Data Mining and Exploration: From Traditional Statistics to Modern Data Science

Helps readers to transition from traditional statistics to modern data science

Reviews the pros and cons of open source and commercial software packages, and their proper applications in specific situations.

Explores data using dynamic methods rather than counting on dichotomous thinking.

Considers alternate models using ensemble models and model comparison rather than fixing a preconceived hypothesis/model on a single method.

Shows how to find the hidden pattern in the data by dynamic visualization rather than over-relying on numeric results.