For any data project, collecting the needed facts requires research and placing into a file. Most times, this means either a spreadsheet or

Our March event was successful with a group of attendees on the webinar platform. Session was 30-minutes

There are four types of analytics: Descriptive, Diagnostic, Prescriptive, and Predictive. Selecting the right type requires knowledge...

The April Newsletter for Sarah Mason Consulting LLC is published. Sign-up on the site for our contact list or Gold Plan. Events added...

Inside News for March 2022

Why is Nutrition Important? The importance of nutrition in health promotion cannot be overstated.

Continuous Improvement is a method of restarting the cycle to review, find change...

Inside Dataology Newsletter for February is available and Inside Dataology has its own domain, www.insidedataology.com!

Sleep is an important and overlooked part of Health. Have you ever tracked your sleep, or wondered about how much sleep you need?

Creating a plan, or mapping a project lifecycle, needs critical thinking in HealthTech which means analytics.

Social Determinants contribute to health and disease in a population using analytics by quantifying lifestyle factors, food, exercise.

Relational databases are structured like a table with rows and columns. Viewing data requires Schema for record retrieval.

Issues in Public Health? Obesity is a concern with minority populations. An analysis of the facts.

Databases come in two types, Relational Database or Non-Relational Databases. Relational Databases have set relationships between entities.

Descriptive statistics are the present state of data in a dataset. Learn from tips for performing in R, Python, and Microsoft Excel.

Preprocessing is an important part of any data-related task. Here are some examples of how to create good usable data from dirty data.

Learn the basics of data ingestion, how it’s different than processing, and why each is critical to your analytics success.