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Data Analysis for Pharma Professionals From Fundamentals to Impact

Data Analysis for Pharma Professionals From Fundamentals to Impact

Data Analysis for Pharma Professionals
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About This Course

Data Analysis for Pharma Professionals

Transform Data into Strategic Pharmaceutical Insights

Course Overview

The pharmaceutical industry is increasingly data-driven, requiring professionals who can transform raw data into actionable business insights. This comprehensive course equips pharmaceutical professionals with essential data analysis skills, from fundamental analytical thinking to advanced forecasting and visualization techniques.

Through 12 structured sessions over 6 weeks with hands-on practical training starting from Session 3, participants will master Excel, Power BI, and analytical frameworks tailored to pharma metrics, forecasting, and strategic decision-making. All sessions are recorded for flexible learning.

Learning Outcomes

By the end of this course, you'll learn:

  • Analytical thinking principles and business frameworks specific to pharmaceutical industry
  • Understanding and tracking key pharma business metrics and KPIs
  • Sales analysis, market coverage, dynamics, and growth indicators
  • Forecasting fundamentals using moving averages
  • Advanced forecasting techniques with exponential smoothing and regression
  • Trend and seasonality forecasting methods for pharma markets
  • Essential and advanced Excel functions for pharmaceutical data work
  • Pivot tables, Power Query, Power Pivot, and DAX for complex data manipulation
  • Data visualization and storytelling principles using Power BI
  • AI-driven pharmaceutical analytics and advanced Power BI techniques
  • Practical application through real pharma sales and marketing case studies

Start learning with clarity and confidence.

Course Agenda (12 Sessions)

Session 1: Introduction to Data Analysis for Pharma Professionals
Analytical thinking principles and business frameworks for pharmaceutical industry.
Session 2: Business Metrics & KPIs in Pharma
Sales analysis, market coverage, dynamics, and growth indicators.
Session 3: Forecasting Fundamentals & Moving Averages
Building foundational forecasting skills using moving average techniques.
Session 4: Advanced Forecasting Using Exponential Smoothing & Regression
Sophisticated forecasting methods for pharmaceutical market predictions.
Session 5: Trend & Seasonality Forecasting Techniques
Understanding and modeling trends and seasonal patterns in pharma data.
Session 6: Essential Excel Functions for Pharma Work
Core Excel skills for pharmaceutical data management and analysis.
Session 7: Advanced Excel – Pivot Tables
Mastering pivot tables for complex pharmaceutical data summarization.
Session 8: Advanced Excel – Power Query
Data transformation and preparation using Power Query.
Session 9: Advanced Excel – Power Pivot & DAX
Advanced data modeling and calculations with Power Pivot and DAX formulas.
Session 10: Data Visualization & Storytelling Using Power BI
Creating compelling visual narratives from pharmaceutical data.
Session 11: Advanced Power BI & AI-Driven Pharma Analytics
Leveraging AI capabilities and advanced features in Power BI for pharmaceutical insights.
Session 12: Pharma Case Studies (Sales & Marketing)
Real-world applications and case studies from pharmaceutical sales and marketing.

Who Should Attend?

This course is designed for:

  • Pharmaceutical sales representatives and managers
  • Marketing professionals in pharmaceutical companies
  • Medical Affairs seeking analytical skills
  • Business analysts in pharmaceutical industry
  • Product managers and brand managers
  • Healthcare professionals transitioning to pharmaceutical business roles
  • Anyone seeking to enhance data analysis capabilities in pharma sector

Speaker

Dr. Abdullah Alshawadfy Mohamed

Instructor

Dr. Abdullah Alshawadfy Mohamed

Founder & CEO of Synaptic Analysis – a leading expert in Pharma Marketing and Data Analytics.

Why Enroll?

  • Gain practical, industry-specific data analysis skills tailored to pharmaceutical business
  • Master essential tools: Excel, Power Query, Power Pivot, DAX, and Power BI
  • Learn forecasting techniques specific to pharma sales and market dynamics
  • Understand key pharmaceutical business metrics and KPIs
  • Apply learning through real pharma case studies and hands-on practical training
  • Access recorded sessions for flexible learning and review
  • Enhance career prospects with high-demand analytical capabilities
  • Access ARACME-accredited professional development
  • Benefit from early bird discounts up to 30%

If you're looking to transform your pharmaceutical career through data-driven decision-making and analytical excellence, this course offers comprehensive, practical training.

Enroll now and become a data-savvy pharma professional.

Course Details

Title:
Data Analysis for Pharma Professionals
Start Date:
Friday, January 16, 2026
Duration:
6 Weeks (12 Sessions)
Schedule:
Fridays & Saturdays, 2 sessions per week
Session Duration:
2 hours each
Format:
Online with Recorded Sessions
Accreditation:
ARACME
Hands-On Training:
Practical exercises starting from Session 3

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4 Courses
82 Students
Curriculum Overview

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Data Analysis for Pharma Professionals From Fundamentals to Impact
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This Course Includes

Course Specifications

Start Date
16 Jan 2026 | 09:00 pm
Sections
0
Lessons
0
Capacity
30 Students
Duration
2:01 Hours
Students
0
Created Date
25 Dec 2025
Updated Date
5 Jan 2026
Data Analysis for Pharma Professionals From Fundamentals to Impact
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Data Analysis for Pharma Professionals From Fundamentals to Impact