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Web Analytics
Rating: 3.6 out of 5(16 ratings)
201 students
Last updated 3/2015
English

What you'll learn

  • Be introduced to Web Analytics.
  • Be aware of some Web-based Analytics and software products.
  • Be aware of the different analytics tools.
  • Learn Affiliate, Internet, and Referral Marketing.
  • Understand advertising using analytics.

Course content

9 sections61 lectures2h 34m total length
  • Web Analytics7:58

    This discussion will focus on the definition and categories of web analytics.

  • Web Analytics - Key Definitions6:46

    This lecture will talk about the key definitions of web analytics.

  • Anametrix and AT Internet3:16

    This lecture will discuss Anametrix and AT Internet.

    .

    Lecture outline:

    0:00    Anametrix
    
    2:03    AT Internet
    
  • AWStats and Bounce Rate3:33

    This lecture will discuss AWStats and Bounce Rate.

    .

    Lecture outline:

    0:00    AWStats
    
    1:53    Bounce Rate
    
  • Click Analytics and Clickstream2:03

    This lecture will discuss Click Analytics and Clickstream.

  • ClickTale, Conversion Funnel and CrawlTrack4:48

    This lecture will discuss ClickTale, Conversion Funnel, and CrawlTrack.

    .

    Lecture outline:

    0:00    ClickTale
    
    1:50    Conversion Funnel
    
    3:31    CrawlTrack
    
  • Google Analytics4:23

    This lecture will talk about the definition, technology, and limitations of Google Analytics.

  • Hitbox and HitDynamics1:16

    This lecture will discuss Hitbox and HitDynamics.

  • HubSpot3:12

    This discussion will focus on the definition, strategy, products, and services of HubSpot.

Requirements

  • Basic understanding of the IT industry
  • Knowledge of the English language

Description

Web Analytics is the measurement, collection, analysis, and reporting of Internet data for purposes of understanding and optimizing Web usage. Web Analytic is a tool that can measure Web site traffic. Businesses can also use it as a tool for business and market research.

This course will begin by discussing the definition and categories of Web Analytics, some examples of Web-based Analytics such as Klout, Google Analytics, and Microsoft adCenter Analytics, to name a few. This course will also tackle Affiliate, Internet, and Referral Marketing.

Who this course is for:

  • Anyone looking to gain an understanding of Web Analytics and its practical application in an IT and Non-IT environment.
  • Help career-driven IT professionals stay relevant in their roles in the I.T. industry.