33 Probability and Statistics Courses
This course provides an introduction to computational statistics for data scientists, focusing on Bayesian inference using Python and PyMC3 for real-world scenarios....
Introduction to Predictive Modeling provides an in-depth understanding of linear regression, time series forecasting, and data preparation in Excel, preparing learners...
Managing, Describing, and Analyzing Data equips learners with essential skills in data understanding, classification, and analysis using R software, probability...
Mathematical Biostatistics Boot Camp 2 offers a comprehensive study of data analysis and statistical inference, focusing on one and two independent samples.
Measurement Systems Analysis provides comprehensive training on analyzing measurement systems for process stability and capability using R software.
Model Diagnostics and Remedial Measures is a comprehensive course focusing on detecting and remedying violations of linear regression model assumptions. Participants...
Introduction to Statistical Learning covers concepts in statistical modeling, regression, classification, and more. Ideal for individuals with a broad range of undergraduate...
Stability and Capability in Quality Improvement is a comprehensive course focusing on analyzing process stability, statistical control, and capability for quality...
Statistical Inference and Hypothesis Testing in Data Science Applications equips students with the essential knowledge and practical skills to conduct hypothesis...
Statistical Inference for Estimation in Data Science provides essential knowledge of statistical inference, confidence intervals, and estimation techniques, empowering...
Statistical Modeling for Data Science Applications equips learners with advanced statistical modeling techniques, including regression analysis, ANOVA, and generalized...
Statistics with Python is a specialization teaching statistical analysis using Python. Learners will master data visualization, inferential analysis, and statistical...
Discover the power of statistics in data science and gain practical skills in descriptive statistics, probability, sampling, confidence intervals, and hypothesis...
"Trees, SVM and Unsupervised Learning" provides a comprehensive understanding of support vector machines, neural networks, decision trees, and XG boost....
Wrangling Data for Data Analysts with Python