Week 10: Practical Statistics for Data Science

Descriptive stats, distributions, correlation, hypothesis testing, confidence intervals

📌 Strategy & Study Guidance

Complete all exercises before moving to next block.

Blocks

Block 91 Monday

Descriptive Statistics Deep Dive

 Block 92 Monday

Distributions in Practice

 Block 93 Tuesday

Correlation & Covariance

 Block 94 Tuesday

Hypothesis Testing: t-tests

 Block 95 Wednesday

ANOVA & Chi-Square Tests

 Block 96 Wednesday

Confidence Intervals

 Block 97 Thursday

Effect Sizes & Practical Significance

 Block 98 Thursday

A/B Testing Fundamentals

 Block 99 Friday

Statistical Reporting & Visualization

 Block 100 Friday

Mini-Project: Stats Story on a Dataset

📺 20 Curated YouTube Videos

▶ Statistics for ML StatQuest ▶ Data Science Stats freeCodeCamp ▶ Hypothesis Testing StatQuest ▶ Descriptive Statistics freeCodeCamp ▶ Distributions StatQuest ▶ Correlation freeCodeCamp ▶ Confidence Intervals StatQuest ▶ Statistical Tests freeCodeCamp ▶ p-values StatQuest ▶ Probability freeCodeCamp ▶ ANOVA StatQuest ▶ Regression Stats freeCodeCamp ▶ Normal Distribution StatQuest ▶ Inferential Stats freeCodeCamp ▶ Bayesian StatQuest ▶ A/B Testing freeCodeCamp ▶ Statistical Power StatQuest ▶ Data Analysis Stats freeCodeCamp ▶ Stats Python StatQuest ▶ Practical Stats freeCodeCamp

📋 Cheat Sheets

Quick Reference

Core syntax and common patterns for this week. Week 10 - Descriptive stats, distributions, correlation, hypothesis testing, confidence intervals

API Cheat Sheet

Key functions and methods. Week 10 - Descriptive stats, distributions, correlation, hypothesis testing, confidence intervals

Best Practices

Style and performance tips. Week 10 - Descriptive stats, distributions, correlation, hypothesis testing, confidence intervals

💻 Code Snippets

Basic Example

# Week 10: Practical Statistics for Data Science
# Basic pattern for this topic
result = process(data)

Common Pattern

# Week 10: Practical Statistics for Data Science
# Frequently used pattern

Quick Start

# Week 10: Practical Statistics for Data Science
# Minimal working example

📊 Visualizations & Diagrams

Concept Diagram

flowchart LR
  A[Input] --> B[Process]
  B --> C[Output]

Paste into mermaid.live to render

Workflow

Step 1 -> Step 2 -> Step 3

Assessment

📝 Week 10 Assessment (Practice + AI Analysis)