Cms watch offered Fundamentals of Web Analytics Technology just couple of days back.
this course will provide you with a thorough grounding in Web Analytics technology. It will enable you to identify your own requirements more clearly, understand how various Web Analytics services work, and differentiate among alternate architectures and approaches.
It’s lenght is 4 modules, 4 hours and fees is $395 ( Five or more students eligible for group discount — contact info@cmswatch.com or call for details).
This course is specially designed for Business Intelligence and Data Warehouse specialists, Website Managers, Web and Online Marketing Managers, Enterprise data architects, IT managers, Webmasters and Marketing Directors.
Objectve of cousre iscontains
Module 1: Web Analytics Business Case & Scenarios
•Define Web Analytics and distinguish among the core concepts of Web Data, Web Metrics, Web Analytics, and Web Measurement
•List seven potential business benefits of Web Analytics
•Account for seven potential cost items in any Web Analytics solution
•Identify eight potential internal roles that your team might require for an effective solution
•Articulate twelve use cases for Web Analytics, grouped according to functional requirements, website orientation, and internal resource availability
Module2: Core Architectures & Technical Services.
•Distinguish between two core architectural approaches
•Identify the three main types of data collection, as well as the pros and cons of each
Articulate the value of data verification and sampling
•Identify the tradeoffs among different approaches to tracking individual visitors, including key issues with cookie‐based tracking
•Describe the two common methods for tracking mobile users and their shortcomings
•Distinguish between two competing approaches to tracking video usage, including pros and cons of each
•Identify workarounds for dealing with “Web 2.0” challenges like RSS and user‐generated content
Module 3: Web Analytics Business Services
•List “standard reports” and cite examples
•Articulate the differences among different types of “dashboards”
•Describe the value of more “advanced” reporting services, like segmentation, data mining, and campaign analysis
•Understand the differences among various types of auxiliary services in general, and data integration in particular
•Cite key considerations when assessing the usability of a system and its reports
•Describe your organization’s needs in respect to user management and report distribution services
Module 4: Selecting & Implementing Web Analytics
•Articulate a standard process for documenting Web Analytics requirements
•Identify five key categories of metrics requirements
•Categorize two‐dozen Web Analytics vendors according to four marketplace categories
•Develop a technology selection roadmap, based on organizational objectives, functional requirements, and scenario fits
•Match a Web Analytics development project to a standard technology project methodology
•Contrast three approaches for securing external help
•Articulate at least four implementation best practices
I think its pretty much information course who want to being expert of web analytics. suggestion are welcomed from who enrolled in this course. 
please share your views about this course.
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thanks for sharing
Thanks, I enjoyed reading your post. Its nice to see someone writing something worth reading. Take care.
- Jack
Thanks.Really enjoyable post.
Always looking to learn more, and this looks like a good alternative.
I’ve meant to post about something like this on my blog and you have given me an idea. TY.
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