I'm pleased to announce that my part in writing my book, Data Smart, is pretty much done. Phew! So that took about 8 full months to write. It's got 10 very thorough chapters on aspects of data science -- if you ever wondered how a Big M constraint in optimization is like a dead squirrel or how Megaman X is related to naive Bayes then this book is for you. The book will come out October 28, so preorder now. And if you'd like a sample chapter, just sign up for my newsletter, and I'll send you one shortly.
So! Everything is turned in, edited, spreadsheets are checked, R code is checked. I've even assembled a playlist to go along with the middle school dance floor clustering tutorial.
So! Everything is turned in, edited, spreadsheets are checked, R code is checked. I've even assembled a playlist to go along with the middle school dance floor clustering tutorial.
Yeah, I drew a middle school dance in photoshop just for you. Like my parquet floor?
Now that my work is done, I thought I'd take a moment to reflect on the process of teaching data science and what it was like to use spreadsheets. I can honestly say that spreadsheets were a really nice way to teach data science concepts while at times also being slightly frustrating. What made spreadsheets so great for Data Smart?
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