Transform, Analyze, & Healthcare Data

Overview

Healthcare professionals are drowning in data, but few know how to transform it into life-saving insights. This Short Course was created to help data analysts accomplish the critical task of preparing clean, reliable healthcare datasets that drive informed clinical decisions. By completing this course, you'll be able to standardize date formats across patient admission records, eliminate dangerous duplicate entries that could compromise care quality, and seamlessly merge clinical codes with reference tables to create comprehensive patient profiles that healthcare teams can trust. By the end of this course, you will be able to: • Apply text functions to reformat date values into a standard format • Analyze datasets to identify and remove duplicate records • Apply lookup functions to retrieve data from a reference table This course is unique because it focuses specifically on Excel-based healthcare data scenarios that mirror real clinical environments, using authentic medical datasets and industry-standard formatting challenges that you'll encounter in practice. To be successful in this project, you should have a background in basic Excel operations and familiarity with healthcare data concepts.

Syllabus

Module 1: Apply Text Functions for Date Formatting

Learners will master Excel text functions to standardize date formats in healthcare datasets, ensuring data consistency critical for patient safety and clinical decision-making.

Module 2: Analyze Datasets for Duplicate Removal

Learners will systematically identify and eliminate duplicate patient records using Excel analysis techniques, ensuring data integrity critical for patient safety and accurate clinical reporting.