Categorical Data Analysis Courses and Certifications

EDUCBA

Mastering Categorical Data Analysis with SAS

Master categorical data analysis using SAS through hands-on frequency tables, Fisher's Exact tests, logistic regression modeling, and advanced validation techniques for real-world scenarios.

• Coursera
• 12 hours 1 minute
• Self-Paced
• Paid Course

Analyzing Survey Data in R

11 ratings at DataCamp

Learn survey design using common design structures followed by visualizing and analyzing survey results.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Inference for Categorical Data in R

In this course you'll learn how to leverage statistical techniques for working with categorical data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Statistical Inference in R

A core set of skills in statistical inference necessary to understand, interpret, and tune your statistical & machine learning models.

• DataCamp
• 16 hours
• Self-Paced
• Free Trial Available

Data Analytics for Lean Six Sigma

3504 ratings at Coursera

Aprenda técnicas de análise de dados para projetos Lean Six Sigma, incluindo visualização, distribuições de probabilidade e testes estatísticos usando Minitab, com exemplos práticos.

• Coursera
• 11 hours 22 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

• Coursera
• 11 hours
• Self-Paced
• Paid Course

Regression Modeling Fundamentals

53 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 11 hours 57 minutes
• Self-Paced
• Paid Course

Data Analysis for Business: Foundations

Learn essential data analysis techniques for business, including descriptive statistics and data visualization, designed for non-specialists and those with limited quantitative experience.

• edX
• 6 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

EDUCBA Credential

Advanced SAS Programming, Macros & Reporting

Master advanced SAS programming techniques, macros, PROC SQL, and enterprise reporting to automate workflows and create scalable data pipelines for analytics environments.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Coursera

Analyze Healthcare Data with Confidence

Master statistical analysis fundamentals for healthcare data, including confidence intervals, hypothesis testing errors, and Chi-square tests to support evidence-based patient care decisions.

• Coursera
• 2 hours 27 minutes
• Self-Paced
• Paid Course

ExcelIsFun

Excel Statistical Analysis - Frequency Distributions & Visualizations for Categorical Data

Learn to create frequency distributions and visualize categorical data using Excel. Master PivotTables, column/bar charts, and advanced techniques for effective data presentation and analysis.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

This course is designed to explain the fundamental of statistics.

• Stepik
• 6 hours
• Self-Paced
• Free Certificate

Great Learning

Inferential Statistics

Learn fundamental concepts of inferential statistics, including data collection, hypothesis testing, and statistical analysis techniques for making data-driven inferences and decisions.

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

University of Tübingen

Essential Statistics

Learn fundamental statistical concepts and techniques, from basic probability to regression analysis, enhancing your data interpretation and research skills.

• YouTube
• 7 hours
• Self-Paced
• Free Online Course

Great Learning

Logistic Regression on Customer Data - Machine Learning Algorithms Using Python

In this video, the we will walk you through a case study on Customer data of a financial institution. The objective of the case study is to reduce expenses by targeting only those customers who are likely to subscribe using predictive modeling.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video