Pharma Data Analytics Course
This course equips you with expertise in pharmaceutical data analytics to enhance quality control, minimise rejects, and ensure patient safety. You will learn to prepare production data, perform statistical process control, compute key performance indicators, conduct hypothesis testing, develop interactive dashboards, and derive compliant decisions from manufacturing data insights.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Acquire hands-on skills to convert pharmaceutical production and quality data into actionable insights. Master data cleaning, batch record structuring, KPI computation, descriptive and statistical analysis, root cause techniques, and experimental design for improvements. Delve into dashboard creation, reporting standards, and regulatory data governance with tools such as SQL, Python, and R.
Elevify advantages
Develop skills
- Pharma production data proficiency: swiftly interpret batch, quality, and time-series records.
- Pharma data cleansing techniques: address missing values, outliers, and errors for reliable analysis.
- Statistical process control and root cause methods: apply control charts and 5 Whys to reduce variability.
- Hypothesis testing for manufacturing: execute ANOVA, regression, and impact assessments.
- Pharma-specific dashboards and reports: track KPIs and communicate effectively with quality teams.
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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