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Last week CMS Watch announced they have launched a new web analytics training course called: “Fundamentals of Web Analytics Technology.” The 4 module course is taught by CMS Watch founder, Tony Byrne and costs $395. Check out the learning objectives of the Web Analytics Course below:
Module 1: Web Analytics Business Case & Scenarios
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Define Web Analytics and distinguish among the core concepts of Web Data, Web Metrics, Web Analytics, and Web Measurement
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List seven potential business benefits of Web Analytics
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Account for seven potential cost items in any Web Analytics solution
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Identify eight potential internal roles that your team might require for an effective solution
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Articulate twelve use cases for Web Analytics, grouped according to functional requirements, website orientation, and internal resource availability
Module2: Core Architectures & Technical Services
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Distinguish between two core architectural approaches
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Identify the three main types of data collection, as well as the pros and cons of each
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Articulate the value of data verification and sampling
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Identify the tradeoffs among different approaches to tracking individual visitors, including key issues with cookie‐based tracking
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Describe the two common methods for tracking mobile users and their shortcomings
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Distinguish between two competing approaches to tracking video usage, including pros and cons of each
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Identify workarounds for dealing with “Web 2.0” challenges like RSS and user‐generated content
Module 3: Web Analytics Business Services
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List “standard reports” and cite examples
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Articulate the differences among different types of “dashboards”
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Describe the value of more “advanced” reporting services, like segmentation, data mining, and campaign analysis
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Understand the differences among various types of auxiliary services in general, and data integration in particular
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Cite key considerations when assessing the usability of a system and its reports
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Describe your organization’s needs in respect to user management and report distribution services
Module 4: Selecting & Implementing Web Analytics
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Articulate a standard process for documenting Web Analytics requirements
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Identify five key categories of metrics requirements
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Categorize two‐dozen Web Analytics vendors according to four marketplace categories
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Develop a technology selection roadmap, based on organizational objectives, functional requirements, and scenario fits
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Match a Web Analytics development project to a standard technology project methodology
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Contrast three approaches for securing external help
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Articulate at least four implementation best practices
