Descriptive Statistics – Initial Evaluation of the Data

(Complete Table of Contents here: http://aka.ms/backyarddatascience) Species: Population, Sample, Count, Spread, Mean, Median, Mode, Basic Visualizations The most important part of data analysis is a thorough understanding of the data we're looking at. Once we've verified what the source of the data actually means (another entry in the Data Science Notebook entirely) and that we … Continue reading Descriptive Statistics – Initial Evaluation of the Data

The (Amateur) Data Science Body of Knowledge

(Complete Table of Contents here: http://aka.ms/backyarddatascience) Catalog With a format for learning to be an Amateur Data Scientist established and a firm understanding of how you learn, it's time to focus on what to learn. There are no shortages of Internet posts, magazine articles, or college syllabi describing what a "Data Scientist" should know. I … Continue reading The (Amateur) Data Science Body of Knowledge

Prepping for learning Data Science

(Complete Table of Contents here: http://aka.ms/backyarddatascience) Journal Entry In the September 2015 issue of the Communications of the ACM magazine, there is an article on the Automated Education and the Professional - highly recommended reading. It feeds in nicely to our journey in learning Data Science. The article covers the conflict between traditional college-degree education … Continue reading Prepping for learning Data Science

The “Field Notebook” for Data Science

(Complete Table of Contents here: http://aka.ms/backyarddatascience) I mentioned in my previous post that I'm learning to work as an "Amateur Data Scientist", and I'm sharing my learning here on this site. I'm formatting my entries as a series of Field Notes, in the (more or less) formal sense. I'm taking the information I have found … Continue reading The “Field Notebook” for Data Science