Pharma Data Analytics Course
4/5
This course equips you with essential pharma data analytics skills to enhance quality control, minimise rejects, and ensure patient safety. You will learn to clean and analyse production data, apply SPC and KPIs, conduct hypothesis testing, develop dashboards, and make compliant data-driven decisions in manufacturing environments.

4.0 in the evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain hands-on skills to transform pharmaceutical production and quality data into actionable insights. Master cleaning batch records, computing KPIs, performing descriptive and statistical analyses, using root cause methods, designing experiments, and creating dashboards with SQL, Python, and R while following regulatory standards.
Elevify advantages
Develop skills
- Pharma production data literacy: quickly interpret batch, quality, and time-series records.
- Data cleaning for pharma: correct missing values, outliers, and errors for reliable analysis.
- SPC and root cause analysis: apply control charts and 5 Whys to reduce process variability.
- Hypothesis testing in manufacturing: perform ANOVA, regression, and impact assessments.
- Pharma-ready dashboards and reports: track KPIs and communicate effectively with quality teams.
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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