读研之后一直想系统地学习一下生物统计学的知识,一开始找不到合适的教程,那些枯燥难懂的网课实在是看不下去,后来发现了StatQuest视频,又忙于实验和开题而搁置下来。现在突然闲下来好几个月,正好可以有时间安心学习了。
差不多两个月的时间,断断续续地看了StatQuest的80多个视频,每个视频大概只有十几分钟,这也算是完成了以前立的flag。目前作者还在不断更新他的视频,以后有机会再看更新的。

StatQuest是一个非常棒的统计学学习视频,非常适合(数学不怎么好的)遗传学研究者。在作者自己的介绍里也讲到,制作视频的初衷就是给他的genetics researchers同事们讲解如何处理他们的数据。
Hi! I’m Josh Starmer and welcome to StatQuest! StatQuest started out as an attempt to explain statistics to my co-workers – who were all genetics researchers at UNC-Chapel Hill. They did amazing experiments, but they didn’t always know what to do with the data they generated. That was my job. But I wanted them to understand that what I did wasn’t magic – it was actually quite simple. It only seems hard because it’s all wrapped up in confusing terminology and typically communicated using equations. I found that if I stripped away the terminology and communicated the concepts using pictures, it became easy to understand.
这个视频深入浅出地将复杂的统计学术语和理论解释的直白透彻,举例子都是用生物学上常见的数据,如老鼠的体重和大小、基因的表达量等。作者使用了非常多的形象的图表来解释统计学概念,所以初学者也可以看的懂。
学习一些统计学原理对于生物学研究者来说非常重要,至少能够更清楚怎样对自己的数据做出合适的分析。不过这个教程还是相对简单的,不会把统计学公式讲的很深入。对于生物学研究者来说,知道统计学背后的原理并懂得其用法才更重要。


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