Machine Learning and AI Skills Gaps in MPH Training
Job postings want Python and machine learning; your MPH taught SAS. What employers actually need and how to close the data science gap strategically.
Technical Skills
7 articles to help with your MPH practicum
Practicum sites assume technical skills that MPH coursework may not have covered: advanced Excel, statistical software, REDCap, GIS mapping, database navigation, data cleaning, even machine-learning literacy. These articles help students close specific tool gaps quickly and honestly while contributing real work.
REDCap and Survey Tool Learning Curves
Wrestling with REDCap branching logic while your practicum timeline slips? Practical ways to climb survey tool learning curves without the panic.
Database Navigation Without Training or a Manual
Handed logins to a database you've never seen, with no manual? Practical tactics for learning unfamiliar systems fast without costly query errors.
GIS and Mapping Software: Climbing the Steep Learning Curve
Your practicum expects real GIS work, but one intro mapping course didn't prepare you. Targeted strategies to build spatial analysis skills fast.
The Excel Confidence Gap for MPH Students
That sinking moment when 'I know Excel' meets pivot tables and nested IFs. Close the skills gap fast with functions public health work demands.
Data Cleaning and Management Mysteries
Real public health data is messy in ways coursework never showed you. Get a systematic cleaning process that turns chaos into analysis-ready files.
Statistical Software Proficiency Panic
Your site expects SAS or R skills your program never taught. Get a focused plan to build just-enough proficiency without derailing your practicum work.
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