SPSS Tutorial for Data Analysis - SPSS for Beginners
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.
SPSS
Learn essential statistical tests and analyses using SPSS, including Chi-Square, ANOVA, regression, and survival analysis, with practical examples and beginner-friendly tutorials.
Sports Analytics
Explore sports analytics through diverse projects, data scraping, and statistical analyses. Learn to predict outcomes, simulate games, and gain insights into various sports using data science techniques.
Biostatistics and Design of Experiments
The course encompasses topics such as distribution of data, sample size, tests of significance, data reduction, regression analysis, comparison of performance of drugs in clinical trials, design of experiments, screening and second order designs.
Introduction to Biostatistics
In this course, we will discuss different statistical tools required to (i) analyze our observations, (ii) design new experiments, and (iii) integrate a large number of observations in a single unified model.
Correlation
Explore correlation concepts, from Pearson's coefficient to advanced topics like partial and rank correlations. Learn geometrical interpretations, multiple regression, and practical applications using R.
Quantitative Methods
Explore regression analysis and difference-in-differences methodology using R, with a focus on the Minimum Legal Drinking Age example.
The Changing Role of Forensic Odontologist - Dr. Stephen Knott
Explore the evolving landscape of forensic odontology through statistical data, curriculum trends, and skill development insights from Western Australia's 27-year case review.
Exploratory Data Analysis Using Python
Comprehensive Hindi tutorial on Exploratory Data Analysis using Python, covering Pandas, Matplotlib, and practical EDA examples with IPL, FIFA, and Superheroes datasets.
How to Be a Statistical Detective
Learn to detect statistical errors in medical literature using common sense, arithmetic, and online tools. Improve research quality and address the reproducibility crisis in science.
Combining Physical and Statistical Models in Projected Global Warming
Combining physical and statistical models to narrow uncertainty in global warming projections, focusing on Earth's energy budget and model-observation relationships for more accurate future warming estimates.
Stanford EE274: Data Compression - Beyond IID Distributions: Conditional Entropy - Lecture 8
Explore conditional entropy and advanced data compression techniques beyond IID distributions in this Stanford lecture, enhancing understanding of complex information theory concepts.
Efficient Markets vs. Excess Volatility - Financial Markets
Explore theories of stock price analysis, including efficient markets and random walk, and their implications for predicting market behavior and beating the market.
Logistic Regression
Learn to predict discrete outcomes using logistic regression, covering coefficients, maximum likelihood, R-squared, p-values, deviance, and practical implementation in R.
Mathematics - Probability and Statistics
Comprehensive exploration of probability and statistics, covering set theory, probability laws, distributions, sampling, descriptive statistics, estimation, and hypothesis testing.
Sidney Redner on Statistics and Everyday Life
Explore everyday phenomena through statistical analysis, revealing hidden patterns in parking, elevators, and sports. Learn how complex systems research uncovers universal principles in daily life.
Privacy in Census Data - Math Meets Policy
Explore the impact of differential privacy on Census data, focusing on redistricting implications and the balance between data protection and accuracy in demographic statistics.
Modeling the Distributional Epidemic-Economic Effects of the Covid-19 Pandemic
Explore a data-driven Agent-Based Model simulating Covid-19's impact on industries, occupations, and income levels, revealing insights for effective and equitable interventions.
Information and Model Misspecification - Classical Statistics vs. Info-Metrics
Explore info-metrics framework for handling model misspecification, contrasting classical methods with innovative approaches using entropy and empirical likelihood in power law distributions.
The Future of Terrorism - Patterns, Trends, and Scientific Approaches
Explore patterns and trends in modern terrorism over the past 50 years, examining data-driven insights to understand and potentially forecast future threats and developments.
I Get All the News I Need from the Sports Section - Analyzing Streaks in Sports
Explore how statistical analysis challenges the concept of "hot streaks" in sports, revealing that scoring patterns are largely random and that professional sports are becoming increasingly competitive.