Best Data science & statistics Videos
「Data science & statistics」下面有56部被不同的人、在不同月份推荐过的视频。挑的时候先看对象:入门9部,适合还没学过的人;进阶12部,适合已经懂术语的人;普通向32部,按兴趣就能看;更硬的3部,留给想看推导或细节的人。这一类数量最多的是演讲,所以它们的共同点是一位讲者把一个判断讲完,例子是为了撑住这个判断。常出现的频道包括Veritasium、Enthought、Stand-up Maths。目录给这个主题划的范围是:Data science and applied statistics: data analysis, pandas, scientific Python, regression, A/B testing, causal inference, Bayesian methods, statistical misconceptions, big data, data engineering.如果只看三部,就从《A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt》开始,它负责把问题讲出画面;然后看《DON'T PANIC — Hans Rosling showing the facts about population》,换一种讲法或例子;最后看《Is Most Published Research Wrong?》,留给已经有基础的人。页面按每页24部切开,顺序看的是被推荐跨越了多少个月,不是播放量。每条标题下面那一句是这部片子自己的内容说明,用来区分它在讲定义、过程、演示还是观点。点进去能看到推荐原话、原文链接和适合谁看。看的时候把强烈推荐当成有人明确叫你去看,把引用当成只是拿来举例,把批评留下来对照,不要把每条评论都当成同一力度。

Survivor Bias
A Veritasium video on survivor bias, explaining how an observed sample can be incomplete and skewed.

Correlation CAN Imply Causation! | Statistics Misconceptions
A four-minute minutephysics video arguing that causal models and causal networks let statistics infer causation from correlation.

Todd Snider - Statistician's Blues
A live 2007 performance of Todd Snider's song 'Statistician's Blues' at the Great American Music Hall.

Red Bead Experiment with Dr. W. Edwards Deming
Excerpts from W.

Freeman Dyson - Fermi's rejection of our work (94/157)
Freeman Dyson recounts how Enrico Fermi rejected his team's meson scattering model, noting that it had too many free parameters.

Why was Biden's win calculated to be ONE IN A QUADRILLION?
Matt Parker of Stand-up Maths examines the Texas Supreme Court filing claiming Biden's 2020 win had a one-in-a-quadrillion chance.

For and Against National Service | Yes, Prime Minister | Comedy Greats
A Yes, Prime Minister scene in which Sir Humphrey shows how leading questions can make a poll produce either answer on national service.

Scene from Moneyball - What is the problem?
A scene from Moneyball in which Brad Pitt's character argues with scouts who pick players on intangible impressions instead of performance data.