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Certified Analytics Professionals: Congrats!
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Re: How much?
  • 4/30/2013 10:15:51 AM
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That's the spirit Louis -- always keep your options open. 

Re: How much?
  • 4/30/2013 1:45:20 AM
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Congrats to those who have earned the CAP !   I don't think I will be going for it anytime soon, my present direction does not lend itself to benefitting from such a certification, but who knows things could always change at a drop of a dime.

Re: How much?
  • 4/29/2013 10:35:50 PM
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Sounds reasonable!

Re: How much?
  • 4/29/2013 9:21:49 PM
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@Beth: At the moment, no. I do analytics to help me with work (e.g. looking out for trends, measuring performance, doing feasibility studies) but the word "analyst" is nowhere in my job title. If I do decide to focus on analytics, then I'll seriously consider taking the CAP certification test.

Re: How much?
  • 4/29/2013 8:40:01 AM
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@magneticnorth -- so would you consider studying for and taking the CAP certification test if the opportunity presented itself to you? 

Re: How much?
  • 4/29/2013 8:31:44 AM
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"Too bad they are not here in San Francisco" -- who knows what the 2014 testing schedule will bring! 

Re: How much?
  • 4/29/2013 12:22:53 AM
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magneticnorth,- It is true so, in fact even the more established fields like networking, actuarial science and others, usually the certifications are where people gain most knowledge and they are usually more prestigious.

Re: How much?
  • 4/28/2013 10:10:08 PM
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True, Beth. In that sense, I think CAP is more like the PMP. There's much to the field that's vendor-neutral so basic certification should really be from an independent body.

Re: How much?
  • 4/28/2013 10:09:05 PM
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@kicheko - I do think that certification, at this point, is more apt than a graduate degree. I think the field needs to grow more in terms of scholarly research in order to put up graduate programs. Professional certifications, on the other hand, simply certify that you can do the tasks of a professional. That's good for a corporate career.

Re: How much?
  • 4/25/2013 5:00:28 PM
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1 saves

I think it's interesting to see what they teach.  Too bad they are not here in San Francisco. 

(12-18%)  Domain I        Business Problem (Question) Framing

T-1       Obtain or receive problem statement and usability requirements
T-2       Identify stakeholders
T-3       Determine if the problem is amenable to an analytics solution
T-4       Refine the problem statement and delineate constraints
T-5       Define an initial set of business benefits
T-6       Obtain stakeholder agreement on the problem statement        

(14-20%)  Domain II       Analytics Problem Framing

T-1       Reformulate the problem statement as an analytics problem
T-2       Develop a proposed set of drivers and relationships to outputs
T-3       State the set of assumptions related to the problem
T-4       Define key metrics of success
T-5       Obtain stakeholder agreement

(18-26%)  Domain III     Data

T-1       Identify and prioritize data needs and sources
T-2       Acquire data
T-3       Harmonize, rescale, clean and share data
T-4       Identify relationships in the data
T-5       Document and report findings (e.g., insights, results, business performance)
T-6       Refine the business and analytics problem statements         

(12-18%)  Domain IV     Methodology (Approach) Selection

T-1       Identify available problem solving approaches (methods)
T-2       Select software tools
T-3       Test approaches (methods)1
T-4       Select approaches (methods) 1

(13-19%)  Domain V       Model Building

T-1       Identify model structures1
T-2       Run and evaluate the models
T-3       Calibrate models and data1
T-4       Integrate the models1
T-5       Document and communicate findings (including assumptions, limitations and constraints)

(7-11%)    Domain VI     Deployment

T-1       Perform business validation of the model
T-2       Deliver report with findings; or
T-3       Create model, usability and system requirements for production
T-4       Deliver production model/system1
T-5       Support deployment

(4-8%)    Domain VII    Model Lifecycle Management

T-1       Document initial structure
T-2       Track model quality
T-3       Re-calibrate and maintain the model1
T-4       Support training activities
T-5       Evaluate the business benefit of the model over time

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