Description
Certification Name: Certificate in Web Analytics Professional
Course Id: CWAP/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Web Analytics Professional course is designed to train learners in collecting, analyzing, and interpreting web data to optimize online performance, improve user experience, and support data-driven decision-making. The course covers key concepts in digital analytics, including traffic analysis, user behavior tracking, conversion optimization, KPI setting, and campaign performance measurement.
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1: Introduction to Web Analytics: Understanding the role of web analytics in digital strategy and performance tracking, Key concepts: metrics vs KPIs, dimensions, sessions, bounce rate, conversions, Overview of analytics platforms: Google Analytics, Adobe Analytics, Matomo, Importance of data-driven decision-making in web environments, Types of websites and their analytics goals (e-commerce, blogs, media, corporate), Setting up analytics goals aligned with business objectives.
Module 2: Google Analytics and Platform Setup: Setting up Google Analytics 4 (GA4) for websites and apps, Understanding account structure: property, data stream, and view, Implementing tracking code and verifying data collection, Configuring events, conversions, and user properties, Setting up filters, internal traffic exclusions, and data retention, Connecting Google Analytics with Google Tag Manager and Google Ads.
Module 3: Data Collection and Tag Management: Introduction to Google Tag Manager and its role in data collection, Creating tags, triggers, and variables for custom events, Tracking button clicks, form submissions, scroll depth, downloads, Debugging and testing tags using GTM preview mode, Using UTM parameters for campaign tracking and attribution, Managing pixels and third-party integrations (Facebook Pixel, LinkedIn Insight Tag).
Module 4: Reporting and Data Interpretation: Navigating standard and custom reports in GA4, Analyzing user acquisition, behavior, engagement, and retention, Understanding traffic sources: organic, paid, referral, direct, Analyzing funnel reports, path analysis, and user journey flows, Creating custom dashboards and visualizations in Data Studio, Interpreting metrics to generate actionable insights.
Module 5: Conversion Tracking and Optimization: Setting up and measuring goals: form fills, purchases, downloads, Understanding attribution models and conversion paths, A/B testing fundamentals using Google Optimize and other tools, Identifying and resolving UX drop-offs using behavioral data, Using heatmaps, session recordings, and click tracking tools (Hotjar, Crazy Egg), Conversion rate optimization strategies based on data insights.
Module 6: Advanced Analytics and Career Preparation: Segmentation and cohort analysis for deep audience insights, Integrating analytics with CRM, CMS, and marketing automation tools, Basics of data privacy laws: GDPR, CCPA, and cookie compliance, Building a portfolio with sample reports, audits, and optimization plans, Freelancing and in-house roles in web analytics and digital marketing, Staying updated with AI-driven analytics, predictive modeling, and real-time data platforms.
