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Let's start exactly wherever you are. Big data is now industry agnostic. It isn't even necessarily siloed over in IT departments any longer. I would also argue that to manipulate different levels of abstraction simultaneously--you may need to expand your knowledge base. You must consider the overall purpose or business need while artfully and thoughtfully creating detailed aspects of implementation. Considerations of governance, data architecture, quality, transformation, data modeling, visualization and eventually communication need to be prioritized upstream from meaningful insights. |
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because data talks, people mumble
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Online Workshop Continuing Medical Education: change isn't necessary, survival is not mandatory April 11, 9 a.m.-12 p.m.
I have worked in CME for at least 15 years or so. I consider myself a recovering CME professional. I had to step out of the bubble to notice the limits of our specialized and industry specific practices. Work in health economics, health policy, and biostatistics highlights the limited scope of "analyses" integrated in design, development, implementation, and evaluation in CME.
A live 3-hour onlineworkshop will walk through each phase of developing a needs assessment and include an introduction to open source tools and prep materials sent to registered participants that will include brief videos, resources, templates, and data literacy (R, Python, Tableau, Qualtrics).
We are capping registration at 100 to keep costs down but feel free to invite the whole team. Register today and start receiving tools to implement change...access information to follow.
Online Workshop: open source healthcare data. Live date March 4th, 9a.m-11 a.m. EST
Learn how to find different types of data to answer your data question.
We will go through a few simple steps to locate, explore, andclean your data using open source solutions.
Introduction to Tableau for data visualization, Tableau Prep, Python, and R
As part of the family of .health domains we are working with you and your teams for all your analytic needs--either how to build an effective data governance strategy with the leading expert in the field Nicola Askham, robust survey frameworks, or empowering your teams with a strong level set of skills that include introductory statistics and applied data science, data literacy, R programming, Python, and data visualization with Tableau.
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5 steps to a better data strategy
1. SIGNUP FOR MY NEWSLETTER
2. READ A BOOK ABOUT DATA 3. FIND DATABASES THAT CAN ANSWER YOUR QUESTIONS Integrate new data into your pipeline 
4. ANALYZE DATA build new skills or tools with your current team
5. WRITE A COMPELLING NARRATIVE using data informed stories and visualizations |
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Active Member:
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“The soul of collaboration is perfect candor, rudeness if need be. Its prerequisite, Crick said, is parity of standing in science, for if one figure is too much senior to the other, that’s when the serpent politeness creeps in. A good scientist values criticism almost higher than friendship: no, in science criticism is the height and measure of friendship. The collaborator points out the obvious, with due impatience. He stops the nonsense . . .”-- Horace Freeland Judson
“ When “i” is replaced with “we” even illness becomes wellness"--Malcolm X
