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Transform, Analyze, & Healthcare Data

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.
Duration 6 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $92
Total Est. Investment $92

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Transform, Analyze, & Healthcare Data program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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