Web Analytics & Digital Marketing Analytics – Zero to Hero Course

Web Analytics & Digital Marketing Analytics – Zero to Hero Course Course

A thorough, process-driven course that equips marketers and analysts with the end-to-end skills to collect, analyze, and act on digital marketing data.

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9.6/10 Highly Recommended

Web Analytics & Digital Marketing Analytics – Zero to Hero Course on Udemy — A thorough, process-driven course that equips marketers and analysts with the end-to-end skills to collect, analyze, and act on digital marketing data.

Pros

  • Clear frameworks and real-world examples of setting up and interpreting analytics data
  • Balanced coverage of technical implementation, analysis techniques, and reporting

Cons

  • Limited depth on advanced modeling (predictive, machine learning)
  • Focuses on Google ecosystem learners may need additional tools (Adobe Analytics, Mixpanel)

Web Analytics & Digital Marketing Analytics – Zero to Hero Course Course

Platform: Udemy

Instructor: Anil Batra

What will you in Web Analytics & Digital Marketing Analytics – Zero to Hero Course

  • Understand the digital marketing analytics lifecycle: data collection, processing, analysis, and optimization

  • Work with platforms and tools: Google Analytics, Google Tag Manager, and basic SQL for data querying

  • Define and track key performance indicators (KPIs): traffic, engagement, conversion rates, and ROI

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  • Segment audiences and perform cohort analysis to uncover behavior patterns

  • Design and execute A/B tests and multivariate experiments to improve campaign performance

  • Build automated dashboards and reports to communicate insights and drive data-informed decisions

Program Overview

Module 1: Analytics Foundations & Data Collection

⏳ 45 minutes

  • Overview of digital analytics and measurement frameworks (e.g., ACCORD)

  • Implementing tracking with Google Tag Manager: tags, triggers, and variables

Module 2: Google Analytics Setup & Configuration

⏳ 1 hour

  • Account, property, and view settings; setting up goals and event tracking

  • Configuring filters, segments, and custom dimensions/metrics

Module 3: Data Processing & ETL Concepts

⏳ 45 minutes

  • Data collection pipelines, data quality checks, and cleansing essentials

  • Intro to SQL queries for pulling web analytics data from BigQuery

Module 4: KPI Definition & Dashboarding

⏳ 1 hour

  • Selecting relevant KPIs for traffic acquisition, behavior, and outcomes

  • Building interactive dashboards in Google Data Studio or Excel

Module 5: Audience Segmentation & Cohort Analysis

⏳ 45 minutes

  • Creating user segments by behavior, demographics, and acquisition source

  • Performing cohort analyses to measure retention and lifetime value

Module 6: Experimentation & Optimization

⏳ 1 hour

  • Designing A/B and multivariate tests: hypothesis, sampling, and significance

  • Using tools like Google Optimize to implement and analyze experiments

Module 7: Attribution Modeling & ROI Measurement

⏳ 45 minutes

  • Comparing last-click, linear, time-decay, and data-driven attribution models

  • Calculating channel-level ROI and lifetime value for budget allocation

Module 8: Reporting & Stakeholder Communication

⏳ 30 minutes

  • Automating report delivery and narrative storytelling with data

  • Presenting insights and recommendations to marketing and executive teams

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Job Outlook

  • Analytics skills are in high demand for roles like Digital Analyst, Marketing Analytics Manager, and Growth Analyst

  • Applicable across e-commerce, SaaS, media, and retail for optimizing campaigns and user experiences

  • Empowers you to drive data-backed marketing strategies, improve ROI, and justify budget decisions

  • Provides a foundation for advanced studies: predictive analytics, machine learning, and customer journey modeling

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