​​​Transforming Healthcare Data Into Insights via AI
REGISTRATION​​
A short description of the workshop
This three-day CPD-accredited workshop equips participants with practical skills to analyze and interpret healthcare data using Python. Through hands-on exercises in data manipulation, visualization, and text analytics, participants will work with real datasets and gain skills for immediate application in their field.​
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Who should attend?:
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Healthcare professionals leveraging data analytics
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Data analysts and scientists exploring healthcare
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Students and academics in healthcare informatics
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Anyone seeking to turn healthcare data into insights
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Date and time: 23, 24 November, 1 December 2024. 6-9 PM Qatar Time.
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Location: Live Online.
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Objectives:
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Understand the role of data analytics in modern healthcare and healthcare trends
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Use Python to manipulate, visualize, and analyze healthcare datasets
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Apply text analytics to clinical notes and patient feedback
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Develop data-driven insights to improve healthcare outcomes
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Gain practical experience through hands-on coding and real-world scenarios
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Course Benefits:
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Learn to analyze and interpret healthcare data effectively.
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Gain hands-on experience with real datasets and coding exercises.
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Apply data insights to drive better healthcare outcomes.
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Enhance your career with CPD credits (8 hours).
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Brief Workshop Agenda:
Day 1:
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Introduction to the workshop, objectives, and Python in healthcare
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Set up Python environment with Jupyter Notebooks
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Basics of Python: Variables, data types, control structures
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Hands-on: Write scripts and analyze healthcare data
Day 2:
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Advanced data manipulation with Pandas and NumPy
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Hands-on: Clean datasets and perform statistical analysis
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Data visualization with Matplotlib and Seaborn
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Introduction to NLP: Analyze clinical notes and patient feedback
Day 3:
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Apply insights through data-driven reports
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Wrap-up and final Q&A
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-No prerequisites are needed
​The instructor:​
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Dr. Polat Goktas, a researcher at University College Dublin, specializes in human-computer interaction, data analytics, and AI in healthcare. His Ph.D. focused on cellular classification using image processing, with research experience at Harvard Medical School through a Fulbright Fellowship. He has received prestigious awards, including the Lindau Young Scientist Award and Marie Curie Fellowship, and serves on several editorial boards.
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Certificates with CPD-accredited hours will be issued to participants upon completion of the course.​
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Standard Fees: $ 169 (615 QAR).
REGISTRATION:
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