Pharma Data Analytics Course
This course provides hands-on training in analyzing pharmaceutical production and quality data using SQL, Python, and R to drive insights, ensure compliance, and optimize processes.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Pharmaceutical Data Analytics Course equips you with practical skills to transform production and quality data into clear, actionable insights. You will learn to clean and organise batch records, compute key performance indicators, perform descriptive and statistical analyses, apply root cause analysis tools, and design improvement experiments. Additionally, you will explore dashboards, reporting best practices, and regulatory-focused data governance using real-world tools such as SQL, Python, and R.
Elevify advantages
Develop skills
- Pharmaceutical production data literacy: quickly read batch, quality, and time-series records.
- Data cleaning for pharmaceuticals: correct missing values, outliers, and errors for reliable analytics.
- Statistical process control and root cause analysis: apply control charts and 5 Whys to reduce variability.
- Hypothesis testing in manufacturing: conduct ANOVA, regression, and impact assessments.
- Pharmaceutical-ready dashboards and reports: track KPIs and inform quality stakeholders.
Suggested summary
Before starting, you can change the chapters and 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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