P-values Courses and Certifications

Coursera

Statistical Tests for Market Research

Master statistical analysis for market research through hypothesis testing, A/B testing, and two-sample t-tests to make data-driven business decisions and validate assumptions.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Coursera

Run Inference & Hypothesis Tests

Master statistical inference through confidence intervals, hypothesis testing, and power analysis to make data-driven business decisions with Python/R.

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

Coursera

Apply Basic HR Stats

Master HR statistical analysis by running Excel T.TEST functions, interpreting p-values with AI assistance, and making evidence-based decisions from engagement survey data. No statistics background required.

• Coursera
• 2 hours 13 minutes
• Self-Paced
• Paid Course

EDUCBA

Apply Hypothesis Testing with Minitab for Data Analysis

Master hypothesis testing with Minitab through hands-on analysis of real datasets, correlation techniques, and statistical decision-making for confident data-driven conclusions.

• Coursera
• 4 hours 17 minutes
• Self-Paced
• Paid Course

Coursera

Statistical Thinking & Predictive Modeling

Master statistical thinking and predictive modeling—from hypothesis testing and regression to classification models and CLV prediction—building portfolio-ready skills for data analyst or ML roles.

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

Certified Minitab Expert: Hypothesis Testing (Accredited)

742 ratings at Udemy

Certified Minitab Expert (Accredited) | Hypothesis Testing with Minitab | Minitab Expert Certification | Earn 2.5 PDUs

• Udemy
• 2 hours 25 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

Statistics Fundamentals

Comprehensive overview of statistical concepts, from basic distributions to advanced topics like maximum likelihood, providing a solid foundation for data analysis and interpretation.

• YouTube
• 8 hours
• Self-Paced
• Free Video

StatQuest with Josh Starmer

Linear Regression, Clearly Explained

Clear explanation of linear regression concepts, including least squares, R-squared, multivariable models, p-values, and F-distribution. Ideal for beginners seeking a solid foundation in statistical analysis.

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

BIMSA

Algebraicity and p-adic Interpolation of Critical Hecke L-values

Explore advanced techniques in algebraic number theory focusing on p-adic interpolation methods and critical values of Hecke L-functions.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

p-adic Values of G-functions and Unlikely Intersections

Explore p-adic values of G-functions and their role in proving cases of the Zilber-Pink conjecture for Shimura varieties using André's method.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Institut des Hautes Etudes Scientifiques (IHES)

p-adic Motives and Special Values of Zeta Functions

Explore unconditional formulation and proof of Artin-Tate conjectures for zeta functions using $F$-Gauges theory and stable Bockstein characteristics in algebraic geometry.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Understanding Data

1 rating

The power of statistics, random control trails, analytical approaches, linear regression, and more.

• Marginal Revolution University
• 6 hours
• Self-Paced
• Free Online Course

IIT Bombay;  NPTEL

Pre-Business school statistics

Master essential statistical thinking and analytical tools for MBA success through real-world business scenarios, covering data interpretation, probability, hypothesis testing, and predictive modeling.

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

Data Science Essentials - Crash Course in A/B Testing with Case Study

Comprehensive A/B testing crash course covering statistical analysis, data science theories, and Python implementation, including a real-world case study for practical application.

• freeCodeCamp
• 2 hours 33 minutes
• Self-Paced
• Free Video