Advanced Web Analytics Certification Training

25+ hrs. of e-learningDownloadable workbooksUpdated content & quizzes

Market Motive's Advanced Web Analytics certification course will help you master the different facets of web data analysis like multi-channel analytics, quantitative & qualitative searches, reports, and more. With this online Web analytics training, you will learn the tools and techniques used in web analytics to become a data wizard.

Self Paced Learning
0 *180 days access
7 Day Money Back Guarantee

Key features

  • 15+ Hours of e-learning videos
  • Topics on Google Analytics, Data Analytics, Acquisition, KPIs and Social Analytics
  • Hands-on practice of google Analytics
  • 15 mini Projects and end of the course practice project
  • Examples and case studies with Downloadable course ebook
  • Course completion certificate

Course advisor

web analytics training course
Stéphane HamelDigital Analytics Faculty Chair

Stéphane Hamel is a seasoned independent consultant and distinguished thought leader in the field of digital analytics

Recognized as a Google Product Strategy Expert (2016) and considered one of the Most Influential Industry Contributor by the Digital Analytics Association (2012), he has made significant contributions to the industry, including creating the Digital Analytics Maturity Model and the Web Analytics Solution Profiler (WASP) quality assurance tool, as well as other tools and concepts throughout the years.

Advanced website analytics is the science of analysis that focuses on the World Wide Web. Web analytics focuses on optimizing an organization’s digital ecosystem by collecting, analyzing and enabling the making of data-informed decisions.

With this web analytics course, information from mobile applications, social media, websites, Internet of Things (IoT) fuses with a company’s internal data such as customer information from the Customer Relationship Management team and the Sales Team. With this combined information, businesses will be equipped to make informed business decisions. Most firms integrate web analytics into their business strategies to maintain their competitive edge.

Students taking this web analytics course will be well-versed in the core concepts of analytics. Typical content and mobile analytics scenarios are covered to ensure that students practice using extensive web analytics tools used by marketers across significant domains.

This course trains students on Digital Analytics from a managerial perspective without ignoring other crucial digital analytics tools.

With our Advanced Web Analytics training, students will have a well-rounded knowledge of data analytics, which includes:

  • Ways to leverage data from various sources to conduct quantitative and qualitative research, and deliver data-informed business insights
  • Comprehending the importance of data analytics in all aspects of customer life cycles across the digital world
  • Leveraging various analysis capabilities through digital data
  • Ways to make well-informed business decisions by using meticulous analysis techniques
  • Helping participants master the analytics domain by training them on topics about the web, social, and content analytics.
  • Training students on the best practices for using data analytics to manipulate a company’s conversion funnel and customer retention rate.
  • Understanding digital analytics platforms like Google Analytics, Google Digital Studio, Klipfolio, and Tableau.

This web analytics course is best-suited for professionals who want to master digital analytics to expand their digital marketing skill set. Those who wish to become a web analyst well benefit from this training. The web analytics training is also suited for professionals who are:

  • Online Web Analytics Implementers
  • Online Web Analytics Data Reporters
  • Digital Analysts
  • Digital Marketers
  • Web Analytics Certification Aspirants
  • Digital Analytics Certification Aspirants
    • Section 1 : Introduction to Digital Analytics 16:54
      • 1.001 Introduction to Digital Analytics 16:54
      • Knowledge Check
    • Section 2 : Building Blocks 25:54
      • 2.001 Advanced Building Blocks 04:21
      • 2.002 Building Blocks -Google Analytics 21:33
      • Knowledge Check
    • Section 3 : Fundamentals of Digital Analytics 45:14
      • 3.001 Digital Analytics 08:02
      • 3.002 Digital Analytics Maturity Model 14:39
      • 3.003 Using the Digital Analytics Maturity Model 13:59
      • 3.004 The Three Heads of Online Analytics 08:34
      • Knowledge Check
    • Section 4 : Business Perspective 44:52
      • 4.001 The Customer Journey and its Various Approaches 09:23
      • 4.002 Designing for Persuasion 09:37
      • 4.003 Defining Business Goals 11:32
      • 4.004 Key Performance Indicators 14:20
      • Knowledge Check
    • Section 5 : Methodology -Lean Six Sigma 25:33
      • 5.001 Introduction to the Analysis Perspective 05:28
      • 5.002 Lean Six Sigma Principles -Define and Measure 09:29
      • 5.003 Lean Six Sigma Principles -Analyze, Improve, and Control 10:36
      • Knowledge Check
    • Section 6 : Data Analysis Fundamentals 16:22
      • 6.001 Data Analysis Fundamentals 16:22
      • Knowledge Check
    • Section 7 : Analysis Perspective: Providing Insights 35:22
      • 7.001 Analysis Perspective Providing Insights 18:29
      • 7.002 Expressing Exactitude or a Sense of Scale 16:53
      • Knowledge Check
    • Section 8 : Enabling Capabilities 52:06
      • 8.001 Tag Management System 19:51
      • 8.002 Vendor Selection 08:18
      • 8.003 Qualitative Data 09:27
      • 8.004 Competitive Intelligence and Other Tools 14:30
      • Knowledge Check
    • Section 9 : Managing Analytics 41:02
      • 9.001 Introduction to Managing Analytics 13:47
      • 9.002 RACI Matrix 07:53
      • 9.003 Agile Management 19:22
      • Knowledge Check
    • Section 10 : Audience 15:48
      • 10.001 Audience 15:48
      • Knowledge Check
    • Section 11 : Acquisition 44:55
      • 11.001 Acquisition 09:55
      • 11.002 Campaign Tracking 07:14
      • 11.003 Google Analytics Standard Channels 14:33
      • 11.004 Marketing Automation and Growth Hacking 13:13
      • Knowledge Check
    • Section 12 : Behavior 28:43
      • 12.001 Behavior 11:46
      • 12.002 Customer Engagement 16:57
      • Knowledge Check
    • Section 13 : Conversions Onboarding 50:40
      • 1 Conversions Funnel 15:23
      • 2 Experimentation and Testing 13:12
      • 3 Conversion Scenarios 13:46
      • 4 Attributions 08:19
      • Knowledge Check
    • Section 14 : Retention and Expansion 25:15
      • 14.001 Retention and Expansion 10:39
      • 14.002 Expansion Scenarios 14:36
      • Knowledge Check
    • Section 15 : Advocacy 15:15
      • 15.001 Advocacy 08:13
      • 15.002 Facebook and LinkedIn Insight 07:02
      • Knowledge Check
    • Section 16 : Privacy and Ethics 17:23
      • 16.001 Privacy and Ethics 17:23
      • Knowledge Check
    • Section 17 : Wrapping Up 08:23
      • 17.001 Wrapping Up 08:23
  • Complete 85% of the course
  • Complete 7 mini projects and 1 simulation test with a minimum score of 60%.

There are no specific prerequisites for the Advanced Web Analytics certification. However, if participants would enjoy the course further if they have a working knowledge of:

  • Business indicators like revenue, margins, and profitability
  • Business functions like sales, marketing, and customer relationships
  • How to make online purchases and how to interact with a business online

Request more information

For individuals
For business