Google introduces Analytics Academy for e-learning

I really liked this and promptly signed up at https://analyticsacademy.withgoogle.com/course

I of course passed the test some 2 years back-Google Web Analytics IQ test (but its only valid for 18 months)

Digital Analytics Fundamentals

This three-week course provides a foundation for marketers and analysts seeking to understand the core principles of digital analytics and to improve business performance through better digital measurement.

Course highlights include:

  • An overview of today’s digital measurement landscape
  • Guidance on how to build an effective measurement plan
  • Best practices for collecting actionable data
  • Descriptions of key digital measurement concepts, terminology and analysis techniques
  • Deep-dives into Google Analytics reports with specific examples for evaluating your digital marketing performance
  • View lessons from experts

    Watch or read lessons from digital analytics advocate Justin Cutroni, all at your own pace.

  • Test your knowledge

    Apply what you learn in the course by completing short quizzes and practice exercises.

  • Join the learning community

    Engage with other course participants and analytics experts in the course forum and on Google+.

Algorithms.io is Dataweek Startup of September

One of the guys I keep shooting ideas with on a ir-regular basis Andy Bartley ‘s startup , Algorithms.io just won a startup competition

 

http://dataweek.co/algorithms-io-wins-data-2-0-summit-2013-startup-pitch-competition/

Andy was kind enough to mention me at link above ( I extracted it here)–what is really cool is they are now going to demo on analytics for wearable computing. That’s right- Analytics + Google Glass ? Any takers..? 🙂

See-

isit Algorithms.io tomorrow and Thursday at Dataweek 2013 at the Fort Mason center in San Francisco.  We will be in booth #118 giving a live demo of our new machine learning platform for wearable devices.

This new platform intelligently classifies streaming data from wearable devices into actionable events that can be used to build predictive applications.  It combines a data scientist, dev ops engineer, and developer all into one simple service.

 

 

Geoff: Is Algorithms.io a “marketplace for algorithms” or do you plan on producing / curating most of the algorithms internally?

Andy:  Right now we are performing the curation internally.  When you get past the marketing hype around Big Data, Machine Learning, Predictive Analytics, etc. what you’ll find is most companies still aren’t sure exactly how these technologies can benefit their business.  We talk with Fortune 500 companies every week who have few if any data scientists in house, and aren’t using any intelligent algorithms.  Our main focus right now is working with those companies to help them understand the use cases and how they integrate with the business model.

Longer term, we think there is an opportunity for an algorithm marketplace.  This isn’t a new topic, one of our advisors Ajay Ohri, also the author of Springer’s book on R, wrote about this idea back in 2011   (http://readwrite.com/2011/06/01/an-app-store-for-algorithms#awesm=~ohfvTpPiq6Jmt5).  We’ve discussed this topic with folks at some of the potential players like Google who could be interested in this type of marketplace.  Two of the primary gating factors for an algorithm marketplace are data quality and use cases.  Data quality is still a fundamental challenge, and the really compelling business use cases today can be tackled with a relatively limited set of algorithms.  As companies get more sophisticated data infrastructure in the next 2 – 3 years, the bar will begin to rise and an opportunity could emerge for commerce around algorithms.  We’re doing a number of things on the technology and IP fronts to position us to play in this space when it emerges.