
Explore a marketing-driven approach to Google Analytics 4, learn data modeling, build custom reports with Data Studio, and implement data collection via Tag Manager.
Analyze website data with Google Analytics by organizing reports around five aspects—traffic, relevance, engagement, sustainability, and meaningfulness—and using tailored reports to track returning users and conversions.
Explore how to analyze website traffic in GA4 using the user acquisition report, distinguishing direct, organic, and referral sources, and interpret spikes across channels for data-driven insights.
Learn to track channels, sources, and mediums with utm parameters in Google Analytics 4, and classify traffic by campaigns, terms, and source medium for precise reports.
Customize channel groups in Google Analytics 4 by creating groups with conditions like UTM medium contains email, then apply them in reports to organize traffic by source and campaign.
Discover how Google Analytics channels website data into an account via data streams and a measurement id, using a JavaScript code in the head sections of pages to fire events.
Explore how Google Analytics models data through events—automatic, recommended, custom, and enhanced—using measurement ID and Google Tag Manager to capture page views, menu clicks, and view item lists.
Explore page-level analytics in Google Analytics 4, analyzing pages and screens, engagement time, and key events like add to cart and purchase to optimize conversions.
Explore cohort analysis reports in Google Analytics to measure visitor sustainability, retention, repeat visitors, and return on spend, guiding profitable marketing decisions.
Explore Google Analytics 4 retention reports to analyze new and returning users, cohort retention, and engagement trends with forward-looking day-by-day cohorts.
Explore what attribution modeling is and why it matters, using multi-channel journeys to illustrate first-click credit allocation and its limitations for guiding marketing spend.
Learn ecommerce data modeling with Google Analytics 4, mapping events from view item list to purchase, including variants, transaction details, and key events like add to cart and checkout.
Learn to model Google Analytics 4 data for non-standard websites by creating homogeneity across heterogeneous flows, mapping to GA concepts like view item, view item list, and add to cart.
Model heterogeneous website interactions into GA4 events—view item, view item list, add to cart, checkout, and purchase—to form a unified funnel across pages.
Master Data Studio chart types to visualize Google Analytics data, using time series, pie, bubble charts, and a bubble map with dimension and metric customization.
Learn to customize data in Google Data Studio with formulas and arithmetic, creating custom metrics like ecommerce purchases proportions and product funnels from view item list to purchase.
Identify digital marketers and analysts as target learners; this six-chapter, code-light hands-on project teaches Google Analytics data customization with Google Tag Manager through a website, exercises, and event implementation.
Google Analytics 4 is the future of Google Analytics, released in 2020 and getting a wide range of acceptance. Therefore, it is time for all of us to be ready to master it. This course helps you achieve the same.
We analyze all the reports in Google Analytics 4 – Acquisition reports, Retention Reports, Engagement Report, Events, Conversions, Monetization Reports
We get a thorough understanding of how to create powerful custom reports in GA4 and Google Data Studio.
We learn to install Google Analytics and Google Tag Manager on a website and tailor the data in google analytics as needed by your business.
For the assignment, we have a project in which you install a website, the files for which are shared in this course, connect with google analytics and tag manager and we together attempt the customization activities. You don't have to do any coding whatsoever.
Therefore, all in all, this is truly a comprehensive course on Google Analytics 4 for you to gain mastery.
If you are not convinced yet, check out the open videos from the courses, check out the reviews on my other Udemy courses, and then make a decision.
Reviews from my other google analytics course:
5* The course was very well put together, The course instructor is very calm and composed and explains every aspect of the course with great detail and clarity. I will definitely recommend this course and Mr. Rudranil Chakrabortty to all Enhanced E-commerce enthusiasts.
5* Thank you for this course, it is very well structured and really insightful. I really enjoy it :)
5* Very Nicely explained & very well-paced. What was amazing was the efforts taken to guide & enable us to deploy data layers & tags from our side on a website that makes this course outstanding & like on-the-job training for practice. It was very easy to understand & thank you for making such a wonderful course Rudranil. I have also purchased your other course on enhanced e-commerce to learn & specialize more in-depth on the ecom. Thank you & keep making more courses like this Rudranil.
5* This is such as great course that made me want to take the rest of Neil's course. I am indeed taking another one of his courses. The course content helped me configured our company's new website analytics. Neil's teaching style is very clear, structured, practical, industrial, and full of important contents. Neil does care about his students and very responsive to all the questions I have. Highly recommenced!
5* I totally loved the course content. I'd highly recommend it for all those learners who wish to learn they WHYs and the HOWs. Although, I'm not from analytical background and earlier I never believed in the power of Analytics due to my limited understanding, but this course really helped me to expand my horizons and look beyond traditional ways of doing things. Above all, the instant and detailed answers to all my questions by Rudranil was beyond my expectations. Thank You veyr much Rudranil :) All the best!
I hope to meet you in the course.