Short Course

Pharmaceutical Data Analysis

Location
On-Campus & Online
Duration
30 Training Hours

The Pharmaceutical Data Analysis program is a 30-hour practical course designed for pharmacy students and graduates, pharmacists, pharmaceutical industry professionals, and medical researchers. Participants will learn to organize, analyze, and visualize pharmaceutical data using Excel, SPSS, Power BI, and AI tools. Through hands-on training and a final project, the program develops practical skills in statistical analysis, interactive dashboards, and data-driven decision-making for pharmaceutical and healthcare applications.

Training Hours
Credential

Credential

NU Certificate

Location

Location

On-Campus
& Online

Language

Language

English
(Arabic Support)

Program overview

This is an integrated, hands-on training program designed to develop participants’ ability to organize, prepare, and analyze pharmaceutical data using Microsoft Excel and IBM SPSS, and then transform analytical results into interactive information dashboards and visualizations using Microsoft Power BI. Artificial intelligence tools are also incorporated to support data analysis and the interpretation of results. The program emphasizes linking Excel with Power BI to generate continuously updated insights and analyses, and applying the acquired skills to realistic data and situations in the pharmaceutical field. 

What You Will Learn

Understand the fundamental concepts of data analysis in the pharmaceutical context.

Organize pharmaceutical datasets and prepare them for analysis.

Apply data-cleaning procedures and handle missing values and common errors.

Use Microsoft Excel to enter, organize, and analyze data, and create tables and charts.

Select the appropriate statistical test according to the nature of the data and the research question.

Conduct appropriate statistical analyses using IBM SPSS and interpret the outputs.

Create clear visualizations suited to the nature of pharmaceutical data.

Connect Excel data to Microsoft Power BI and prepare it for analysis and interactive presentation.

Design interactive dashboards to display performance indicators and results.

Use Power BI to analyze trends and indicators and monitor updated data.

Use artificial intelligence tools responsibly to support data analysis and interpretation.

Apply the acquired skills in an integrated project based on real or simulated pharmaceutical data.

Timeline

Day 1: Introduction to Pharmaceutical Data Analysis

Day 2: Data Preparation and Cleaning Using Excel

Day 3: Descriptive Analysis of Pharmaceutical Data

Day 4: Statistical Analysis Using SPSS

Day 5: Data Visualization

Day 6: Business Intelligence Using Power BI

Day 7: Linking Excel and Power BI

Day 8: Artificial Intelligence in Data Analysis

Day 9: Pharmaceutical Applications and Case Studies

Day 10: Practical Project and Final Evaluation

Who Is This For

Designed for Pharmacy and Healthcare Professionals Ready to Turn Data into Insights

This program is designed for pharmacy students, healthcare professionals, pharmaceutical industry specialists, and researchers who want to develop practical data analysis skills. Whether you're working with clinical research, drug safety data, pharmaceutical sales, or healthcare performance indicators, the program equips you with the tools to analyze complex datasets, create interactive dashboards, and make informed, data-driven decisions.

Pharmacy Students & Graduates

Pharmacy students and recent graduates who want to develop practical skills in Excel, SPSS, Power BI, and AI-powered data analysis to expand their career opportunities in the pharmaceutical industry.

Pharmacists & Healthcare Professionals

Pharmacists working in pharmacies, hospitals, and healthcare facilities who want to analyze medication data, monitor drug safety, and improve operational and clinical decision-making.

Pharmaceutical Industry Professionals

Employees in pharmaceutical companies, including sales, inventory, quality, and business operations teams, who want to analyze performance indicators, identify trends, and create interactive dashboards.

Medical & Pharmaceutical Researchers

Researchers, postgraduate students, and academic professionals who want to apply statistical analysis, data visualization, and AI-assisted tools to pharmaceutical studies, clinical trials, and scientific research.