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Advanced Web Analytics Certification Online Training

  • 24 Hours

IgmGuru's Advanced Web Analytics Certification Training course master yourself towards various areas of web analysis, multi-channel analytics, quantitative and qualitative search, reports as well as the tools & techniques that are required for web analytics which makes you a data wizard. You will master the crucial components of the web, social, mobile and content analytics to optimize your organization's ability to form extremely wise business solutions. 

Key Features

  • Instructor Led Training : 25 Hrs
  • 100% money back guarantee
  • Flexible Schedule
  • 24 X 7 Lifetime Support & Access
  • Experienced Trainers
  • 100% Job Assistance
  • Get Certified & Get Placed

For Individuals

Online Class Room Program

Online Class Room Program

  • 90 days of access to 12+ instructor-led online training classes
  • 180 days of access to high-quality,self-paced learning content designed by experts
  • $230.57

100% Money Back Guarantee ?

Batches start from 27 Oct 2018.

Overview

In the IgmGuru's Advanced web Analytics certification training, you'll master the crucial components of web, social, mobile and content analytics to optimize your organization’s ability to form extremely wise business selections. You’ll become an expert at grouping and dealing with multi-channel information sources, perform quantitative and qualitative searches, and additional with this Digital web Analytics course. enroll now to become a data wizard and give your company a competitive edge.

What are the Course Objectives?

Advanced net Analytics is the science of research that focuses on varied sorts of web knowledge. It involves the gathering and analysis of information that results in additional well-read business choices and an improvement of an organization’s digital scheme and supporting business processes. web analytics takes knowledge from websites, mobile applications, social media, internet of Things, or third party sources and combines them with back-office client Relationship Management (CRM) and sales systems to enhance core business methods, optimize workflow and maintain a competitive edge.

This Advanced net Analytics course covers basic ideas of analytics and dives deep into web, social, content and mobile analytics, illustrating common analytical situations and the way to use standard web analytics tools utilized by marketers across the foremost business domains. The course approaches net analytics from each strategic and sensible perspective, showcasing careful tips and techniques for mistreatment of Google web analytics and other platforms and tools. You’ll keep step with the foremost necessary analytics trends and indurate a career in net and digital analytics.

What Skills will you grasp?

This Advanced web Analytics training can provide you with a comprehensive experience in digital information analytics, including:

  • How to leverage information from numerous sources to conduct quantitative and qualitative analysis, and deliver actionable, data-informed business insights
  • How digital information analytics drives necessary insights for all aspects of the client lifecycle across digital channels
  • Understanding the ideas of internet analytics from ground zero to mastering the analytics domain across digital channels
  • In-depth knowledge of internet analytics, social analytics, mobile analytics, and content analytics
  • Complete end-to-end understanding of how digital and information analytics impact the conversion funnel, client retention and acquisition, CPA, LTV and also the client engagement.
  • Product data of Google Analytics, Google Digital Studio, Klipfolio, and Tableau.

Who Should Opt for this course?

This Digital Analytics Certification training is appropriate for professionals who would like to specialize in digital and web analytics and boost their skillsets within the world of digital marketing. This course is best suited for:

  • Online net analytics implementers
  • Online web analytics data reporters
  • Digital analysts
  • Digital marketers

Modules

Lesson 1 - Introduction to Digital Analytics

  • 1.1 What is Digital Analytics?
  • 1.2 Definition of Analytics
  • 1.3 Three elements of Analytics
  • 1.4 Types of Analytics

Lesson 2 - Advocacy

  • 2.1 Advocacy—Introduction
  • 2.2 Measuring Social Media through Sentiment Analysis
  • 2.3 The Kafkaesque Approach—Social Media Analytics
  • 2.4 Advocacy Data Insight, Facebook Insight, LinkedIn Insight
  • 2.5 Common Metrics for Advocacy Analytics

Lesson 3 - Retention and Expansion

  • 3.1 Retention and Expansion, Customer Retention, Retention Scenarios
  • 3.2 Text Analysis, Customer Engagement, Customer Expansion
  • 3.3 Expansion Opportunity — The RFM Approach
  • 3.4 Customer Lifetime Value to Retain and Expand

Lesson 4 - Conversions & Onboarding

  • 4.1 Conversion Funnel Performance Analysis
  • 4.2 Conversion Rate Benchmarking
  • 4.3 A Visual Nomenclature: BPMN
  • 4.4 A/B Testing, Hypothesis Testing, Multivariate Testing

Lesson 5 - Behavior

  • 5.1 Introduction to Behavior
  • 5.2 Introduction to Behavior Analysis
  • 5.3 Search Engine Optimization
  • 5.4 Top Content – And A Word of Caution
  • 5.5 Tips to improve insight from Top X reports
  • 5.6 Movers and Shakers: Calculate Slope & Intercept, Conclusion
  • 5.7 Text Analysis and Natural Language Processing (NLP)
  • 5.8 Measuring the Elusive “Engagement”

Lesson 6 - Acquisition

  • 6.1 Types of Segmentation
  • 6.2 Acquisition Reports in Google Analytics
  • 6.3 Marketing Refresher: Four Ps of Marketing Mix
  • 6.4 Marketing Refresher: Marketing Mix
  • 6.5 Acquire Customers using Paid, Owned, and Earned Media
  • 6.6 Brand Marketing vs. Direct Response
  • 6.7 Campaign Tracking Tool
  • 6.8 Components of a Campaign
  • 6.9 Channel Report in Google Analytics
  • 6.10 Source/Medium Report in Google Analytics
  • 6.11 Predicting Seasonality, Predicting Seasonality Without Data

Lesson 7 - Audience

  • 7.1 Introduction
  • 7.2 Audience Reports Overview
  • 7.3 Why Use Segmentation?
  • 7.4 Ways to Segment Your Data
  • 7.5 Segment vs. View Filter vs. Report Filter in Google Analytics

Lesson 8 - Managing Analytics

  • 8.1 Introduction to Managing Analytics
  • 8.2 The Three Heads of Online Analytics
  • 8.3 Qualities of a Digital Analytics Leader
  • 8.4 Analytics Center of Excellence (ACE) Evolution
  • 8.5 Influence, Authority, and Leadership
  • 8.6 Responsible, Accountable, Consulted, and Informed (RACI) Matrix
  • 8.7 RACI—Case Study, RACI Tasks Inventory, RACI Workshop in Action, RACI Matrix Example
  • 8.8 Planning, Silo Mentality, Curse of Knowledge, Tunnel Vision, Echo Chamber, Analysis Paralysis

Lesson 9 - Enabling Capabilities

  • 9.1 Evolution of Data Collection
  • 9.2 Log Files, Extended Log Format
  • 9.3 Tag Management System
  • 9.4 Big Data, Cookies, Instrumentation (Tagging)
  • 9.5 Selecting a Web Analytics Platform
  • 9.6 Multiplicity and Observations
  • 9.7 A Plethora of Non-Standardized Metrics
  • 9.8 Technological Footprint Tools
  • 9.9 Back Office CRM and Sales Data
  • 9.10 The Cost of Truth: Accuracy vs. Precision
  • 9.11 Product Showcase: Outlier.ai

Lesson 10 - Analysis Perspective: Providing Insights

  • 10.1 What is a Dashboard?
  • 10.2 Dashboard Taxonomy, Planning Your Dashboard
  • 10.3 Google Analytics, Google Data Studio, Klipfolio, Tableau Software

Lesson 11 - Data Analysis Fundamentals

  • 11.1 Applying Analytics and Agile Methodology to Business Improvement
  • 11.2 The Path from Data to Wisdom
  • 11.3 Descriptive Statistics, Dispersion, Relationship (Correlation), Box Plots, Linear Regression, Time Series Terminology
  • 11.4 The Pareto Principle – 80-20 Rule

Lesson 12 - Methodology--Lean Six Sigma

  • 12.1 Applying Analytics and Agile Methodology to Business Improvement
  • 12.2 Introduction to the Analysis Perspective
  • 12.3 Continuous Improvements and Problem Solving with Lean Six Sigma
  • 12.4 Lean Six Sigma—Principles, Define, Measure, Analyze, Measure, and Control
  • 12.5 Recommendations Fatal Flaws

Lesson 13 - Business Perspective 12:51:00

  • 13.1 Defining Success
  • 13.2 Defining the Scope & Ecosystem: Setting Boundaries
  • 13.3 A Classic Customer Lifecycle
  • 13.4 McKinsey Consumer Decision Journey
  • 13.5 Designing for Persuasion
  • 13.6 Avinash Kaushik See-Think-Do-Care
    12:51
  • 13.7 Avinash Kaushik See-Think-Do-Care
  • 13.8 Functionalism, Scent trail, Micro and Macro Conversions
  • 13.9 Defining Goals, The Ultimate Goals, Good Goals Vs. Bad Goals
  • 13.10 What is a KPI? How Many KPIs? Picking the Right KPIs Attributes of a Great KPI
  • 13.11 Bounce Rate: Metric or KPI?
  • 13.12 Average Order Value: Metric or KPI?
  • 13.13 Page Value: Metric or KPI?
  • 13.14 KPI Definition Worksheet

Lesson 14 - ​ ​ Fundamentals of Digital Analytics

  • 14.1 Introduction of Digital Analytics
  • 14.2 Understanding 10/90 Rule, 20/80 Rule
  • 14.3 Digital Analytics Maturity Model
  • 14.4 Why Maturity? | Maturity Model / Framework
  • 14.5 Identify Critical Success Factors
  • 14.6 Digital Analytics Maturity Model (DAMM)
  • 14.7 Using the Digital Analytics Maturity Model Role: Accountable Role: Responsible Role: Informed
  • 14.8 The Three Heads of Online Analytics
  • 14.9 Qualities of a Digital Analytics Leader
  • 14.10 Digital Analytics Association

Lesson 15 - Building Blocks

  • 15.1 Introduction to building blocks
  • 15.2 Google Analytics Interphase overview Dimensions, Metrics
  • 15.3 Building Blocks: Google Analytics
  • 15.4 GA Dimensions & Metrics Explorer

Lesson 16 - Privacy and Ethics

  • 16.1 Introduction to Privacy and Ethics
  • 16.2 The Impact of Ad Blocker
  • 16.3 The Digital Analytics Association Code of Ethic
  • 16.4 Ethics Guide According to Inc. Magazine
  • 16.5 10 Privacy Principles of PIPEDA
  • 16.6 General Data Protection Regulation (GDPR) (EU)

Exam Certification

How to take certification in advanced web analytics?

  • To get certified you need to complete at least 85% of the course or you have to attend one complete batch.
  • You also have to complete 7 mini projects along with 1 simulation test which has at least 60% of the minimum score.


Frequently Asked Questions

A :Yes, the exam fee is included in the course fee.

A :IgmGuru provides the course completion certificate and CPC expert certificate is provided by the Google itself.

A :IgmGuru offers 24/7 support through email, chat, and calls. We tend to even have a passionate team that gives on-demand help through our community forum. What’s a lot of, you may have lifespan access to the community forum, even once completion of your course with us.

A :Our teaching assistants are a fanatical team of material consultants here to assist you to get certified in your initial try. They have interaction with students proactively to confirm the course path is being followed and assist you to enrich your learning expertise, from the category onboarding to project mentoring and job help. Teaching help is accessible throughout business hours.

A :All of our extremely qualified trainers are AWS certified with years of expert coaching and dealing within the cloud domain. Every one of them has had a rigorous choice method that has profile screening, technical analysis, and a coaching demo before they're certified to coach for us. we have a tendency to conjointly make sure that solely those trainers with a high alumni rating stay on our faculty.

A :The tools you’ll need to attend training are: • Windows: Windows XP SP3 or higher • Mac: OSX 10.6 or higher • Internet speed: Preferably 512 Kbps or higher Headset, speakers, and microphone: You’ll need headphones or speakers to hear instruction clearly, as well as a microphone to talk to others. You can use a headset with a built-in microphone, or separate speakers and a microphone.

A :All of the categories square measure conducted via live online streaming. they're interactive sessions that modify you to raise queries and participate in discussions throughout category time. We do, however, offer recordings of every session you attend for your future reference. categories square measure attended by a world audience to complement your learning expertise.

Advanced Web Analytics Certification Online Training

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