Data Analytics Business Intelligence

Looker Studio for Analysts

Build reliable dashboards, model reporting data, and communicate insights with confidence

Log In to Enroll About this course Get unlimited access
Looker Studio for Analysts logo
Quick Course Facts
18
Self-paced, Online, Lessons
18
Videos and/or Narrated Presentations
6.1
Approximate Hours of Course Media
About the Looker Studio for Analysts Course

Looker Studio for Analysts is a practical Data Analytics course for analysts who need to turn business data into clear, trustworthy reports. You will learn how to build reliable dashboards, model reporting data, and communicate insights with confidence using Looker Studio in a real analyst workflow.

Build Reliable Data Analytics Dashboards With Looker Studio

  • Create professional dashboards that support stakeholder decisions and executive reporting.
  • Connect Google Sheets and common business data sources for practical analysis workflows.
  • Use calculated fields, parameters, filters, and blended data to answer deeper business questions.
  • Validate reports, improve performance, and publish dashboards with the right permissions and governance.

Learn Looker Studio for Analysts through hands-on Data Analytics reporting, dashboard design, data modeling, and insight communication.

This course begins with the foundations of Looker Studio, showing you how reports, pages, charts, and data sources fit into the broader analyst workflow. You will learn how to connect data from Google Sheets and common business systems, then prepare that data so your reports are easier to trust, maintain, and explain.

As you progress, you will model reporting data with dimensions, metrics, aggregation rules, calculated fields, dates, comparison periods, and time series analysis. These skills help you move beyond basic charts and build reliable dashboards that reflect how business performance is actually measured.

You will also develop the judgment needed to choose the right visualizations for trend, category, contribution, funnel, cohort, and segment analysis. Through filters, controls, interactive navigation, and parameters, you will create dashboards that let stakeholders explore answers without losing context or accuracy.

The course also covers quality assurance, source-system validation, sharing, permissions, report delivery, performance, and maintainability. By the end of Looker Studio for Analysts, you will be able to build reliable dashboards, model reporting data, and communicate insights with confidence in a portfolio-ready Data Analytics project.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations

2 lessons

Lesson 1: Understanding Looker Studio in the Analyst Workflow

18 min Preview
This lesson positions Looker Studio inside the analyst workflow: moving from business questions to data sources, modeled fields, dashboard pages, stakeholder review, and ongoing maintenance. It clarif…

Lesson 2: Navigating Reports, Pages, Charts, and Data Sources

17 min
In this lesson, students learn the working map of Looker Studio: reports contain pages, pages contain charts and controls, and charts are powered by data sources. The goal is to make the editor feel p…

Data Connections

1 lesson

Lesson 3: Connecting Google Sheets and Common Business Data Sources

20 min
In this lesson, students learn how to connect Looker Studio to Google Sheets and other common business data sources in a way that supports reliable analysis. The focus is not just clicking Add data , …

Data Modelling Basics

2 lessons

Lesson 4: Working with Dimensions, Metrics, and Aggregation

21 min
This lesson explains how Looker Studio decides what to group, what to calculate, and how totals are produced. Analysts learn the practical difference between dimensions, metrics, and aggregation, then…

Lesson 5: Cleaning and Preparing Data for Reliable Reporting

19 min
This lesson shows analysts how to clean and prepare reporting data before it reaches a Looker Studio dashboard. The focus is not advanced transformation engineering, but the practical modelling decisi…

Calculated Logic

1 lesson

Lesson 6: Creating Calculated Fields for Analyst Metrics

23 min
This lesson teaches analysts how to create calculated fields in Looker Studio that turn raw reporting data into usable metrics. It focuses on practical metric logic: ratios, conditional dimensions, bu…

Time-Based Analysis

1 lesson

Lesson 7: Using Dates, Time Series, and Comparison Periods

20 min
Time-based analysis is one of the most common reasons analysts build dashboards in Looker Studio. This lesson covers how to choose the right date field, configure date ranges, build time series charts…

Dashboard Construction

2 lessons

Lesson 8: Building KPI Scorecards and Executive Summary Sections

18 min
This lesson shows how to build KPI scorecards and executive summary sections in Looker Studio for analyst-facing dashboards. The focus is on selecting the right top-line metrics, configuring scorecard…

Lesson 9: Choosing Charts for Trend, Category, and Contribution Analysis

22 min
In this lesson, analysts learn how to choose Looker Studio charts based on the analytical question: trend, category comparison, or contribution to a total. The focus is not on making charts decorative…

Interactivity

2 lessons

Lesson 10: Designing Filters, Controls, and Interactive Report Navigation

21 min
This lesson shows how to design useful interactivity in Looker Studio reports without turning dashboards into confusing control panels. You will learn how filters, controls, date ranges, chart interac…

Lesson 11: Using Parameters for Flexible Analysis

20 min
Parameters let analysts turn a static Looker Studio report into a flexible analysis tool. In this lesson, you will learn how parameters differ from filters and controls, where they are useful, and how…

Advanced Data Techniques

1 lesson

Lesson 12: Blending Data Across Sources Without Misleading Results

24 min
This lesson teaches analysts how to blend data in Looker Studio without creating inflated metrics, mismatched dimensions, or misleading conclusions. Learners focus on the judgment required before blen…

Analytical Applications

1 lesson

Lesson 13: Creating Funnel, Cohort, and Segment Views

22 min
This lesson shows analysts how to turn reporting data into three high-value analytical views in Looker Studio: funnels, cohorts, and segments. You will learn how to structure each view, choose the rig…

Dashboard Design

1 lesson

Lesson 14: Designing Dashboards for Stakeholder Decision-Making

23 min
This lesson teaches analysts how to design Looker Studio dashboards around stakeholder decisions rather than around every available metric. Learners will define the dashboard audience, clarify the dec…

Quality Assurance

1 lesson

Lesson 15: Validating Numbers Against Source Systems

19 min
In this lesson, analysts learn a practical validation workflow for confirming that Looker Studio numbers match trusted source systems before a dashboard is shared or used for decisions. The lesson cov…

Publishing and Governance

2 lessons

Lesson 16: Managing Sharing, Permissions, and Report Delivery

17 min
In this lesson, analysts learn how to publish Looker Studio reports without losing control of access, data exposure, or stakeholder expectations. The focus is on practical governance: who can view, wh…

Lesson 17: Improving Report Performance and Maintainability

18 min
This lesson shows analysts how to make Looker Studio reports faster to load, easier to maintain, and safer to publish. The focus is practical governance: reducing unnecessary queries, simplifying repo…

Capstone Project

1 lesson

Lesson 18: Building a Portfolio-Ready Analyst Dashboard

25 min
In this capstone lesson, students assemble a portfolio-ready analyst dashboard in Looker Studio that demonstrates business judgment, clean data modeling, reliable calculations, and clear communication…
About Your Instructor
Professor Daniel Martin

Professor Daniel Martin

Professor Daniel Martin guides this AI-built Virversity course with a clear, practical teaching style.