Data Analysis for Pharma Professionals From Fundamentals to Impact
Organization
About This Course
Data Analysis for Pharma Professionals
Transform pharma data into decisions that drive growth.
Course Overview
Pharma is increasingly data-driven—so the professionals who can read numbers, spot patterns, and explain “what to do next” are the ones who stand out. This course helps you confidently analyze real pharmaceutical data and translate it into clear, actionable insights.
Across 12 structured sessions over 6 weeks—with hands-on practical training starting from Session 3—you’ll build practical skills in Excel, Power BI, and pharma-ready frameworks for KPIs, forecasting, and decision-making. All sessions are recorded so you can learn at your pace and revisit anytime.
Learning Outcomes
By the end of this course, you’ll be able to:
- Apply analytical thinking and business frameworks specific to pharma
- Understand and track key pharma business metrics and KPIs
- Perform sales analysis, market coverage, dynamics, and growth indicators
- Build forecasting models using moving averages
- Use exponential smoothing and regression for advanced forecasting
- Forecast trends and seasonality in pharma markets
- Use essential and advanced Excel functions for pharma work
- Master Pivot Tables, Power Query, Power Pivot, and DAX
- Create clear dashboards and stories using Power BI
- Explore AI-driven pharma analytics and advanced Power BI
- Practice through real pharma sales & marketing case studies
Outcome: Present insights with confidence—clearly, professionally, and backed by numbers.
Course Agenda (12 Sessions)
Analytical thinking principles and business frameworks for pharma.
Sales analysis, market coverage, dynamics, and growth indicators.
Foundational forecasting using moving average techniques.
Stronger prediction methods for pharma performance.
Model trends and seasonal patterns in pharma data.
Core Excel skills for pharma analysis.
Summarize complex data fast and accurately.
Transform and clean data efficiently.
Data modeling + advanced calculations.
Create dashboards decision-makers understand.
Advanced features + AI-driven insights.
Apply everything on realistic pharma scenarios.
Who Should Attend?
This course is designed for:
- Pharmaceutical sales representatives and managers
- Marketing professionals in pharmaceutical companies
- Medical Affairs professionals seeking analytical skills
- Business analysts in the pharmaceutical industry
- Product managers and brand managers
- Healthcare professionals transitioning to pharma business roles
- Anyone who wants to upgrade pharma data skills
Instructor
Instructor
Dr. Abdullah Alshawadfy Mohamed
Founder & CEO of Synaptic Analysis — expertise in Pharma Marketing and Data Analytics.
Why Enroll?
- Practical, pharma-specific analysis skills you can use immediately
- Master Excel, Power Query, Power Pivot, DAX, and Power BI
- Forecast sales and market movement using pharma-ready methods
- Understand KPIs and translate them into clear decisions
- Real case studies + hands-on practice from Session 3
- Recorded sessions for flexible learning and revision
- Strengthen your profile with high-demand analytical skills
- ARACME-accredited professional development
Bottom line: Stop guessing and start presenting insights stakeholders trust.
Social Proof
I used the KPI and forecasting approach immediately in my reporting workflow. Clear explanation and strong examples.
— Ahmed Mohamed, Pharma Marketing
The dashboards became easier to build and much easier to explain to my manager.
— Mohamed Ibrahim, Sales Team
The sessions are organized and the recordings made it easy to revise when I got busy.
— Amir Mohamed, Medical Affairs
Pricing
Limited-time offer—secure your spot and get full access to the 12-session program (including recordings).
Full Course Access
450 SAR- 12 live sessions (6 weeks)
- Recorded sessions (watch anytime)
- Hands-on practice starting from Session 3
- Templates + practice files
- ARACME accredited
*Update this section if you have seat limits, deadlines, invoices, or installments.
Course Details
Data Analysis for Pharma Professionals
Friday, January 16, 2026
6 Weeks (12 Sessions)
Fridays & Saturdays, 2 sessions per week
2 hours each
Online with Recorded Sessions
ARACME
Practical exercises starting from Session 3
Contact
Have a question before you enroll? Message us and we’ll reply quickly.
01012395034
Info@TebZone.com
Curriculum Overview
This course includes 0 modules, 0 lessons, and 0 hours of materials.
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Course Specifications
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