Course / Course Details
.png)
By - Ashish Modi
This comprehensive course is designed to equip participants with the specialized knowledge and practical skills required for effective pharmaceutical forecasting within specific therapy areas. Recognizing the complexities of the pharmaceutical landscape, the curriculum integrates industry-leading forecasting models, evidence-based methodologies, and hands-on case studies to develop expertise in market sizing, demand estimation, and strategic planning for both established and emerging therapies.
Understand the Fundamentals: Grasp the core principles of pharmaceutical forecasting, including the unique challenges and drivers within various therapy areas such as oncology, cardiology, and rare diseases.
Master Forecasting Techniques: Learn to apply epi-based, patient-based, and sales-based models, leveraging real-world data and statistical approaches to generate robust forecasts.
Market Access Integration: Explore how factors like reimbursement, pricing, and regulatory pathways impact forecast accuracy and market potential.
Scenario Planning: Build scenario-based models using advanced Excel techniques and Monte Carlo simulations to address uncertainty and variability in therapy area dynamics.
Data-Driven Decision Making: Develop the ability to analyze epidemiological data, patient flow, and competitive landscapes to inform strategic business decisions.
Embrace Innovation: Examine the impact of artificial intelligence, big data, and new technologies on forecasting processes and outcomes.
Interactive e-learning modules and live expert sessions
Real-life case-based simulations and practical exercises
Flexible online access for self-paced learning
Final assessment and certification upon completion
This course is ideal for pharmaceutical professionals in commercial analytics, brand management, business intelligence, and market access roles seeking to enhance their forecasting acumen and drive successful product strategies in complex therapy areas
Upon completion of this course on Pharma Forecasting – Therapy Area Knowledge, learners will emerge with a robust set of competencies that are highly valued in the pharmaceutical industry. Participants will be able to confidently apply advanced forecasting techniques tailored to specific therapy areas, enabling them to generate accurate, data-driven projections for both pipeline and in-market products. They will gain the ability to critically evaluate epidemiological and market data, synthesize insights from diverse sources, and translate complex datasets into actionable business intelligence.
Learners will develop a nuanced understanding of how clinical, regulatory, and market access factors influence product uptake and sales trajectories within different therapy areas. This expertise will empower them to anticipate shifts in market dynamics, assess competitive threats, and identify growth opportunities. Through hands-on case studies and real-world simulations, participants will refine their skills in scenario planning, risk assessment, and stakeholder communication—key capabilities for supporting strategic decision-making and cross-functional collaboration.
Graduates of the course will be proficient in using industry-standard tools and methodologies, including patient flow modeling, Monte Carlo simulations, and advanced Excel-based forecasting. They will also be prepared to leverage emerging technologies such as artificial intelligence and big data analytics to enhance forecast accuracy and efficiency. Overall, learners will be equipped to contribute meaningfully to commercial analytics, brand planning, and business intelligence teams, positioning themselves as valuable assets for organizations navigating the complexities of pharmaceutical markets
With over 7 years of experience specialising in pharmaceutical forecasting, Ashish works closely with client teams to address key forecasting challenges, from drug acquisition valuations to long-term portfolio planning.
His expertise spans the full forecasting lifecycle, from designing patient funnels and developing models to presenting findings to executives. He also has an extensive experience in implementing cloud-based forecasting solutions at pharmaceuticals to enhance their overall process.
No Review found
Beginner
Discover Additional Learning Opportunities
