Web Analytics Training in Vadodara - Arth Training Institute

Learn Web Analytics to get knowledge from the Data

Web Analytics Training

Web Analytics Training : Step By Step For Beginners to Advanced

Web Analytics Training Overview

Our Web Analytics Training equips learners with the skills to track, measure, and analyze website performance. You’ll learn how to interpret traffic data, user behavior, and conversion patterns to make data-driven marketing and business decisions.

Prerequisites

  • Basic Understanding of Web Concepts
  • General Knowledge of Digital Marketing (Beneficial)
  • Basic Computer Skills
  • Analytical Mindset

Web Analytics Training Includes

  • Introduction to Web Analytics
  • Setting Up Analytics Tools
  • Data Collection and Management
  • Analyzing Traffic and User Behavior
  • Advanced Analysis Techniques
  • E-commerce Analytics
  • Using Data for Decision Making

Key Highlights

  • Personal Coaching
  • Industry Experts with 15+ Years Experience
  • Morning, Noon, Evening Batch Timings
  • Training with Internship (Live Project Working)
  • Career Guidance
Web Analytics Cheatsheet

Course Content

Introduction

  • Introduction to Web Analytics:Unleashing the Power Data
  • Mastering Web Analytics: Unlocking Carrer Opportunities
  • Web Analytics Mastery: From Basics to Advanced Technique

Importance of Web Analytics

  • Types of web analytics
  • 4 main steps in the web analytics process
  • Basic and Additional Web Analytics Tools
  • Content and social media analysis tools
  • Highly specialised tools, and tools for analysing the traffic of competitor site
  • Web Analyst Profession
  • Professional skills and web analytics tools
  • Levels of professional competence
  • Introduction to Web Analytics

Goals & Key Performance Indicators

  • Business goals according to the Smart methodology
  • Website conversions
  • Key Performance Indicators (KPI). Attraction
  • Performance indicators and interactivity
  • Key Performance Indicators (KPI). Conversion metrics
  • Goals and Key Performance Indicators

Alternative & Advanced Tools

  • API Connectors: Process Your Data without Borders
  • Web Analytics Tools. Why Keep Your Options Open?
  • Practical Analytics With Piwik PRO
  • Cross-Channel Analysis of Your Marketing Activities

CRO Tools

  • The most effective CRO tools
  • Increasing conversions with better CRO funnel
  • The elements of the CRO process
  • Essential parts of CRO
  • Best CRO strategies
  • The importance of site usability for conversions
  • Metrics to measure CRO
  • Ways to measure CRO
  • How to calculate CRO
  • The biggest CRO mistakes

Web Analytics Road Map

  1. 1. Introduction to Web Analytics: purpose, terminology and KPIs
  2. 2. Understanding websites, HTTP requests, and browser basics
  3. 3. Tracking fundamentals: pageviews, events, sessions and users
  4. 4. Cookies, storage, user identifiers and privacy basics
  5. 5. Google Analytics 4 (GA4) setup & account structure
  6. 6. Measurement model in GA4: events, parameters, user properties
  7. 7. Google Tag Manager (GTM) fundamentals & container setup
  8. 8. Implementing dataLayer and structured event pushes
  9. 9. Event tracking strategy: naming conventions & taxonomy
  10. 10. Building a tracking plan and mapping business KPIs to events
  11. 11. Debugging & QA: Preview mode, GA Debugger, and Chrome DevTools
  12. 12. UTM tagging and campaign tracking best practices
  13. 13. Attribution basics & attribution windows
  14. 14. Channel grouping and traffic source analysis
  15. 15. Conversion tracking and goal configuration
  16. 16. E-commerce measurement: enhanced e-commerce, product & checkout tracking
  17. 17. Funnels, pathing and user flow analysis
  18. 18. Segmentation and audience creation
  19. 19. Cohort and retention analysis
  20. 20. User lifetime value and user-level analysis
  21. 21. Data visualization basics for analysts (charts, tables, storytelling)
  22. 22. Google Looker Studio (Data Studio) — building dashboards & reports
  23. 23. BigQuery basics for analysts — exporting GA4 to BigQuery
  24. 24. SQL for web analysts — selecting, filtering, aggregations
  25. 25. Excel/Sheets for analysis: pivot tables, formulas & VLOOKUP/INDEX-MATCH
  26. 26. Intro to Python for analytics (Pandas basics & simple scripts)
  1. 27. Data quality checks: sampling, filters, bot traffic and data validation
  2. 28. Tag auditing & automated tag scanners (best practice audit checklist)
  3. 29. Server-side tagging overview and when to use it
  4. 30. Privacy, consent management (CMPs) & GDPR/CCPA impacts on tracking
  5. 31. Alternative analytics platforms (Matomo / Piwik PRO / Plausible)
  6. 32. Session replay & heatmaps (Hotjar / Crazy Egg / Microsoft Clarity)
  7. 33. Conversion Rate Optimization (CRO) fundamentals & hypothesis design
  8. 34. A/B testing basics & tools (Google Optimize alternatives / Optimizely basics)
  9. 35. Experiment analysis & statistical significance
  10. 36. Event-driven attribution and multi-touch models
  11. 37. Advanced GA4 features: custom dimensions, audiences & user properties
  12. 38. Cross-domain and cross-device tracking techniques
  13. 39. Mobile analytics basics & app measurement (Firebase integration)
  14. 40. APIs for analytics: pulling data programmatically (GA4 API, BigQuery API)
  15. 41. Regular reporting workflows & storytelling with data for stakeholders
  16. 42. Building alerts & monitoring for analytics anomalies
  17. 43. Dashboards, scheduled reports & embedding reports into business tools
  18. 44. Analytics for marketing channels: search, social, email & paid ads analysis
  19. 45. Product analytics concepts: feature events, funnels & retention metrics
  20. 46. Building and presenting case studies — end-to-end analytics projects
  21. 47. Hands-on live project / internship: implement tracking, dashboards & optimization
  22. 48. Common analyst toolset: Postman, Git basics, and collaboration workflows
  23. 49. Soft skills: stakeholder communication, defining success metrics & prioritization
  24. 50. Preparing for roles: Web Analyst, Digital Analyst, CRO Specialist, Analytics Engineer
  25. 51. Interview prep: common analytics case questions & portfolio checklist
  26. 52. Upload portfolio & projects to GitHub / personal site and apply for internships

Your Instructor

Learn from an industry expert with proven excellence in training, consulting, and mentoring.

Mr. Adarsh Patel
Mr. Adarsh Patel
Corporate Trainer & Business Consultant 15+ Years Experience

Education: MCA (2009), B.Com (Computer) (2006)

Experience: Over 15 years delivering corporate training, consulting, and mentoring across IT and digital transformation domains.

Recognized for designing practical, project-based learning experiences and helping 2000+ students & professionals build strong careers in technology.

  • Programming: PHP, Python, Java, C/C++, Dart, Android Development
  • Frameworks: Laravel, ReactJS, Flutter, ASP.NET
  • Databases: MySQL, MongoDB, SQL Server, Oracle
  • Digital Tools: SEO, CRM, ERP, WordPress, AI Tools (ChatGPT, Gemini)
  • Special Skills: Software Consulting, Digital Marketing, Project Management

Delivered 200+ Expert Lectures and 80+ Workshops across universities, training institutes, and corporate organizations. Medium of Communication will be in English, Hindi or Gujarati.

  • Hands-on coding bootcamps for web and app development
  • Industry seminars on ERP, CRM, and Digital Transformation
  • Special workshops for entrepreneurs on business automation

Advised startups and enterprises on technology adoption, ERP/CRM solutions, and workflow automation.

  • 150+ consulting assignments with SMEs and corporates
  • Expert in business process mapping and software deployment
  • Guided companies on digital marketing and automation strategy
  • Recognized with multiple Appreciation Certificates from universities and corporates
  • Collaborated with 50+ organizations for training & development
  • Trained 2000+ students and professionals successfully
  • Invited as keynote speaker at IT summits and business forums
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Frequently Asked Questions — Web Analytics Training

Answers to common questions about the Web Analytics course at Arth Training Institute, Vadodara.

This course is ideal for students, digital marketers, website owners, analysts and developers who want to learn data-driven decision making using web analytics tools. Basic computer skills and an analytical mindset are recommended.
No strict prerequisites. Recommended: basic web concepts, general digital marketing awareness, and comfort using a computer. We cover fundamentals up to advanced topics.
Topics include analytics fundamentals, setting up Google Analytics (GA4), tag management, event tracking, conversion funnels, e-commerce analytics, reporting, cohort and segmentation analysis, CRO tools, Piwik PRO/alternatives, API connectors and practical live projects.
Duration varies by offering (short workshops to 3-month comprehensive programs). We provide morning, afternoon and evening batches — including weekend batches. Contact us to get the latest batch calendar.
Yes — we offer a free demo lecture. Use the "Request for Free Demo Lecture" form on this page or call/WhatsApp +91 9374969705 to book your demo seat.
Fees depend on the mode (regular, weekend, classroom, live online, recorded), batch type and any group discounts. Example: a 3-month regular batch is typically priced around ₹15,000 (subject to change). Please contact us for exact current fees and discounts.
Yes. On successful course completion you will receive a certificate from Arth Training Institute (digital image/PDF). Certificates are shown on the course page for reference.
Yes — the institute provides career guidance and internship opportunities for eligible students. Internships include live project work and practical exposure to analytics tools.
Arth Training Institute — 4th Floor-402, Plot No 19, Above Baby Hug Shanti Nagar, Near Prabhat Cross Road, Waghodia Rd, opp. Cosmos Bank, Vadodara - 390019, Gujarat, India. Call/WhatsApp: +91 9374969705 or email contact@arthtraininginstitute.com.

You are eligible for the following post after Training

  • Web Analytics Specialist
  • Web Analytics Manager
  • Digital Analytics Analyst
  • Senior Web Analyst
  • Web Analytics Consultant
  • Web Data Analyst
  • Digital Marketing Analyst
  • Web Analytics Developer
  • SEO and Web Analytics Specialist
  • Web Analytics Engineer

Request for Free Demo Lecture

Fees Structure

  • Fees Structure will be depends on the what type of course you are joining, for example if you are joining for regular batch for 3 month course then fees will be 15000/- if you are joining in group then fees discount will be applicable, for weekend batch fees will be different, For Faculty Development Program and Industrial Training Fees will be different.
  • Certification

    Web Analytics Training certification

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