Business Analytics for Management Decision
This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real life cases to know the relevance of a particular problem and the decision-making thereof.
Statistics
Comprehensive video series covering fundamental statistical concepts, from data analysis to hypothesis testing, with practical examples and in-depth explanations.
Statistics
Learn advanced statistical techniques including regression analysis, ANOVA, and model selection. Master key concepts like variance inflation, F-tests, and information criteria for robust data analysis.
Parameter Estimation in Mathematical Oncology - Lecture
Dive into advanced techniques for parameter estimation in mathematical oncology, exploring key concepts and practical applications.
Using R
Learn advanced statistical techniques and data analysis using R, covering distributions, simulations, estimations, and various statistical tests through practical examples and hands-on coding.
Approximations
Explore statistical approximations, including binomial, Poisson, and normal distributions. Learn delta method, confidence intervals, and moment estimation techniques for various probability distributions.
Order Statistics
Explore order statistics, from summation formulas to distribution convergence, transformations, and practical applications using R for data analysis and visualization.
Statistics in Machine Learning
Comprehensive guide to statistics for machine learning, covering fundamental concepts, distributions, hypothesis testing, and practical applications using Python.
Using Excel in Statistics
Learn to leverage Excel for statistical analysis, from data display to hypothesis testing and regression, enhancing your data interpretation skills.
Bootstrap Confidence Intervals
Learn to create and interpret bootstrap confidence intervals for various statistical measures, enhancing your data analysis skills.
Statistics - Vol 3
Comprehensive exploration of sampling distributions, Central Limit Theorem, and confidence intervals. Covers statistical concepts for estimating population means and proportions using various sample sizes.
Statistics - Vol 4
Comprehensive guide to advanced statistical concepts, covering confidence intervals, chi-square distribution, population variance estimation, and in-depth exploration of hypothesis testing for means and small samples.
Stats Examples
Comprehensive statistical training covering key concepts, probability, distributions, hypothesis testing, and advanced analyses with step-by-step examples and practical applications.
Normal Distribution
Explore the Normal Distribution, including standard forms, calculations, Central Limit Theorem, and confidence intervals. Learn to model and solve various probability problems.
Excel Statistical Analysis - Learn Central Limit Theorem by Building Sampling Distribution of Xbar
Explore the Central Limit Theorem through practical Excel exercises, learning to build sampling distributions and apply statistical concepts for informed business decision-making.
Biostatistics
Comprehensive introduction to biostatistics covering key concepts, probability, distributions, hypothesis testing, and statistical analysis methods for healthcare and research applications.
파이썬 Python Seaborn 으로 시각화 하기
Seaborn 을 활용한 데이터 시각화 기법 학습: 다양한 그래프 유형, 시계열 데이터 처리, 통계 분석 시각화, 서브플롯 생성 등 실용적인 기술 습득
Measuring the IQ of Your Threat Intelligence Feeds
Explore methods for evaluating threat intelligence feeds, including novelty tests, overlap tests, and population tests, to improve cybersecurity decision-making and data analysis.
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Explore noise-aware statistical inference techniques for differentially private synthetic data, combining multiple imputation and Bayesian modeling to produce accurate uncertainty estimates for population-level quantities.
Trustworthy Communication of Statistics and Risk in the Age of COVID-19
Explore trustworthy communication of COVID-19 statistics and risks, focusing on official releases, background actuarial risk, and lessons for effective public understanding during crises.
Estimate Change in CEO Departures With Bootstrap Resampling
Explore bootstrap resampling with tidymodels to analyze trends in CEO departures, using generalized linear models and #TidyTuesday data.