Certificate Crash Course - Data Analytics
9:00 am - 9:30 am Welcome Coffee and Registration
9:30 am - 12:30 pm MORNING SESSION: Defining your Healthcare Data Strategy
Data Management, Data Governance and Data Analytics for Pharma R&D
Where is the data?
- The many sources of valuable patient & physician level data in the public-domain for Pharma & Healthcare Analysing data with Open Source Tools: Hadoop,Spark & other solutions
- Writing code in R: Theory & Hands-On Practice using actual Physician, Patient-Level Data from NHS & FDA
12:30 pm - 1:30 pm Networking Lunch Break
An excellent time to interact with the author and submit specific needs discussion ideas for the afternoon session!
1:30 pm - 4:30 pm AFTERNOON SESSION Real-World Use Cases with Real-World Data (RWE) in Healthcare & Pharma
- Emerging Paradigms: IoT Connected Medical Devices, Immunotherapy & Personalised Treatments
- Success stories in utilizing Machine
- Learning & AI for Pharma R&D and Market Research
- Leveraging Machine Learning and AI for identifying actionable opportunities in your organization
- Discussion on audience specific needs and next steps