Transform, Analyze, & Healthcare Data
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Transform, Analyze, & Healthcare Data
This course is part of Basics of Healthcare Data Analytics: Boost Patient Outcomes Specialization
Instructor: Hurix Digital
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What you'll learn
Data standardization protects patient safety by preventing errors caused by inconsistent dates and duplicate records.
Systematic data cleaning with Excel functions builds reliable datasets for healthcare analytics and clinical decisions.
Lookup functions integrate data across systems, creating complete patient views that enhance care coordination.
Strong healthcare analytics starts with mastering core data manipulation before moving to advanced analysis.
Skills you'll gain
Tools you'll learn
Details to know
February 2026
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There are 3 modules in this course
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: β’ Apply text functions to reformat date values into a standard format β’ Analyze datasets to identify and remove duplicate records β’ 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.
Learners will master Excel text functions to standardize date formats in healthcare datasets, ensuring data consistency critical for patient safety and clinical decision-making.
What's included
3 videos1 reading2 assignments
3 videosβ’Total 12 minutes
- Why Date Standardization Saves Lives in Healthcareβ’3 minutes
- Essential Text Functions: TEXT, VALUE, and SUBSTITUTEβ’7 minutes
- Standardizing Patient Admission Dates Step-by-Stepβ’3 minutes
1 readingβ’Total 10 minutes
- Excel Text Functions for Healthcare Date Standardizationβ’10 minutes
2 assignmentsβ’Total 23 minutes
- Healthcare Date Standardization Challengeβ’15 minutes
- Text Functions for Date Formatting Assessmentβ’8 minutes
Learners will systematically identify and eliminate duplicate patient records using Excel analysis techniques, ensuring data integrity critical for patient safety and accurate clinical reporting.
What's included
2 videos1 reading1 assignment1 ungraded lab
2 videosβ’Total 14 minutes
- COUNTIF Functions and Conditional Formatting for Duplicate Detectionβ’8 minutes
- Step-by-Step Duplicate Detection in Patient Recordsβ’6 minutes
1 readingβ’Total 10 minutes
- Excel Duplicate Analysis Techniques for Healthcare Dataβ’10 minutes
1 assignmentβ’Total 7 minutes
- Duplicate Record Analysis and Removal Knowledge Checkβ’7 minutes
1 ungraded labβ’Total 15 minutes
- Healthcare Patient Data: Duplicate Record Detection & Quality Assuranceβ’15 minutes
What's included
1 video2 readings3 assignments
1 videoβ’Total 3 minutes
- When Missing Reference Data Delayed Critical Careβ’3 minutes
2 readingsβ’Total 18 minutes
- Healthcare Data Integration with Excel Lookup Functionsβ’10 minutes
- Integrating Patient Records with Medication Reference Dataβ’8 minutes
3 assignmentsβ’Total 28 minutes
- Clinical Reference Integration Projectβ’15 minutes
- Excel Lookup Functions for Data Retrieval Knowledge Checkβ’3 minutes
- Healthcare Data Analytics Final Assessment β’10 minutes
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