t-tests Courses and Certifications

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

Linear Regression and Linear Models

Learn powerful statistical tools: linear regression and models. Predict continuous values using various data types. Covers least squares, multiple regression, t-tests, ANOVA, and R implementation.

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

This course is designed to explain the fundamental of statistics.

• Stepik
• 6 hours
• On-Demand
• Free Online Course

Statistics for Social Science

Comprehensive statistical methods for social sciences, covering data analysis, probability, hypothesis testing, and statistical software, with applications across various disciplines.

• California Community Colleges System
• 17 weeks, 4 hours a week
• 12th Aug, 2024
• Paid Course

Experimental Design in R

In this course you'll learn about basic experimental design, a crucial part of any data analysis.

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

Inference for Numerical Data in R

In this course you'll learn techniques for performing statistical inference on numerical data.

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

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

Introduction to Biostatistics

Learn statistical tools to analyze biological data, design experiments, and build models. Covers data representation, probability, distributions, hypothesis testing, and ANOVA. Includes R programming for practical applications.

• Swayam
• 8 weeks
• On-Demand
• Free Online Course

Analyzing Survey Data in Python

Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

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

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

Statistical Methods for Psychological Research - II

Explore statistical inference and hypothesis testing for psychological research. Learn parametric and non-parametric tests, ANOVA, chi-square analysis, and SPSS data handling for effective research methodology.

• Swayam
• 15 weeks
• On-Demand
• Free Online Course

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

Foundations of Statistics and Probability for Machine Learning

26 ratings at Pluralsight

This course will teach you the concepts, theory, and implementation of basic statistics, probability, hypothesis testing, and regression analysis required to build and interpret meaningful machine learning models.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available

Explore hypothesis testing fundamentals, including t-tests and binomial tests, to draw inferences about populations from sample data and understand statistical significance.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Understanding Statistical Models and Mathematical Models

12 ratings at Pluralsight

It is important to choose the type of model most appropriate to your use-case. This course covers important techniques from both mathematical and statistical modeling.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available