Apriori algorithms, and outlier analysis techniques through hands-on tutorials and real-world case studies.

• Coursera
• 22 hours 56 minutes
• On-Demand
• Paid Course

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

• Coursera
• 18 hours 11 minutes
• On-Demand
• Paid Course

Understanding and Applying Text Embeddings

67 ratings at Coursera

Explore text embeddings for classification, clustering, and semantic search. Learn to build Q&A systems using Vertex AI, combining embeddings with LLM capabilities for enhanced text analysis and applications.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Excel: Analytics Tips

1161 ratings at LinkedIn Learning

Leverage some of the most powerful analytics techniques for Excel. Learn how to conduct outlier detection, perform Monte Carlo simulations, use CUBE functions, and more.

• LinkedIn Learning
• 2 hours 1 minute
• On-Demand
• Free Trial Available

Coursera

PowerBI for Beginners: Data transformation

28 ratings at Coursera

Master data transformation techniques in PowerBI through hands-on practice with flight data, focusing on cleaning, merging datasets, and handling inconsistencies for effective predictive modeling and analysis.

• Coursera
• 1 hour 46 minutes
• On-Demand
• Paid Course

Coursera

Time Series Data Visualization And Analysis Techniques

18 ratings at Coursera

Learn techniques for visualizing and analyzing time series data, including line charts, bar charts, and boxplots. Explore color mapping and methods for detecting outliers, key moments, and overall trends.

• Coursera
• 1 hour 51 minutes
• On-Demand
• Paid Course

EDUCBA

Linear Regression & Supervised Learning in Python

14 ratings at Coursera

Master linear regression and supervised learning fundamentals through hands-on Python projects, from data analysis to model evaluation and prediction techniques.

• Coursera
• 5 hours 24 minutes
• On-Demand
• Paid Course

Packt Microcredential

R Ultimate 2024 - R for Data Science and Machine Learning

5 ratings at Coursera

Master R programming for data science and machine learning, covering fundamentals to advanced techniques in statistical analysis, visualization, and AI applications.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course