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APLD &
Claims Analytics
Master APLD pharma datasets, Xponent, SP & claims analytics. Learn patient journeys, adherence metrics, and KPI reporting to excel in pharmaceutical analytics.
APLD & Claims Analytics
12
Live Sessions
6
Exercises
6–8
Weeks
1
Certificate
Downloadable Learning Material
Assignments & Evaluations
Access on Mobile & Desktop
Course Overview
This course covers a wide scope — from detailed therapeutic area and US market understanding to the differences between APLD, claims, and other US datasets. It details various standard and adhoc KPIs with real-world use cases including patient journeys, persistency curves, SOBs, LOTs, and adherence rates.
Learn to interpret APLD, claims, and US pharma datasets including Xponent, DDD, and SP to support commercial analysis and reporting.
Develop standard and adhoc KPI frameworks, patient journey mapping, and adherence metrics used across analytics teams.
Understand the full US pharma ecosystem — from HCP universes to territory mapping — with hands-on exercises and real datasets.
What You'll Learn
01
Detailed understanding of Rx, TRx, NRx, NBRx and other terminologies
02
Understanding and difference between APLD, claims and other US datasets including Xponent, DDD, SP etc
03
Use cases and applications of different datasets
04
Major stakeholders and their interactions along with use case applications
05
Zip to Territory mapping and HCP universe understanding
06
Standard KPI and Adhoc KPIs reporting and analysis
07
Detailed creation of Patient journeys, persistency curves, LOT, SOB etc
08
Learning course on Machine Learning, Basic statistical understanding
09
Understanding of US Ecosystem and DDD datasets
The Course Includes
12 Live Interactive Sessions
Expert-led live training
5 Hands-on Exercises
Practical skill building
Downloadable Material
Study at your pace
Assignments and Evaluations
Track your progress
Access on Mobile and Desktop
Learn anywhere, anytime
Certificate on Completion
Industry recognition
Take the Next Step in
Your Pharma Analytics Journey
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