Kaiser Fung’s data analysis bootcamp

June 13, 2017
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(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)

Kaiser Fung announces a new educational venture he’s created, a bootcamp (12-week full-time in-person program with a curriculum) of short courses with a goal of getting people their first job in an analytics role for a business unit (not engineering or software development, so he is not competing directly with MS Data Science or data science bootcamps). Their curriculum is deliberately designed to be broad but not deep.

I asked Kaiser if he had anything else he wanted to share, and he wrote:

I think our major differentiation from other bootcamps out there includes:

a. There are lots of jobs in these other business units outside engineering and software development. Hiring managers in marketing, operations, servicing, etc. are looking for the ability to interpret and reason with data, and use data to solve business problems. Our broad-based curriculum caters to this need.

b. I don’t believe that coding is the end-all of data science. Coding schools teach people how to code but knowing what to code is more important. Therefore, our curriculum covers R, Python, and machine learning but also statistical reasoning, survey design, Excel, intro to marketing, intro to finance, etc.

c. We provide quality through small class size, in-person instruction and instructors who are industry practitioners. The average instructor has 10 years of industry experience, and is in a director or higher level position. These instructors know what hiring managers want since they are hiring managers themselves.

d. We are building a diverse class. We take social scientists, designers as well as STEM people. We just require some exposure to programming concepts and data analyses, and a good college degree.

The post Kaiser Fung’s data analysis bootcamp appeared first on Statistical Modeling, Causal Inference, and Social Science.



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