Google Analytics Beginner to Intermediate | Hands-On Lessons

Grasp the data model behind the online funnel and how Google Analytics uses dimensions and metrics. Visualize the funnel with a diagram and map it to the user journey.

Explore the data model behind the online customer funnel in Google Analytics, detailing audience, acquisition, behavior, and conversions, plus metrics like bounce rate, landing pages, and goals.

Demystify the customer data trail by tracing a beginner shopper journey from organic search to cart and conversions, covering audience, acquisition, behavior flow, site content, and goals in Google Analytics.

Illustrate how a five-minute interaction with the Google merchandise store generates a data trail in Google Analytics, highlighting audience overview, acquisition reports, and search console metrics.

Master key Google Analytics terms like users, page views, sessions, unique page views, landing pages, bounce rate, time on page, channels, referrals, search queries, conversions, and conversion rate.

Sign into your Google account and access the Google Analytics demo account to explore the audience overview report and the analytics home.

Learn to locate the correct demo account in Google Analytics, open the Google Merchandise Store, and select the master view to access the course's required demo data.

Explore the three Google Analytics user types: report user, minimal administrator, and administrator, and their access, setup, and reporting responsibilities. The course emphasizes report users and essentials for minimal administration.

Set up your own Google Analytics account and configure the tracking code, then create a separate data-access account in the admin section to access website data.

Explore google analytics reports ui with a map-like data model, distinguish standard and special reports, and practice configuring segments, time, dimensions, and metrics to drill down data, including flow reports.

Use the five step process to steer to the report in Google Analytics, examining audience demographics like gender, adjusting time ranges and segments, and interpreting dimensional reports for insights.

Analyze organic search queries to discover why users visit the Google merchandise store. Configure a report for the last year or five years to reveal topics that attract attention.

Use the diagram to identify the right acquisition reports in Google Analytics, focusing on search queries and keywords. Learn how time range affects insights into organic search.

Practice with the live demo traffic sources in Google Analytics real time; numbers vary, but foundational concepts stay the same, and complete or watch exercises to learn online customer funnel.

Master time range controls in Google Analytics, using the calendar and predefined date ranges to set, apply, and compare periods. See how the compare feature and segments influence report data.

Master the time series chart in Google Analytics, explore the explorer view, compare sessions and bounce rate across time, and adjust the resolution from day to month for ecommerce insights.

Explore the dimensional report in Google Analytics by selecting primary and secondary dimensions, switching metrics, and using filters, charts, and search to analyze mobile devices and revenue.

Master the Google Analytics reporting toolbar to save and manage reports. Export to PDF, CSV, Excel, or Google Sheets, share via scheduled emails, and edit insights for tailored reports.

Identify the right Google Analytics report to measure non-English users in the past 14 days for an online store, and configure it to answer this question.

Learn to locate the language report in Google Analytics via location overview and language-by-location, using last 14 days data and pie charts to show about 25 percent not using English.

Configure a report to explore how user language influences bouncing and resource needs for multi-language support, by modifying the report via a pie chart or adding a language segment.

Configure a google analytics report by switching the pie chart to show bouncers versus users and adding a balanced sessions segment to compare two segments throughout the report.

Explore dimensions and metrics in Google Analytics, where dimensions are data labels and metrics are numeric measurements, illustrated by city, sessions, and pages, with the concept of secondary dimension.

Explore multi-language support across a responsive website for tablet, phone, and desktop. Add a secondary dimension to the language report to view device category alongside bounce sessions.

Learn how to add a secondary dimension in Google Analytics using device category, view desktop, mobile, and tablet, adjust rows, and locate it under user's device category with helpful tooltips.

Define and apply segments in Google Analytics to isolate a subset of users by time, demographics, or behavior, and compare reports like channels, bounce sessions, and conversions.

Practice the five-step process to configure a report: replicate a channel report with primary dimension channel, secondary source, and percent of new users in a last three months bar chart.

Configure a channel report in Google Analytics by adjusting the time frame, setting primary as channel and secondary as source, and viewing new users with a bar graph.

Learn to use segments to identify new users who converted, showing how to add a converter segment and display the distribution of channels and sources for converters.

Add the converter segment from ad segments and compare it with all users and bounce sessions to see how direct traffic versus organic search and referrals convert.

Apply the data model and core Google Analytics features: dimensions, metrics, segment time. Learn the most commonly used reports that cover 80 percent of beginner use cases.

Explore the six commonly used Google Analytics reports, building on five already covered, and learn when to apply them for actionable insights.

Learn to read the audience overview in Google Analytics, tracking new versus returning visitors, bounce rate, and device trends, with view full report links for deeper geo and browser insights.

Explore the audience technology browser and OS report to see operating systems and device types, analyze acquisition, behavior, and conversions, and drill into mobile, desktop, and e commerce insights.

Learn how the acquisitions all traffic channels report differentiates channel from source/medium, use segments to analyze convertors, and interpret key channels such as organic, direct, referral, paid search, and display.

Analyze how users enter and navigate your site using the Google Analytics navigation summary in the behavior report, exploring entrances, previous pages, and next pages.

Analyze landing pages in Google Analytics by using the landing pages report, with primary dimension landing page and secondary dimensions like channel and source to evaluate traffic, conversions, and revenue.

I explain the goals overview report in Google Analytics, note that goals are configured by an administrator, and point to the next section for basics of defining goals.

Explore goals and conversions in the Google Analytics goals overview report, tracking start, abandonment, and completions with goal value. See where completions occur and how source/medium drives them.

Learn how to define simple goals in Google Analytics to simplify and visualize your online customer funnel, track progress with goals overview, goal flow, and reverse path insights.

Explore how the demo Google Analytics account defines goals: pages or screens, destination with regex, and smart goals, while understanding funnel order and goal IDs.

Clarify the roles of goals, events, and tags in Google Analytics, showing how tags collect event data and goals measure funnel milestones beyond page loads.

Explore the simplest three goal types: engagement, duration, and pages or screens progression, and learn to create custom goals with optional monetary value using templates as a guiding reference.

Explore Google Analytics goals: you can edit up to 20 engagement-oriented goals and reuse them, but you cannot delete any goal; turning a goal off stops data recording.

Shows how to set up a destination goal in google analytics using the newsletter sign-up path, with equals to and begins with options.

explore Google Analytics goal templates, highlighting revenue, acquisition, inquiry, and engagement, with examples like place an order and create an account, and understand that templates are only suggestions.

Analyze goal metrics in Google Analytics, including starts, completions, abandonment rate, goal value, and conversion rate, using a shopping cart example across sessions.

Explore audience cohort analysis in Google Analytics, focusing on acquisition date cohorts and retention over days, and compare cohorts using a time series chart to assess feature changes.

Explore the Google Analytics users flow to trace how users move from country pages through interactions, highlighting volumes and exits, with filters and steps.

Learn how to use Google Analytics goal flow to analyze conversions, navigate goals, filter by source, compare with user flow, and identify drop-offs with segments and exports.

Explore the shopping and checkout behavior reports in Google Analytics, highlighting how e-commerce setup with tag manager enables insights on sessions, add-to-cart, abandonments, and revenue.

Use advanced reports to compare 2019 data share promo and AW campaigns against normal traffic, focusing on purchases completed and drop-off, with PDFs for the meeting.

Explore advanced reports in Google Analytics to compare campaigns, filter by time range and metrics, examine user flow and the paths to purchase, and export clear visuals for meetings.

Learn how to create and edit custom reports in Google Analytics, export data to familiar tools, and navigate the platform’s complex UI to streamline reporting.

Learn how to create custom reports to tailor analytics views, export data to Excel, and save time by editing or building from existing reports.

Learn how to create your first custom report in Google Analytics by selecting metrics and dimensions, and explore adding segments, secondary dimensions, and charts.

Learn to recreate the affinity categories report in Google Analytics by building a custom report from scratch, editing metrics and dimensions, and comparing results with the audience interests report.

Learn how to build and edit custom explorer reports in Google Analytics, using tabs, metric groups, and drill-down dimensions; compare filters with segments and manage report visibility across views.

Build flat table reports in Google Analytics by defining dimensions and metrics, comparing them with explorer reports, and exploring all dimension combinations for export-ready data.

Create a flat table report in Google Analytics by selecting three dimensions, including affinity categories, with five metrics to analyze how affinity categories of users affect e-commerce.

Create a flat table report in Google Analytics using affinity categories and e-commerce metrics such as revenue per user, transactions, goals, and product views, with dimensions like channel and age.

Learn to export, share, and save custom reports in Google Analytics, including applying date ranges, segments, and various formats like PDF, CSV, Excel, and Google Sheets.

Explore timestamping exported data by using the time dimension in custom reports, adding date and hour (and minutes if needed) to track metrics like users, bounce rate, and revenue.

Edit the channels report to set the drill-down order to channels, country, and age, and add a site usage tab to show six metrics without drilling down.

Edit the channels report by adding channel, country, and age, and create a flat site summary tab in a flat table to view three dimensions at once, with six metrics.

Master regex basics in Google Analytics, a programming-language approach to regular expressions, describing text patterns for segments and filters, using contains, starts with, ends with, or with vertical bars.

Develop a custom Google Analytics report using regex to analyze landing pages, focusing on new users and bounce rate, and export weekly Excel for pages not containing Aperol or lifestyle.

Build a custom landing page report in Google Analytics with landing page as dimension and metrics like new users and bounce rate, using regex to exclude Aperol or lifestyle pages.

Explore how regular users navigate Google Analytics' admin area, manage personal tools and assets like segments, scheduled emails, and saved reports, and share configurations with others.