Biostatistics Tutorial for Beginners to Experts
Comprehensive biostatistics tutorial covering key concepts from basics to advanced topics, including data analysis, probability, medical decision-making, epidemiology, and research design.
Soil Dynamics
Explore soil dynamics, vibrations, wave propagation, and machine foundations. Learn about earthquake waves, liquefaction, and soil improvement methods for practical engineering applications.
Essential Statistics for Data Science - Learn Statistics for Data Science
Comprehensive overview of essential statistics for data science, covering central tendency, hypothesis testing, ANOVA, and more. Ideal for aspiring data scientists seeking foundational knowledge.
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.
Statistics
Comprehensive video series covering fundamental statistical concepts, from data analysis to hypothesis testing, with practical examples and in-depth explanations.
A-Level Exams - Sample Assessment
Comprehensive practice with sample A-level Pure Mathematics and Statistics & Mechanics exams, aligned with Edexcel's new specification, to prepare students for the rigorous assessment format.
The Student's t-Distribution
Explore the Student's t-Distribution, its methods, and applications in statistical analysis for more accurate inferences from small sample sizes.
O Levels Maths
Comprehensive O Levels Mathematics course covering key topics like algebra, geometry, trigonometry, and statistics. Includes exam techniques and practice questions for thorough preparation.
Moment Generating Functions
Explore moment generating functions in-depth with Professor Knudson's comprehensive 8-part video series, covering theory and applications in probability and statistics.
Learn Python for Healthcare Statistics
Explore Python for healthcare statistics, covering data analysis, visualization, and statistical methods using tools like Pandas, Plotly, and Patsy in Google Colab.
Quantitative Methods
Explore regression analysis and difference-in-differences methodology using R, with a focus on the Minimum Legal Drinking Age example.
Microsoft Excel
Master Excel essentials: data handling, formatting, graphing, and problem-solving tools. Learn through practical examples and case studies to enhance your spreadsheet skills for various applications.
Data-Driven Science and Engineering
Explora técnicas avanzadas de aprendizaje automático, sistemas dinámicos y control con ejemplos prácticos en Matlab y Python, basados en el libro "Data-Driven Science and Engineering" de Brunton y Kutz.
Sensitivity Analysis - Types of Sensitivity Analysis
Explore sensitivity analysis techniques, applications, and practical demonstrations to enhance data-driven decision-making and assess variable impacts on outcomes in various domains.
Risk Modelling and Survival Analysis - Actuarial Science
Explore stochastic processes, Markov chains, risk modeling, and survival analysis in actuarial science. Learn key concepts and tackle past exam questions using R for practical applications.
Statistics in One Minute
Concise explanations of key statistical concepts, from probabilities to financial metrics, offering quick insights for learners and professionals in data analysis and finance.
Monte Carlo Simulation with Python
Learn to implement Monte Carlo simulations in Python, exploring various betting strategies and analyzing results through statistical methods and data visualization.
Biostatistics Using R Course
Learn biostatistics with R: from basics to advanced topics like probability, inferential statistics, mixed modeling, and regression analysis. Gain practical skills for data analysis in biological sciences.
Geometric Deep Learning for Drug Discovery
Explore geometric deep learning techniques for drug discovery, covering graph neural networks, molecule generation, and retrosynthetic prediction. Gain insights into cutting-edge research and applications in pharmaceutical development.
Deep Generative Modeling
Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.
Counterfactual Prediction in Transport Modelling - Ricardo Silva & Charisma Choudhury
Explore counterfactual prediction in transport modeling, enhancing decision-making capabilities through causal inference and machine learning for 'what if' scenarios and fairness considerations.