This 4-day course is intended to expose participants to data science and AI best practices in the Pharmaceutical & Healthcare industry and introduce the big data ecosystem and how it can benefit from AI. It doesn’t limit itself to analytics, but to all disciplines to which modern data relates as well. In the course, you will work through several case studies and examples using healthcare data and Machine Learning tools. By the end of this course, participants will become connoisseurs of all techniques and technologies related to Pharma/Healthcare and Medical research that will allow them to get the best knowledge from their data.
All delegates will receive comprehensive course documentation
Certificate of attendance
Hands-on case studies & practical examples
Interactive learning approaches
Benefits of attending
Understand and design data for efficient analytical use
Organize variables by importance
Distinguish valuable data from "silent" destructive data
Visualize and analyze data correctly and informatively
Compare data analysis with machine learning
Explore the most important predictive models
Find the pattern for market profiling and segmentation
Demystify all big data components and their interactions
Decide between "proprietary" and "open source" technologies
Understand the reality behind AI and it's real-world application
Farmavita Net is a professional community and network of pharmaceutical licensing and business development executives, innovators and researchers. Farmavita.Net is the pharmaceutical licensing, technology transfer and regulatory affairs network. We are managing the marketplace of offers and demand for pharmaceutical Dossiers, know-how, and technologies. Members of Farmavita.Net network usually find a number of attractive solutions for business development, alliances, joint ventures, co-development and co-marketing of pharmaceutical products. Farmavita.
Net is not just a pure Internet portal. We manage a number of regional associates. We are connecting the dynamic network of a few hundred members/pharmaceutical companies interested in license-in and license-out opportunities.