5 min read
Most publicly available datasets or datasets at the workplace are complete. However, from time to time we encounter datasets where some or many entries are missing. The problem of missing data exists on a spectrum; only a few entries missing among millions is virtually negligible, however, upwards of 10% of missing data can be crippling.
The exact problem of missing data contains multiple layers, so let us proceed to peel it like the onion it is. At its most basic, enough missing data may skew the distribution(s) the data follows.
Topics: tips coding data science
4 min read
Meet Josh Panknin, a banker in his mid 30's who took time off from Deutsche Bank in order to study at Byte Academy, the first ever FinTech coding bootcamp and perhaps still the only in the world. Here, Josh explains why he took a break from Wall Street, the effects of technology and big data on finance, and, what learning to code is like when you don't want to be a programmer. He also gives advice to those who may want to follow in his footsteps.