Posts about Data Analysis
- Analyzing Data
- Boxplot, histogram, visualization in R sysntax
- Coeffecient Determination
- Conclusion, other advice, assignment and Recap
- Intro to EDA
- Introduction and Statistic(Rigor)
- Linear Regression, Gradient Descent, Cost Function
- Machine Learning
- Non-parametric test
- Openstreetmap Data
- R Basics
- t-test
- A/B Testing Multiple Metrics
- A/B Testing Single Metric
- A/B Testing Sanity Check
- Duration of Experiment
- Size of Experiment
- Population of Experiment
- Subject of Experiment
- Variability of Metrics
- High to Low Level Metrics A/B Testing
- Difficult Metrics in A/B Testing
- A/B Testing Metrics
- Policy and Ethics in A/B Testing
- A/B Testing Overview
- Frequentist vs. Bayesian Approach
- Inference and Diagnostics for MLR
- Multiple Linear Regression
- Conditions and Inference of Linear Regression
- Introduction to Linear Regression
- Comparing categorical proportions and Chi-Square
- Hypothesis Testing and Confidence Interval for Categorical Variable
- t-distribution and ANOVA
- Paired data and Bootstrapping
- Decision Hypothesis Testing and Confidence Interval
- Hypothesis Testing
- Confidence Interval
- Introduction to Statistical Distributions
- Probability
- Intro to Inferential Statistics
- Exploratory Data Analysis
- Design Study
- Visualization for Big Data
- Design Principles of Visualization
- Visualization for Multi-Dimensional Data
- Statistics and Exploratory Data Analysis