ANOVA Courses and Certifications

Performing Experiments in Python

Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

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

R For SAS Users

Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.

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

Statistics with SAS

292 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
• 20 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Statistical Analysis: Hypothesis Testing

159 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
• 10 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Python for Scientific Research

125 ratings at Udemy

Master Python for Scientific Research with Practical Examples

• Udemy
• 3 hours 29 minutes
• On-Demand
• Paid Course

R for Researchers: From Basics to Advanced Analysis

101 ratings at Udemy

Learn R for scientific research: data manipulation, statistics, and visualization. Enhance your skills with real examples from various fields, becoming proficient in data processing and creative graph creation.

• Udemy
• 1 hour 49 minutes
• On-Demand
• Paid Course

Binomial, Normal Distribution, Matrices for Data Science

86 ratings at Udemy

Building on the Foundation: Binomial & Normal Distribution, CRISP DM, Anova, Matrices, Coordinate Geometry

• Udemy
• 16 hours 37 minutes
• On-Demand
• Paid Course

Hypothesis Testing in Python

71 ratings at DataCamp

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

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

Regression Modeling Fundamentals

52 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 43 minutes
• On-Demand
• Free Online Course (Audit)

Hypothesis Testing in R

34 ratings at DataCamp

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

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

Jamovi: A Powerful R-based Statistical Analyses Tool

31 ratings at Udemy

Create Cool Awesome Visualizations and Analyse Data using an Open Source Free R-based GUI.

• Udemy
• 4-5 hours
• On-Demand
• Paid Course

S.P. Jain Institute of Management and Research

Data Analysis

Unlock data's power for business success. Master analysis techniques, Excel tools, and real-world applications. Develop skills in statistics, probability, hypothesis testing, ANOVA, and regression for informed decision-making and competitive advantage.

• Coursera
• 15 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Working with SPSS

5 reviews

Learn to use SPSS for data analysis: from data entry and import to advanced statistical techniques like ANOVA, regression, and correlation. Master creating charts and formatting outputs.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Academic Lesson

SPSS Tutorial for Data Analysis - SPSS for Beginners

4 reviews

Comprehensive SPSS tutorial covering various statistical analyses, from basic tests to advanced regression techniques. Ideal for beginners seeking practical data analysis skills using IBM SPSS Statistics.

• YouTube
• 2 hours 31 minutes
• On-Demand
• Free Video

jamovi for Data Analysis - Full Tutorial

2 reviews

Comprehensive tutorial on using jamovi for data analysis, covering data wrangling, exploration, statistical tests, regression, and factor analysis. Ideal for beginners transitioning from SPSS to R-based analytics.

• freeCodeCamp
• 4-5 hours
• On-Demand
• Free Video