datapine

JANUARY 6, 2022

In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

MAY 14, 2019

Best for: Budding ‘R’ users and those looking to improve their overall programming talents and analytical skills as well as peruse the intricate nuances of this invaluable data-driven language. 6) “The Signal And The Noise: Why So Many Predictions Fail – But Some Don’t” by Nate Silver. click for book source**.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Occam's Razor

MARCH 12, 2012

Clickstream + qualitative data + rigorous statistical analysis of outcomes + deep mining of data from competitive intelligence sources + rapid experiments + more. Here's the "bigger web analytics data" picture from 2007… Multiplicity! If we don't answer all those hows big data will be a big disappointment.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Those workflows would feedback into your business analytics.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109