Tag Archives: how to analyze data from applications

Understanding Legacy Data in a Relational World

Data systems started being in use in the 1960s and 1970s, but these were flat systems, usually using IBM mainframes.

Understanding legacy data is necessary if you want to analyze datasets that are extracted from old systems. This knowledge is still relevant, as we still use these old systems today, as I discuss in my blog post.

Front-end Decisions Impact Back-end Data (and Your Data Science Experience!)

How the front-end and back-end are connected can impact how data are stored in the application. So if you extract the data, you can have data quality problems caused by the front-end.

Front-end decisions are made when applications are designed. They are even made when you design a survey in SurveyMonkey. What health data analysts often don’t realize is that these decisions have a profound impact on the quality and accuracy of the data that are collected through these front-ends, which is the focus of this blog […]

Applications Basics for Data Analysts and Statisticians

Many people trained in healthcare and public health do not know much about applications.

Applications basics are now essential knowledge if you want to do data science in healthcare. Get a crash course in applications basics!

Announcing my New(-ish) Data Curation Course on LinkedIn Learning!

Data curation is an important skill to learn if you want to manage a data science team.

Curation files are especially helpful for communicating about data on teams. Learn more about what you’ll learn when you take my online LinkedIn Learning data curation course!

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