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Pharma Data Analytics Course

Pharma Data Analytics Course
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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor of the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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