Statistics & Probability Courses and Certifications

Statistical Learning

Explore cutting-edge statistical analysis techniques, from regression to advanced methods like kernel smoothing and support vector machines. Enhance data interpretation skills with hands-on Python examples.

• Coursera
• 4 days 18 hours 15 minutes
• Self-Paced
• Paid Course

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• Self-Paced
• Paid Course

American Psychological Association

Intro to Null Hypothesis Significance Testing with z-test

Master statistical hypothesis testing fundamentals through z-tests, probability concepts, and sampling distributions while learning to evaluate significance, effect size, and confidence intervals.

• Coursera
• 6 hours 3 minutes
• Self-Paced
• Paid Course

Introduction to Statistics: Help and Review

Comprehensive statistics review covering key concepts from data summarization to hypothesis testing, ideal for catching up or enhancing understanding.

• Study.com
• 18 hours 16 minutes
• Self-Paced
• Paid Course

Statistics You Need to Know for Machine Learning

Discover essential statistical concepts for machine learning, from linear and logistic regression to model selection and diagnostics, bridging traditional statistics with modern data science.

• Coursera
• 2 days 3 hours 28 minutes
• Self-Paced
• Paid Course

Introduction to Probability & Statistics (in Hindi)

Dive into probability and statistics with Hindi lectures and English writing, covering fundamental concepts, distributions, estimation, and hypothesis testing for engineering students.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Contemporary Math

Explore graph theory, probability, statistics, and problem-solving techniques to enhance mathematical reasoning and apply contemporary math concepts to real-world scenarios.

• Study.com
• 14 hours 16 minutes
• Self-Paced
• Paid Course

American Psychological Association

Measures of Central Tendency

Master measures of central tendency: compute, interpret, and select appropriate statistical tools for data analysis and informed decision-making across various fields.

• Coursera
• 3 hours 24 minutes
• Self-Paced
• Paid Course

American Psychological Association

t-Tests of Hypotheses About Means

Master statistical analysis techniques for comparing means through t-tests, covering one-sample, paired-samples, and independent-samples methods with practical applications in psychological research.

• Coursera
• 6 hours 6 minutes
• Self-Paced
• Paid Course

American Psychological Association

Measures of Correlation and Contingency

Explore statistical relationships through correlation and contingency tables. Learn to identify, understand, and describe correlations, and recognize patterns in contingency tables for effective data analysis.

• Coursera
• 2 hours 47 minutes
• Self-Paced
• Paid Course

American Psychological Association

Chi-Square Tests of Hypotheses About Frequency Tables

Master statistical analysis techniques for frequency tables using chi-square tests, from basic goodness-of-fit to independence testing, with practical applications in psychological research and data interpretation.

• Coursera
• 4 hours 7 minutes
• Self-Paced
• Paid Course

American Psychological Association

Measures of Variability

Explore statistical variability, calculate variance and standard deviation, compare measures, and analyze distributions graphically. Develop skills to interpret data variability in various contexts.

• Coursera
• 3 hours 23 minutes
• Self-Paced
• Paid Course

EDUCBA

Statistics for Data Science with Python

Master statistical analysis and predictive modeling using Python, Pandas, and NumPy through hands-on exercises covering descriptive stats, hypothesis testing, and regression techniques.

• Coursera
• 8 hours 3 minutes
• Self-Paced
• Paid Course

Statistical Analysis and Advanced Techniques

Master statistical analysis using R and Microsoft tools, covering significance testing, regression, logistic models, and time series forecasting with AI-assisted coding via GitHub Copilot.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

TECEP Principles of Statistics: Study Guide & Test Prep

Comprehensive preparation for TECEP Principles of Statistics exam, covering key concepts through video lessons and quizzes. Master statistical principles and techniques in less than two weeks.

• Study.com
• 12 hours 8 minutes
• Self-Paced
• Paid Course