Comprehensive Statistical Analysis: Step-by-Step Capstone Project Case Study

Master probability and statistics in Python with this comprehensive capstone lesson. Follow a complete case study using real Titanic and airline data sets to learn how to load, analyze, and visualize data. You will practice key techniques such as descriptive statistics, probability distributions, hypothesis testing, regression, time series analysis, and Bayesian methods.

This step-by-step guide is designed for learners who want to build practical data science skills. Each section demonstrates core concepts with clear Python examples, helping you understand how to explore data, test ideas, and make predictions. By the end, you will be able to apply statistical thinking and Python tools to real-world problems.

00:00 Introduction and overview
00:18 Loading and previewing the Titanic data set
01:00 Understanding variables and probability
02:25 Descriptive statistics and handling missing data
06:00 Discrete probability distributions
09:00 Continuous distributions and visualization
12:14 Sampling and the central limit theorem
13:59 Confidence intervals for estimates
15:49 Hypothesis testing with survival rates
17:26 Correlation and covariance
19:00 Simple linear regression
21:21 Logistic regression classification
24:20 Time series analysis with airline data
26:07 Bayesian approach and updating beliefs
28:21 Mini project: lifeboat simulation
30:17 Mini project: ticket price and survival analysis
31:43 Best practices and troubleshooting
32:15 Extra tips for learning
32:46 Challenge exercises
33:26 Recap and next steps
34:00 Thank you and closing

#Statistics #Python #DataScience

Видео Comprehensive Statistical Analysis: Step-by-Step Capstone Project Case Study канала Mathew K Analytics