Data
Statistics for Data Analysis
A full course on applied statistics: written lessons covering populations and sampling, distributions, estimation and uncertainty, hypothesis testing, regression, resampling, and reproducible reporting, narrated audio for every concept, practice questions with explanations, and mock exams. Every statement traces back to the NIST/SEMATECH handbook and current SciPy documentation.
What you'll learn
- Getting Started
- Populations, Sampling, and Data
- Probability Distributions and Description
- Estimation and Uncertainty
- Hypothesis Testing and Group Comparisons
- Association and Regression
- Robustness, Resampling, and Dependence
- Reproducible Statistical Reporting
The course
The remaining 23 lessons are in the app.
