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Courses / Google Analytics / Google Analytics Intermediate Training
Google Analytics · Level 03 · Corporate 3 Days

Google Analytics Intermediate Training

Clean up traffic sources, measure each stage of the customer journey and sales, and implement advanced tracking with Tag Manager. Learn Google Analytics through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.

Last updated

Selected levelIntermediate
Live onlineMax 8-10 hrs
Corporate (day-wise)3 Days
Self-paced LMS1 year
NEXT COHORT · 1st of next month

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

00Days
00Hrs
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Max 10 learners per batch · weekend batch first Saturday of the month
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Trusted learning ecosystem for engineering teams
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About The Course

About Google Analytics Intermediate Training.

Understand where Google Analytics fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.

Program overview

Google Analytics is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.

This DevOpsSchool Google Analytics program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Intermediate.

Visible agenda on this page: Foundation to Intermediate.
Corporate Training

Private Google Analytics training for delivery teams, platform groups and engineering organizations.

DevOpsSchool provides corporate Google Analytics training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.

  • Private online or classroom delivery for engineering teams
  • Aligned to Google Analytics usage maturity, admin depth and collaboration patterns
  • Useful for rollout, migration, governance and workflow consistency goals
  • Can be tailored for developers, administrators, DevOps teams and leadership stakeholders

Why teams use DevOpsSchool

DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.

Training Options

Instructor-led, self-paced and corporate delivery options.

Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.

DurationModeLevel accessBatch
8 to 10 Hrs. maxLive & InteractiveIntermediatePublic batch
8 to 10 Hrs. max1:1 Live trainingIntermediateStarts immediately
1 year LMS accessSelf-paced videoAll 4 levelsAnytime access
3 DaysCorporateGoogle Analytics Intermediate TrainingPrivate team batch
Learning Outcomes

What learners should be able to do after Google Analytics training.

The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.

Implement GA4 correctly

Set up properties, data streams, the Google tag, events and key events that produce trustworthy data.

Measure campaigns and conversions

Tag campaigns, track ecommerce and journey milestones, and connect Google Ads and Search Console.

Turn data into decisions

Use explorations, segments, imported data and BigQuery to answer business questions and share insights.

Course Fit

Why this skill, what you will achieve, and who should attend.

Use this section to decide whether the course matches your role, current experience and expected Google Analytics responsibilities before reviewing the detailed agenda.

Why Google Analytics matters

  • Google Analytics helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
  • It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
  • For DevOps and platform teams, Google Analytics becomes more valuable when connected with automation, governance, monitoring and delivery practices.
  • Teams using Google Analytics effectively reduce ad-hoc execution and move toward consistent engineering standards.

Objectives

  • Understand Google Analytics concepts, architecture, terminology and operational usage patterns.
  • Learn practical configuration, workflow design, access controls, team usage and quality practices.
  • Apply Google Analytics in real delivery workflows using automation, integrations, traceability and governance patterns.
  • Build practical confidence to use Google Analytics for individual, team and organizational use cases.

Pre-requisites

  • Basic computer literacy and familiarity with software development workflows.
  • Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
  • No deep programming background is required for the Foundation and Essential levels.

Who this course is for

  • Developers, administrators and engineers who need practical Google Analytics usage skills.
  • DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
  • Engineering leads and technical managers responsible for workflow quality, access controls and governance.
  • Corporate teams migrating to or standardizing on Google Analytics.
Cohort Schedule

Small-batch live training starts every month.

Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.

Weekend live batch

Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.

Weekday live batch

Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.

Ask advisor
Agenda Inheritance

Agenda depth up to the selected level.

This page shows the learning flow from Foundation through Intermediate. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.

Foundation Level: GA4 concepts, setup, interface and basic reportsDay 1
  • Introduction and why digital analytics: measuring websites and apps to answer real business questions
  • How Google Analytics works: the GA4 event-based data model, Google tag, data streams and processing
  • Features of Google Analytics: reports, Explorations, audiences, key events, BigQuery export and the Universal Analytics sunset
  • Google Analytics setup: creating an account, property and web data stream and installing the Google tag
  • Organize your Analytics account: account, property and data stream structure and user access roles
  • Data filters (the GA4 replacement for views with filters): excluding internal and developer traffic
  • The Google Analytics interface: navigating Home, Reports, Explore, Advertising and Admin
  • Understanding overview reports and full reports: summary cards, detail tables and date comparisons
  • Dimensions and metrics: users, sessions, engaged sessions, engagement rate, event count and key events
  • Basic reports: Realtime, acquisition reports, engagement (behavior) reports and user (audience) reports
  • How to share reports and set up dashboards and shortcuts: share links, downloads and report collections
  • Data collection and processing: enhanced measurement, data retention settings and processing latency
Essential Level = Foundation + events, custom data, campaigns and conversion trackingDay 2 · 2 days cumulative
  • Setting up data collection and configuration: recommended events, custom events and event parameters
  • Understand user behavior with event tracking: gtag event calls, Google Tag Manager event tags and DebugView
  • Create your own custom dimensions: event-scoped and user-scoped custom dimensions and their limits
  • Create your own custom metrics: event-scoped custom metrics and units of measurement
  • See Google Analytics results: where do visitors come from, direct, referring sites and search engines
  • Tagging campaigns for email, social media and offline marketing: UTM parameters and QR code links
  • How to measure custom campaigns: tracking campaigns with the URL Builder and the campaign reports
  • Basic campaign and conversion tracking: use key events (formerly goals) to measure business objectives
  • Audit and conversion tracking: verifying tags with Tag Assistant and DebugView and auditing key events
  • Google Analytics and Google Webmaster Tools: linking Google Search Console for queries and landing pages
  • Google Ads in Google Analytics: how to find Google Ads reports, linking, auto-tagging and measuring Google Ads campaigns
  • Reports menu: conversions visitors (key events by user), audience demographics and acquisition
  • Sub-domain tracking: one data stream across subdomains with the Google tag or Google Tag Manager (formerly Universal Analytics)
  • Cross-domain tracking: configuring domains in the Google tag or Google Tag Manager to keep sessions intact
Intermediate Level = Essential + traffic quality, customer journey, ecommerce and GTMDay 3 · 3 days cumulative
  • Understanding traffic: how to avoid fractured campaign reports with consistent UTM naming
  • Structuring your incoming traffic tags: utm_source and utm_medium conventions and custom channel groups
  • Fixing traffic sources that don't report in a useful manner: (not set), self-referrals and unwanted referrals
  • Understanding results: the three milestones every user faces in the customer journey
  • How to set Google Analytics goals for each of those milestones: micro and macro key events per funnel stage
  • How to track your sales: ecommerce events view_item, add_to_cart, begin_checkout and purchase, revenue reports
  • See how your audience navigates between pages of your site: path exploration and pages and screens reports
  • Learn who your audience is and how they interact with your website: user attributes, tech and engagement
  • Learn the best ways to use Google Analytics to get more traffic to your websites: landing page and referral analysis
  • Build, manage and share custom reports with your colleagues and boss: report customisation and the Library
  • Overview of Google Tag Manager and advanced tracking: tags, triggers, variables, dataLayer and preview mode
  • Consent Mode v2: consent banners, default and update consent states and behavioural modelling
  • Track the success of social media and marketing campaigns: campaign comparisons and attribution reports
Fees and Access

Choose live training or a full year of self-paced access.

If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

  • Start immediately: no waiting for the monthly batch.
  • One learner, one trainer: full attention on your questions.
  • Sessions planned around your working hours.
  • Your pace, with examples from your own projects and tools.
Training Method

Method of training and assessment.

The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.

SLMethod of training and assessmentWeightage
1Understanding the problem space5%
2Concept discussion10%
3Live demo and walkthrough25%
4Lab and hands-on exercises50%
5Assignments and evaluation10%
Hands-On Labs

Labs, exercises and real workflow practice.

Every level moves from explanation to hands-on practice, review and troubleshooting.

Set up GA4 on a website

Create a GA4 property and web data stream, install the Google tag, filter internal traffic and verify live data in Realtime and the basic reports.

Foundation

Track campaigns and key events

Add custom events and dimensions, mark sign-ups as key events, tag an email and a social campaign with UTMs and link Search Console and Google Ads.

Essential

Measure a full customer journey

Implement ecommerce and journey-stage key events through Google Tag Manager with consent mode, fix messy traffic sources and build a shared report.

Intermediate
Connected Toolchain

Google Analytics is taught as part of a working delivery ecosystem.

You learn where the tool sits in the wider engineering workflow, not in isolation.

Core foundations

Terminology, concepts, architecture and the operating model behind the tool.

Workflow traceability

Map practical work to tasks, approvals, documentation and delivery visibility.

Automation and integration

Use Google Analytics with validation checks, automation hooks and delivery workflows.

Governance controls

Operate with permissions, approvals, policy checks and production-safe workflows.

Assessment Path

How your practical work is assessed.

Your certificate is backed by labs, assignments, capstone thinking and completion evidence.

Assignments

Level-specific assignments verify setup, configuration, workflow quality and operating discipline.

Hands-on validation

Learners are expected to complete practical usage, automation and troubleshooting exercises.

Completion record

Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.

Led by Rajesh Kumar and the DevOpsSchool practitioner network.

Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.

Certificate

Earn a DevOpsSchool Google Analytics certificate.

Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Google Analytics level.

Certificate verification

Certificate of Completion

Google Analytics Intermediate Training

Unique credential ID, verifiable online

Learner Reviews

What learners say about training with Rajesh Kumar.

★★★★★

“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”

Indrayani, India · rated 5.0 on DevOpsSchool testimonials
★★★★★

“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”

Sumit Kulkarni, Software Engineer · rated 5.0 on DevOpsSchool testimonials
★★★★★

“The training was very useful and interactive. Rajesh helped develop the confidence of all.”

Abhinav Gupta, Pune · rated 5.0 on DevOpsSchool testimonials

Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.

Used by developers, DevOps engineers, release leads and engineering managers.

Private batches are available for teams that want the same agenda aligned to their own tools and workflows.

Comparison

Why this Google Analytics path is different.

The value is not only one course. The subscription unlocks the full learning ecosystem for one year.

FeatureDevOpsSchool Google Analytics TrainingTypical short course
LevelsFoundation, Essential, Intermediate, AdvancedSingle generic syllabus
Self-paced accessAll four levels plus 20+ courses and 50+ toolsUsually one course only
Live trainingDemos, labs, Q&A and assignment reviewOften lecture-heavy
CertificateDevOpsSchool completion certificateVaries by provider
FAQ

Questions learners ask before joining.

Does Foundation cost less than Advanced?

No. Self-paced pricing is intentionally the same because access includes all four levels by default.

What is included in the yearly subscription?

One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.

Can corporate teams request customization?

Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.

What is the recommended sequence?

Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.

Need Assistance

Talk to DevOpsSchool before choosing the batch.

Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Google Analytics level fits your team.

Related Blogs

Extend the course with articles, explainers and workflow guidance.

Continue learning with supporting articles that connect Google Analytics practices to DevOps, automation, governance and delivery workflows.

Start Google Analytics Intermediate training.

Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.

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