Science research and laboratory foundations
You will learn to turn a vague request into a scoped analysis brief, define the decision, identify the grain and owner of each field, and produce a first usable…
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Science research and laboratory foundations
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About this course
You will learn to turn a vague request into a scoped analysis brief, define the decision, identify the grain and owner of each field, and produce a first usable metric table before the fifth minute. You will build a repeatable cleaning and validation routine for collections, CRM, measurement, finance, and operational healthcare reporting data, including date rules, duplicate keys, joins, nulls, and reconciliation before a result reaches a dashboard. You will move from a validated table to exploratory analysis: build fair rates, compare cohorts, inspect distributions and outliers, separate correlation from causation, and communicate uncertainty in collections, CRM, measurement, finance, and operational BI. You will design a decision-ready dashboard, choose visuals that preserve definitions and denominators, add data-quality status and annotations, write an executive narrative, and run a handoff that lets a business owner act without misreading the evidence. You will turn analysis into a decision memo, manage review and handoff, communicate with data owners and non-technical partners, protect sensitive operational information, prepare for interviews, and plan a credible first thirty days in an analyst role.
What you'll learn
- Separate a decision question from a request for a chart or a number.
- Write a small data dictionary with grain, time window, owner, and quality caveats.
- Explain a first finding without overstating what the data proves.
- Profile rows, columns, keys, dates, nulls, and category values before analysis.
- Join tables without silently multiplying accounts, events, payments, or appointments.
- Record validation evidence, exceptions, and an owner for every material data issue.
- Choose comparisons that respect denominator, exposure, timing, and population differences.
Roles this course opens up
Typical job titles that ask for this skill.
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