InstructorRoyed Training
TypeOnline Course
Student Enrolled17
Price$490 / 24500 INR.
Buy NowBook Now
Loading
Loading
pharma forecasting training

Introduction

Who should attend

Course Type

Course Deliverable

Features

Related Courses

About Pharma Forecasting

pharmaceutical forecasting models

This Pharma forecasting training will provide practical understanding about the pharmaceutical forecasting models, tools and techniques. Pharmaceutical forecasting training covers pharmaceutical and biopharmaceutical market sizing and forecasting models. Hence, this course will demonstrate sales forecasting skills for pharmaceutical and biopharmaceutical managers to be successful. In fact, this pharmaceutical forecasting course provides real life case based simulations for better understanding the complex issues of market and new product forecasting. As a result, it is easy for participants to understand the concepts. Moreover, cutting edge simulations help participants apply the knowledge in interactive real life simulation.

Above all, this pharma forecasting training course focuses on different forecasting techniques which are commonly used in industry. Also at the same time, the course provides in-depth understanding on evidence-based forecasting for innovators or similar biopharmaceuticals.

The course can be completed at any place. So, it allows the user to stop and start at their leisure. 

Moreover, user can access the course at own pace. It allows the user to stop and start at their leisure. 

  • Course Code: RYD-090
  • Title of the course: Advanced Certificate course on Pharma Forecasting (ACPF)
  • Nature of the course: Online distance learning course. Course can be accessed online across anywhere 24×7.
  • Duration: 1 Month
  • Certification: Course certificate will be provided at the end of the successful completion of the course.

Who should attend this pharma forecasting training?

  • Pricing, Market Access Professionals who want to learn about regional markets.
  • Pharma BD professionals who are working on market size, market expansion and new product launch etc.
  • Strategic planners who want to know where they might go next
  • Those who want insight into the way that markets influence each other
  • Anyone who wants to understand pharma brand forecasting methods and tools.
  1. Attend the course 24×7 by login to your dashboard. Therefore, one can attend lectures, simulation, self assessment tests and final certification examination online at own convenience.
  2. You will also be eligible to receive the course study modules, which you can download by login to your course page.

Pharma Forecasting Course Features

This pharma forecasting training utilizes 24×7 interactive learning tools to guide each participant through the various forecasting models. The course challenges students to apply what they have learned through the use of interactive exercises, reflection questions, expert live chat and a final assessment at the end of the course.

Important Learning Features: 

  • Online 24×7 access from anywhere. Hence, one can learn at your convenience.
  • The course provides timing flexibility. In other words, one can attend the lecture sessions at your own convenient time.
  • The course is build on interactive e-learning. Hence, it helps user to understand of the concepts effectively.
  • Above all, course provides simulation for real life working. Hence, it helps user to apply the decision making skill in real life scenarios.

Course Coverage Area

  • The pharma forecasting course provided comprehensive advanced understanding on forecasting models which are used in pharmaceutical industry.
  • Advance practical training in market sizing and forecasted sales.
  • Detailed training on forecasting models and techniques with practical case studies.
  • Training on excel based pharmaceutical and biopharmaceutical forecasting

Related Courses

Followings are the few of the similar courses, you may be interested in

Role and Responsibility of Pharma Forecasting Professionals

The role of a pharma forecaster is to analyze and predict trends, opportunities, and challenges in the pharmaceutical industry. Hence, they use various data sources, statistical models, and market research techniques to forecast future demand for pharmaceutical products and services. The insights provided by pharma forecasters help pharmaceutical companies, healthcare providers, and policymakers make informed decisions regarding drug development, production, distribution, and pricing.

Here are some specific responsibilities and tasks of a pharma forecaster:

Data Analysis

Pharma forecasters collect and analyze data related to market trends, patient demographics, disease prevalence, healthcare policies, and competitor activities. They use statistical techniques and software to identify patterns, correlations, and emerging trends.

Market Research

They conduct market research to gather information on new drugs, treatment protocols, regulatory changes, and patient preferences. This research helps in understanding market dynamics, competitive landscape, and potential barriers to entry.

Demand Forecasting

Using historical data, market research findings, and statistical models, pharma forecasters predict the future demand for pharmaceutical products. Therefore, this involves estimating the sales volume, market share, and revenue potential for specific drugs or therapeutic areas.

Scenario Planning

Above all, pharma forecasters develop scenarios and conduct sensitivity analysis to assess the impact of different factors on the pharmaceutical market. Hence, this helps companies prepare for various scenarios, such as changes in reimbursement policies, patent expirations, or entry of generic competitors.

Pricing and Reimbursement Analysis

Most importantly, pharma forecasting professionals analyze pricing strategies, reimbursement policies, and healthcare payer trends to understand the financial implications for pharmaceutical products. Hence, forecasting analysis helps in optimizing pricing and market access strategies.

Communication and Reporting

Pharma forecasters communicate their findings and recommendations to key stakeholders, such as executives, product managers, marketing teams, and regulatory bodies. So, they prepare reports, presentations, and visualizations to effectively communicate complex information and present to respective department stakeholders.

Overall, the role of a pharma forecaster is crucial in guiding strategic decision-making within the pharmaceutical industry. Hence, their insights and forecasts help pharmaceutical companies stay competitive, make informed investments, and adapt to the evolving market dynamics.

Section 1Forecasting - Models, Techniques (Core Sessions)
Lecture 1Sales Forecasting in Lifesceience industry
Lecture 2New Product Forecast algorithms
Lecture 3Patient Based Forecasting Model | Applying more filters and variables
Lecture 4Prescription Based Forecasting Model | Differences between Patient Based and Prescription Based Forecasting Model | Which model to use and when?
Lecture 5Prevalence Vs. Incidence Model
Lecture 6EPI Based Forecasting | Sales Based Forecasting | When and where to apply which forecasting model
Lecture 7Sales Forecasting Tools | New Product Forecasting | In Market Forecasting
Lecture 8Market Sizing Assignment 1 - Hands on Training
Lecture 9Market Size Assignment 2 [Asthma Brand] - Applying sales forecasting tools to carry out multiple years sales forecast | Excel Based Model
Lecture 10Patient Based Model Vs. Patient Flow Model | Critical Differences in Model | Concept of Black Box in Patient Flow Model | Application of both model
Lecture 11Concomitancy and polypharmacy | How it alter the basic forecasting algorithm | Practical Working | Comorbidity
Lecture 12Forecasting Techniques | Simple Conjoint-type Models | Zipf's Law | Simple Elasticity Model | The Bass Model |Simple Extrapolation
Lecture 13Bottom-up or Top-down Forecasting | LRx | Significance of LRx data analysis
Lecture 14Simulation on Bottom-up forecasting
Lecture 15Assessment on Bottom-up forecasting
Lecture 16Oncology Brand Forecasting
Lecture 17Revenue Forecasting Case Study - Novel Antihypertensive 
Lecture 18First-in-class | Best-in-class | Market Access Strategic Decision Making 
Section 2Pharmacoeconomic | Setting up Value of the asset
Lecture 19Introduction to Pharmacoeconomics | Different Types of Economic Evaluation | Cost-effectiveness plane | Economic modeling |Sensitivity Analysis | One way sensitivity analysis | Probabilistic sensitivity analysis 
Lecture 20Economic Evaluation Methods | Various methods | Importance of perspective in health economics | Discounting | Uncertainty 
Lecture 21Core fundamentals of Health Economics | Clinical and economic burden | Public Health Care Payer Vs. Patient and Societal | Positioning a new treatment with the current treatment | QALY | ICER | Threshold value | Clinical trials vs health economics assessment
Lecture 22QALY | How to calculate QALY | Importance and Significance 
Lecture 23ICER | How to calculate ICER | Importance and Significance | Incremental Effectiveness determination 
Lecture 24Pharmacoeconomic Evaluation Checklist | Health Economics Map | Economic evaluation cycle | Checklist of economic evaluation | Costs and Outcome relevant to different groups | Comparators | Problem of choosing the comparators
Lecture 25Pharmacoeconomic Evaluation - Resource and Cost | Fixed, Variable and Total Cost | Calculation | Average vs. marginal cost | Importance of marginal cost | Discounting | Discounting calculation | Preferable discounting rate | Sources of unit cost data | Reference costs
Lecture 26Pharmacoeconomic Evaluation - Benefits and Outcome | C/E Ratio | Intermediate Vs. Final Outcome | Sources of Effectiveness Data | QALY | Utility Weight | WTP | VPF | ATP | Difference between WTP & ATP 
Lecture 27Pharmaco-economic evaluation – analysis and results | Different Types of Models | Understanding Decision Tree - Components with practical Example | Markov model 
Lecture 28CER and PCOR
Section 3Patent and Exclusivity Based Forecasting | Revenue Forecasting
Lecture 29R&D Process & Introduction to drug discovery | Understanding of IND, NDA and ANDA
Lecture 30Patent & Exclusivity - Strategic Understanding | Patent Restoration| Orphan Drug Exclusivity (ODE) | NCE & NCI Exclusivity | GAIN Exclusivity | Pediatric Exclusivity | 180 days exclusivity
Lecture 31Patent Cliff | How to calculate the patent cliff
Lecture 32Portfolio Based Value Forecasting | Developing Excel Based Working Model
Section 4Forecasting and Valuation
Lecture 33Training on Basic Finance  |  Understanding Financial Statment | Income Statement | Balance Sheet | Cash Flow Statement
Lecture 34Valuation Methods: DCF | rNPV | Sunk Cost Method | Comparables | Sum of Parts | Deterministic Vs. Probabilistic rNPV |  Peak Sales - Max-Min Approach
Lecture 35Valuation Methods: EBITDA method of valuation | Enterprise Value and Enterprise Multiple Calculation
Lecture 36Business Development Simulation and Decision Making | Early Stage VS. Late Stage Valuation Methodology | Stair Step Model
Lecture 37Modelling and Deal Valuation - Top Down Model | Epidemiology data method | Complex Model | Forecasting | Heuristic or ‘prophesy’ method | Different value perspectives | Deal Structuring Structuring the deal
Section 5Forecasting related discussions
Lecture 38Forecasting Biosimilar | Key Factors to consider
Lecture 39Consensus Meeting 
Lecture 40One Number Vs. Multi Number Forecasting
Lecture 41Active Vs. Passive Cannibalization | Impact on forecasting | Case Study
Lecture 42Treatment Algorithm and Forecasting : Case Study
Lecture 43Chronic and Acute Segment | Forecasting on Chronic and Acute Segment Drugs
Lecture 44Prescription Value Calculation 
Lecture 45Commonly used Pharma Forecasting Tools | Understanding each types of tools | Time Series Analysis [ARIMA, Exponential Smoothing] | Regression Analysis | Machine Learning Models | Simulation Models | Delphi Method | Scenario Planning
Lecture 46Time Series Forecasting | Step by step time series forecasting | Characteristics of Time Series forecasting
Lecture 47ARIMA Model 
Lecture 48ARIMA Model application on pharmaceutical industry | Application in different domains of pharma | Logical step by step Arima Model Development 
Section 6Course Certificate