Statistics courses

Browse public Statistics courses with structured lessons, visuals, and practice on Wondering.

• Fooled by Randomness

  Nassim Taleb explores how humans systematically underestimate the role of luck and randomness in life and markets, mistaking random outcomes for skill-based results. The book examines survivorship bias, skewed distributions, and the concept of "alternative histories"—what would happen if you relived events 1000 times. Taleb argues that things achieved through luck are vulnerable to being lost through luck, while those built with minimal luck are more resistant to randomness.

• Neural Temporal Point Processes in Production

  Level up your deep learning toolkit to master irregular event streams, model continuous-time sequences, and ship real-time forecasting and anomaly detection straight to production. * **Master core point process theory** without the academic fluff * **Build RNN-, attention-, and flow-based** intensity models * **Forecast user events and transactions** in real time * **Detect sequence anomalies** directly within live production streams

• L22 統計推論與 Python 邏輯精準補強

  這門課專為補強假說檢定判讀與 Python 條件邏輯設計，帶你釐清核心觀念，自信迎戰各類題型並順利通關。 * **精準判讀假設檢定**：秒解 p 值與顯著水準大小關係 * **掌握信賴區間決策**：看穿區間是否包含虛無值 * **搞懂 Python 條件邏輯**：熟練布林運算與短路求值 * **破解情境混合題**：活用統計與程式直覺通過 L22

• iPAS L22 最小必要先修

  專為商管背景設計，用一句核心定義與極簡範例快速掌握 L22 必考的統計、資料庫與 Python 重點，助你高效跨過作答門檻。 * **掌握 Python 基礎語法**：None 判斷、條件篩選與字典累加 * **秒懂關鍵統計概念**：Poisson 分布、Z 分數與信賴區間 * **釐清資料處理精要**：pandas describe 與 ACID 原子性 * **建立考點直覺理解**：一 फंडा一例，精準避開混淆陷阱

• Introductory Statistics 2e IV — Relationships and Group Comparisons

  The final course adapted from OpenStax Introductory Statistics 2e, connecting chi-square comparisons, scatterplots, correlation, least-squares regression, residual diagnostics, and one-way ANOVA to responsible interpretation.

• Introductory Statistics 2e III — Hypothesis Testing

  The third of four courses adapted from OpenStax Introductory Statistics 2e, connecting null models and p-values to error tradeoffs, one-sample tests, independent comparisons, paired data, and practical importance.

• Introductory Statistics 2e II — Sampling Distributions and Estimation

  The second of four courses adapted from OpenStax Introductory Statistics 2e, developing continuous models, normal standardization, sampling distributions, the central limit theorem, and confidence intervals for means and proportions.

• Introductory Statistics 2e I — Data and Probability

  The first of four courses adapted from OpenStax Introductory Statistics 2e, connecting data production and descriptive summaries to conditional probability, expected value, and basic discrete probability models.