Essentials of Epidemiology
Explore clinical trial studies, cohort research models, and survival analysis techniques including Kaplan Meier method in epidemiological research.
R Tutorials
Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.
Digital Signal Processing, 1975
Comprehensive introduction to analog and digital signal processing, covering applications in various fields. Gain practical skills through 20 video lectures led by a renowned expert.
Real-Time Digital Signal Processing Laboratory Course
Comprehensive video series on real-time digital signal processing, covering DSP architecture, filters, modulation techniques, and communication systems. Includes lectures and homework discussions for hands-on learning.
RStudio Tutorial
Comprehensive RStudio tutorial covering statistical analysis, data visualization, bioinformatics, machine learning, and more. Ideal for beginners and advanced users seeking practical skills in R programming.
Bioinformatics
Comprehensive bioinformatics tutorials covering RNA-seq analysis, data visualization, statistical methods, and cancer genomics using R and other tools.
Learn TensorFlow and Deep Learning Fundamentals with Python - Code-First Introduction Part 1-2
Comprehensive introduction to TensorFlow and deep learning fundamentals, covering tensor operations, neural network regression, and classification. Hands-on coding examples and practical insights for building and improving models.
R Programming
Learn R programming fundamentals for bioinformatics applications, covering essential concepts and techniques in a comprehensive two-part introduction.
Biostatistics and Epidemiology Lecture Series
Comprehensive lecture series covering essential biostatistics and epidemiology concepts, from basics to advanced topics like probability, statistical inference, and survival analysis.
Statistical Methods - Biostatistics
Comprehensive biostatistics training covering hypothesis testing, z-test, t-test, chi-square test, F-test, and ANOVA. Includes theory, applications, and problem-solving for robust statistical analysis in biological research.
Biostatistics
Comprehensive introduction to biostatistics covering key concepts, probability, distributions, hypothesis testing, and statistical analysis methods for healthcare and research applications.
Biostatistics Mini-Lectures
Explore essential biostatistical analysis techniques through concise presentations, covering correlation, t-tests, ANCOVA, MANOVA, non-parametric analysis, and more.
Biostatistics and More
Comprehensive biostatistics overview covering central tendency, dispersion, distributions, data visualization, research variables, statistical testing, and hypothesis analysis.
Classic Biostatistics Videos
Comprehensive video series covering key biostatistics concepts for medical exams, including study designs, risk assessments, and diagnostic test evaluations.
UseR! 2020: Biostatistics
Explore biostatistics applications in R, covering clinical trials, mortality analysis, metaproteomics, descriptive tables, ETL, anthropometry, leukemia treatment, meningioma genomics, and survival curve comparisons.
Applied Biostatistics
Comprehensive exploration of biostatistical methods and applications, equipping learners with practical skills for data analysis in biological and medical research contexts.
Biostatistics USMLE
Comprehensive biostatistics review for USMLE Step 1, covering key concepts, practice questions, and exam strategies to enhance understanding and test performance.
Bioinformatics Course Lectures
Comprehensive bioinformatics lectures covering genomics, sequencing, evolution, statistics, alignment, phylogenetics, assembly, annotation, and genetic variation for aspiring bioinformaticians.
Python Data Science Project
Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.
Fundamentals of Biostatistics
Learn key biostatistics concepts, research methods, data types, and the scientific process for effective study design and analysis in health sciences.
Fundamentals of Biostatistics
Learn to design studies, analyze data, and interpret results for biology research, healthcare, and public health applications using statistical tools and methods.