Introduction to Poisson Regression Models for Count Data
Learn to analyze count data using Poisson regression models, including diagnostics, goodness of fit statistics, and residual analysis techniques.
Qualitative Data Handling and Data Analysis
Explore qualitative research methods, data analysis techniques, and ethical considerations. Learn about innovative approaches like problem-centered interviewing, discourse analysis, and big data integration in social sciences.
Quantitative Data Handling and Data Analysis
Explore quantitative data analysis techniques through expert lectures on topics like meta-analysis, cohort effects, questionnaire design, and statistical approaches to social research and policy-making.
Excel Skills
Enhance data analysis skills with time-series plots, matrix-to-vector conversion, vlookup, histograms, text data import, and correlation techniques in Excel.
ECLR-R for Econometrics
Learn essential econometric techniques using R, from data import and analysis to advanced modeling like ARIMA, GARCH, and difference-in-differences, with practical examples and hands-on exercises.
The Statistical Process
Explore key statistical concepts including data types, sampling methods, survey design, inference, significance, and measures of central tendency and spread.
Choosing the Test, With Tests
Learn to select and apply statistical tests, interpret p-values, and perform analyses using Excel, covering t-tests, regression, and chi-square tests for various data types.
Statistics
Comprehensive statistics screencasts for engineers, covering data analysis, regression, distributions, hypothesis testing, and advanced topics with practical applications in MATLAB, Excel, and POLYMATH.
E2EML - How Selected Models and Methods Work
Explore key machine learning algorithms and methods, including decision trees, Bayes Theorem, autocorrelation, Support Vector Machines, and k-nearest neighbors, in this comprehensive video series.
Convolution in One Dimension for Neural Networks
Comprehensive exploration of 1D convolution in neural networks, covering theory, implementation, and practical application for time series data analysis and model building.
Communication System Fundamentals
Explore key concepts in communication systems, including data transmission, noise, signal processing, and network protocols, to enhance understanding of modern telecommunications.
LaTeX Tutorials
Master LaTeX for stunning math documents: equations, tables, figures, theorems, and graphics. From beginner to advanced, covering thesis writing and essential packages.
Hypothesis Tests
Comprehensive guide to advanced hypothesis testing techniques, covering correlation, contingency tables, and non-parametric tests for various statistical scenarios and data types.
Discrete Probability Tables
Learn to create, analyze, and modify discrete probability distribution tables, including calculating mean, variance, mode, and median.
Time Series
Explore time series analysis techniques including forecasting, regression, moving averages, and trend analysis for data-driven insights.
Grade 12 Geography Unit 1 Research Methodology
Learn essential research methodologies, approaches, and elements in geography, focusing on the nature of geographic research for advanced studies.
Learn Microsoft Word
Master Microsoft Word essentials: document creation, formatting, tables, images, and advanced features. Enhance productivity with practical skills for efficient word processing and document management.
Introduction to Business Analytics
Comprehensive introduction to business analytics covering data manipulation, statistical concepts, visualizations, and analytical techniques for informed decision-making in business contexts.
Cloud Summit 2021 - Day 3 Sessions on Azure Technologies
Explore diverse Azure topics: custom vision, bot development, SQL, data governance, time series analysis, and application resiliency in this comprehensive cloud technology event.
Predicting Meteor Showers Using Python and Visual Studio Code
Learn to predict meteor showers using Python and VS Code. Explore data science in celestial event forecasting, inspired by Netflix's "Over the Moon". Hands-on coding with real-world astronomical data.
Data's Role in Moon Missions - Fictional and Real
Explore data analysis for moon missions using Python, pandas, and NASA data to estimate rock sample collection for the Artemis Program, inspired by Netflix's "Over the Moon" and Apollo missions.