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Pharma Data Analytics Course

Pharma Data Analytics Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

The Pharma Data Analytics Course provides practical skills to transform production and quality data into clear, actionable insights. Learn to clean and structure batch records, calculate key KPIs, perform 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 quickly.
  • Data cleaning for pharma: fix missing values, outliers, and errors for reliable analytics.
  • SPC and root cause analysis: use control charts and 5 Whys to reduce variability.
  • Hypothesis testing in manufacturing: perform ANOVA, regression, and impact assessments.
  • Pharma-ready dashboards and reports: monitor KPIs and inform 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.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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