-
Book review: Whiplash by Joi Ito and Jeff Howe
Talking about the rate of change in our society has transcended being a statement of fact to being something of a cliché. Never the less, technical and societal changes are forcing us to regularly ask deep questions about how to…
-
A brief overview of SQL’s SELECT statement
One of the first steps in any data science project is to acquire and analyze the raw data. Since this data will commonly be stored in databases, understanding Structured Query Language (SQL) will enable you to get the data you…
-
The Cross-Industry Standard Process for Data Mining
While analysis tools and algorithms have evolved at a rapid pace, the overall business process for analytics has remained remarkably stable. One seminal work on the analytic process is IBM’s Cross-Industry Standard Process for Data Mining (CRISP-DM). At over 20…
-
Supporting skills for data science: relational databases & SQL
A successful data scientist needs to draw on skills from many disciplines, and one of the core skill sets is knowledge of relational databases and querying using structured query language (SQL). Relational databases are the most common way to store…
-
4 personality traits to look for when hiring a data scientist
Hiring is one of the most challenging tasks in a manager’s portfolio. Selecting individuals for a long-term commitment based on a few comparatively short interviews and conversations is not easy. Luckily, there are a number of personality traits to look…
-
Sending email from Outlook in R
When setting up automated reporting workflows, a key component is distributing the report to the various stakeholders so they can review it. One useful technique is to send a “push notification” by email to alert everyone that a report or…