Pharma Data Analytics Course
Master pharma data analytics to boost quality, reduce rejects, and improve patient safety. Learn to clean production data, run SPC, KPIs, and hypothesis tests, build dashboards, and turn manufacturing signals into compliant, data-driven decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Pharma Data Analytics Course gives you practical skills to turn production and quality data into clear, actionable insights. Learn to clean and structure batch records, calculate key KPIs, run descriptive and statistical analyses, apply root cause tools, and design improvement experiments. You also explore dashboards, reporting best practices, and regulatory-focused data governance using real-world tools like SQL, Python, and R.
Elevify advantages
Develop skills
- Pharma production data literacy: read batch, quality, and time-series records fast.
- Data cleaning for pharma: fix missing, outliers, and errors for trusted analytics.
- SPC and root cause analysis: use control charts and 5 Whys to cut variability.
- Hypothesis testing in manufacturing: run ANOVA, regression, and impact checks.
- Pharma-ready dashboards and reports: monitor KPIs and brief quality stakeholders.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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