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Leadership and Excellence in Analytics and Data Science (LEADS)
Applications for the 2017 program are open from May 17 to August 20.
Join the Data Trust community in bringing Johns Hopkins Medicine into the analytic future.
Led by the Johns Hopkins Technology Innovation Center, this hands-on program trains members in the technologies deployed at Johns Hopkins Medicine for analytics as well as the theories and methodologies related to health care data compilation, analysis and use. Participants will benefit from 20 one-hour lectures and five workshops during the six-month long program to build practical skills and valuable connections.
The tuition for the program is $4,000, which may be covered by a sponsoring department or through tuition remission.
- Accessing Epic data
- Data modeling
- Tableau and BI tools
- Query construction and ETL
- Jupyter / FHIR / Epic tools
Community and Growth
- Professional development
- Networking with peers and leadership
- Skill sharing
- Workshops for projects
Leaders in Analytics
- Data Trust policy
- Data management strategies
- Process maturity
- Security and governance
- Design and management training
Who can participate?
We are looking for participants who...
- are full-time Johns Hopkins employees
- have basic/beginner skills with BI tools and structured querying languages
- use analytics in most of their day-to-day work
- would like to contribute to and be a part of the greater analytics effort at Johns Hopkins
To apply, submit the following to Julia Brown at TIC@jhmi.edu no later than August 20, 2017:
- Your resume
- A brief personal statement detailing why you are a good fit and what you hope to take away from the program
- A signed letter from your manager recommending you to the program and verifying the cost and effort allocation.
For prospective applicants not currently affiliated with the Data Trust, please contact Julia Brown at TIC@jhmi.edu for next steps.
ALPS opens up a knowledge base. It thoughtfully brings together all the various folks responsible for data analysis along with their expertise in tools and data sources. This facilitates efficiencies in data projects especially when it comes to finding the data you need to answer questions. Many times, someone else has already tried to solve the problem you are working on or something close enough that you can leverage their knowledge. It seems like ALPS is really onto something with bringing people together to learn from each other.
- Dawn Corun, ALPS Fellow Class of 2015