Introduction to Google Analytics Course Overview

Introduction to Google Analytics Course Overview

The "Introduction to Google Analytics" course is a comprehensive program designed to educate learners about the fundamentals and advanced features of Google Analytics. Learners will gain an understanding of web analytics, including the collection, analysis, and reporting of website data.

Module 1 sets the foundation by discussing the overview and background of web analytics, establishing the context for the use of analytics in business strategy.

Module 2 introduces Google Analytics, guiding users through setup, navigation, and the interface.

Module 3 delves into reports, teaching how to interpret and utilize data effectively.

Module 4 covers custom reporting, enabling learners to tailor reports to specific business needs.

Module 5 focuses on advanced segmentation for more granular data analysis.

Module 6 explains how to use filters to refine the data and improve accuracy.

Module 7 is about setting and tracking goals to measure business objectives.

Module 8 examines funnels to understand the customer journey.

Finally, Module 9 highlights the integration of Google Ads with Google Analytics for enhanced ad performance tracking. This course equips learners with the knowledge to make data-driven decisions, optimize websites, and measure the success of their digital marketing efforts.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

Certainly! For students interested in enrolling in the Introduction to Google Analytics course, the following are the minimum prerequisites to ensure a successful training experience:

  • Basic understanding of how websites work (knowledge of HTML is helpful but not necessary)
  • Familiarity with the internet and navigating websites
  • Basic proficiency with using web browsers such as Google Chrome, Mozilla Firefox, or Safari
  • An interest in learning about web analytics and data-driven decision making
  • No prior experience with Google Analytics is required, as this is an introductory course

Please note that while these prerequisites will help you get the most out of the course, a strong willingness to learn and engage with the course material is as important as any prior knowledge.

Target Audience for Introduction to Google Analytics

The "Introduction to Google Analytics" course is designed to equip users with the skills to analyze and improve web performance.

Target audience includes:

  • Digital Marketing Professionals
  • SEO and SEM Specialists
  • Content Managers and Strategists
  • Web Analysts
  • Data Analysts
  • Marketing Managers
  • E-commerce Managers
  • Social Media Managers
  • Web Developers looking to understand user behavior
  • Product Managers who utilize web analytics for product enhancement
  • Small Business Owners who manage their own web presence
  • IT Professionals who support or integrate with Google Analytics
  • Students and Academics interested in web analytics technology
  • UX Designers seeking to understand user interaction
  • Conversion Rate Optimization Specialists

Learning Objectives - What you will Learn in this Introduction to Google Analytics?

Introduction to the Course's Mentioned Learning Outcomes and Concepts Covered:

Gain a foundational understanding of web analytics and proficiency in Google Analytics to track and analyze web traffic, create custom reports, understand user behavior, and optimize marketing strategies.

Learning Objectives and Outcomes:

  • Understand the basic principles and importance of web analytics in measuring website performance.
  • Navigate and utilize the Google Analytics interface to monitor and analyze web traffic data.
  • Interpret standard reports in Google Analytics to extract actionable insights about website visitors.
  • Create custom reports tailored to specific information needs and business objectives.
  • Apply advanced segmentation techniques to analyze data more granularly and uncover trends.
  • Implement filters in Google Analytics to refine data and improve the accuracy of reports.
  • Define and set up goals to track conversions and measure the effectiveness of online campaigns.
  • Understand and configure funnels to analyze the customer journey and identify drop-off points.
  • Integrate Google Ads with Google Analytics to gain a holistic view of advertising performance and ROI.
  • Leverage the knowledge gained to make data-driven decisions to optimize websites and marketing strategies.