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SAS, R, and Python for Analytics

Click to learn more about author Steve Miller. I did a short consulting gig last year with a company that was building an analytic app driven largely from a web-based data repository. The data were stored as a collection of SAS data sets which “customers” would subset by uploading SAS data step and proc SQL […]

JupyterCon and Data Science Analysis 2017

Click to learn more about author Steve Miller. The inaugural JupyterCon is now in the books. A larger-than-expected  turnout of 700 data scientists, business analysts, researchers, educators, developers, core Project contributors, and tool creators descended on NYC  August 22-25 for in-depth training, insightful keynotes, networking events, and practical talks exploring the Project Jupyter platform. Jupyter […]

Pragmatic Polyglot Data Analysis

Click to learn more about author Steve Miller. Yesterday was a pretty fast-paced day for me in New York. In the morning I took a walk from my midtown hotel to the Koch Queensboro Bridge (Simon and Garfunkel fans will know it as the 59th St Bridge) where I ducked speedy bicyclists crossing over and […]

Data Science Birds of a Feather

Click to learn more about author Steve Miller. I had lunch with Diego Klabjan the other day. Diego’s a professor of Industrial Engineering and Management Sciences at Northwestern University and progenitor/director of the now five year old Master of Science in Analytics (MSIA) program at the school. MSIA was recently rated one of the top […]

Data Exploration in R – Part I

With the analytics work I’ve been involved with over the last 15 years, I estimate that 70% of the effort has been devoted to data access/integration/wrangling/curation, about 20% focused on data exploration, and the remaining 10% fitting algorithms/models. SQL and the open source platforms R and Python have been primary computation platforms, and now provide […]

Forecasting for prophet in R

Click to learn more about author Steve Miller. I ran across an R forecasting package recently, prophet, I hadn’t seen before. This isn’t surprising given the flood of new libraries now emerging in the R ecosystem. Developed by two Facebook Data Scientists, what struck me most about prophet was the alignment of its sweet spot […]

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