Master Python, machine learning, AI applications & predictive modeling for advanced pharmaceutical analytics.
The Pharma Data Analytics and Predictive Analytics course is designed to equip professionals with the skills and knowledge required to harness the power of data in transforming pharmaceutical research, development, and commercialization.
As the pharmaceutical industry continues to evolve into a data-driven domain, the ability to analyse, interpret, and predict outcomes using complex datasets is becoming increasingly critical.
Pharmaleap's course blends domain-specific pharmaceutical knowledge with cutting-edge data science techniques to enable data-informed decision-making across the drug lifecycle — from molecule to market.
Pharmaceutical companies today are inundated with vast volumes of data — from clinical trial results and genomic profiles to real-world evidence and patient-reported outcomes. Leveraging this data effectively requires a unique intersection of:
This course bridges that gap, empowering learners to derive actionable insights from complex data and build predictive models that can improve patient outcomes, optimize trial designs, enhance safety surveillance, and drive commercial success.
It will equip the candidate with practical skills such as data interrogation, visualization, and predictive analytics. The candidate will work with datasets from real-industry processes, producing digital dashboards that offer elevated insights to the organization to drive business performance.
Improved critical decision-making for the organization using data-driven models and use modelling to predict future trends
Tools to communicate business insights that will empower the candidate to make strategic recommendations using data visualizations and digital dashboards
A strengthened ability to analyze, summarize, visualize and report on insights extracted from a dataset using real-world examples from the organization
Pharmaceutical and life sciences professionals transitioning into data roles
Clinical researchers and biostatisticians
Data scientists and analysts in healthcare
Regulatory affairs and medical affairs professionals
Graduates/postgraduates in pharmacy, life sciences, bioinformatics, or health economics
Pharma Data Analyst • Clinical Data Scientist • RWE/RWD Analyst • Predictive Modeler in Healthcare • Pharmacovigilance Data Expert • Health Economics & Outcomes Research (HEOR) Analyst
₹9 - 25 Lacs
Strong analytical & critical thinking skills • Understanding complex data & tools for analytics • Business understanding • Pharma domain knowledge • Basic and advanced Excel skills
10 Sessions
5 Exercises
Downloadable Material
Job Placement: Supply chain data analysts, predictive analytics specialists, AI/ML developers
Mobile & Laptop Accessible
Lifetime Access
Certification of Completion
Data Science Essentials
Machine Learning
NLP Modelling
LLM Modelling
Predictive Analytics and Machine Learning in Pharma
Advanced Analytics – Time Series, Forecasting
Real-World Data (RWD) and Real-World Evidence (RWE) Analytics
Natural Language Processing (NLP) for Pharma Text Analytics
Predictive Modelling & Machine Learning
Live Case Studies & Hands-On Learning
Join PharmaLeap and advance your career in pharmaceutical analytics
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