Google Data Studio | Beginner to Expert
Requirements
- Google Account
Description
The goal of this course:
Be able to create insightful visualisations and data reports no matter what data source you've been given
To achieve this we'll go over:
- Basics of Google Data Studio
- How to add Data Sources (e.g. Google Analytics, Sheets, BigQuery, MySQL, Google Ads, Search Console, etc.)
- Add, format and style visualisations
- Manipulating data with date ranges, filters and segments
- Creation of custom metrics & blending of data sources
- Exporting, emailing & sharing of reports
For the visualisations, we'll go over: Graphs, Tables, Pivot Tables, Column & Bar Charts, Pie Charts, Geographic Maps, Scatterplots, and Score Cards
Who this course is for:
- Anyone interested in visualising data no matter whether your data source is Sheets, Google Analytics, PostgreSQL, CSVs or BigQuery
Instructor
![Ruben Portz](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 1,050 Reviews
- 26,005 Students
- 6 Courses
I'm the creator of TractionPad. An online platform where I share growth & marketing templates to help startups build repeatable sales systems.
Before that, I worked as the Head of Growth at Seneca Learning which is an online learning platform that I've helped grow to over 6 million users and expand internationally. I've also spent a year in Venture Capital supporting a portfolio of Seed & Series A startups. I'm also a guest lecturer at Imperial College London for the MEng in Design Engineering programme and work as an Entrepreneur in Residence during the yearly London School of Economics startup accelerator.