AI & Data

Data Visualization in Looker Studio Training

Looker Studio (formerly Google Data Studio) is a tool for collecting data and visualizing it in the form of tables and charts.

Duration
6h
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Who it's for

Ideal for teams that…

1 People working with data processing and analysis who want to automate reporting and improve communication of insights
2 Specialists working in the Google ecosystem (Marketing Platform, Cloud) who want to improve their reporting skills
3 Data analysts and data engineers
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Understand key concepts of data visualization and what makes a good dashboard

✓

Learn the Looker Studio interface, features, and best practices for designing clear dashboards

✓

Work with various data sources, including Google Sheets, CSV files, SQL databases, BigQuery, Redshift, and Google Analytics

✓

Combine multiple data sources into a single dataset (data blending)

✓

Create and customize dashboards with interactive elements, filters, and parameters

✓

Share and publish reports, automate delivery, and embed reports into external tools

Program · 5 modules

What we actually do

M01
Module 1 – Introduction to Data Visualization and Looker Studio
  • · Key concepts of data visualization – what makes a good dashboard?
  • · Reports vs dashboards – main differences in design principles
  • · Looker Studio interface and layout overview
  • · Charts that catch attention – good, bad, and ugly examples
M02
Module 2 – Basic Functions and Working with the Interface
  • · Tables and charts – overview of key chart types and their use cases
  • · Dimensions and metrics
  • · Filters
  • · Styling (practical exercises)
  • · Adding and managing controls (filters, date ranges, data selectors)
  • · Adding images, shapes, and other dashboard components
  • · Filtering data using filters, parameters, and data source segments
  • · Exploring data in the analysis area
M03
Module 3 – Data Sources in Looker Studio
  • · Importing data from Google Sheets and CSV files
  • · MySQL
  • · PostgreSQL
  • · Cloud SQL
  • · BigQuery
  • · Amazon Redshift
  • · Integrating with Google Analytics and Google Ads
  • · Using third-party connectors for additional data sources
  • · Data blending – combining data from multiple sources
  • · Creating calculated fields in data sources
M04
Module 4 – Report Settings in Looker Studio
  • · Configuring themes and customizing dashboard layout
  • · Managing page settings in complex dashboards
  • · External tools useful for visualization work
  • · Tracking user interactions with Google Analytics
M05
Module 5 – Sharing Reports with Other Users
  • · Publishing settings and versioning
  • · Methods for sharing Looker Studio reports
  • · Scheduling automatic email delivery of reports
  • · Embedding reports into external tools
  • · Exporting reports to PDF and Google Sheets
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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