how to prepare for google analytics exam 2017

    What is Google Analytics and How to prepare for google analytics exam 2017?

    Google Analytics is a freemium web analytics service offered by Google that tracks and reports website traffic. Google launched the service in November 2005 after acquiring Urchin. Google Analytics is now the most widely used webanalytics service on the Internet.

    What Web analytics?

    “Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage.

    Web analytics is not just a tool for measuring website traffic but can be used as a tool for business research and market research, as well as a means to determine and improve upon the effectiveness of a web site. It helps one to estimate how traffic to a website changes after the launch of a new advertising campaign. Web analytics provides information about the number of visitors to a website and the number of page views. It helps gauge traffic and popularity trends which is useful for market research.”(source form Wikipedia)

    Why do we need google analytics?

    the answer is  simple .. If you can’t measure it, you can’t manage it!

    How to prepare for google analytics exam 2017?

    Google analytics certification will sure will add more credibility to your resume. clearing the exam is not really tough if you have right plan and preparation guide.

    List of Google Analytics Modules for the Google Analytics Individual Qualification?

    Google analytics will be divided into 2 main areas’

    1. Digital Analytics Fundamentals
    2. Platform Principles

    Digital Analytics Fundamentals has divided into 6 units. here is the list you need to go through.

    Course Overview

    This 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.

    Module #1  Digital Analytics Fundamentals
    Module #2 Platform Principles
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