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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:
• 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.
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
Show info about module content
3 videos•Total 12 minutes
Why Date Standardization Saves Lives in Healthcare•3 minutes
Essential Text Functions: TEXT, VALUE, and SUBSTITUTE•7 minutes
Excel Text Functions for Healthcare Date Standardization•10 minutes
2 assignments•Total 23 minutes
Healthcare Date Standardization Challenge•15 minutes
Text Functions for Date Formatting Assessment•8 minutes
Module 2: Analyze Datasets for Duplicate Removal
Module 2•1 hour to complete
Module details
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
Show info about module content
2 videos•Total 14 minutes
COUNTIF Functions and Conditional Formatting for Duplicate Detection•8 minutes
Step-by-Step Duplicate Detection in Patient Records•6 minutes
1 reading•Total 10 minutes
Excel Duplicate Analysis Techniques for Healthcare Data•10 minutes
1 assignment•Total 7 minutes
Duplicate Record Analysis and Removal Knowledge Check•7 minutes
1 ungraded lab•Total 15 minutes
Healthcare Patient Data: Duplicate Record Detection & Quality Assurance•15 minutes
Module 3: Apply Lookup Functions for Data Retrieval
Module 3•1 hour to complete
Module details
What's included
1 video2 readings3 assignments
Show info about module content
1 video•Total 3 minutes
When Missing Reference Data Delayed Critical Care•3 minutes
2 readings•Total 18 minutes
Healthcare Data Integration with Excel Lookup Functions•10 minutes
Integrating Patient Records with Medication Reference Data•8 minutes
3 assignments•Total 28 minutes
Healthcare Data Analytics Final Assessment
•10 minutes
Clinical Reference Integration Project•15 minutes
Excel Lookup Functions for Data Retrieval Knowledge Check•3 minutes
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.