Startup School: Google Data Studio Event Registration

Please note this event is for startups only

This event is friendly to all of the Americas. To help you set time for it, here is some timezone help:


Date: 21 Apr 2021


Pacific Daylight Time: 12:00PM

Central Standard Time: 1:00PM

Eastern Daylight Time: 3:00PM

Brasilia Standard Time: 4:00PM


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Startup School is a set of practical hands-on trainings to advance founders and their teams by providing them with tools and skills growing startups need. The highly interactive sessions cover a range of topics varying from digital marketing, product specific knowledge to business strategy. They are delivered live to a small group of startup founders and employees by professional trainers, Google experts, and industry specialists. 

Find out more about all the courses at: campus.co/startupschool 

Overview

Data Studio is Google’s dashboarding / reporting tool that allows you to visualise data from most Google products (and from other tools through using Google Sheets) in an appealing, user-friendly way.

We will help you to understand from both a technical and a strategic point of view how your organisation can get the most out of this free product and tell a story using data.

Course agenda

  1. Introduction to Google Data Studio - What can it do for you and how does it work? 
  2. Measurement Planning - What data sources are available for use and how do you configure them in Data Studio? Creating a schema and a wireframe.
  3. Telling a Data Story - How do you use the dashboarding interface and what are some best practices for creating a great dashboard?

Who should attend   

Any startup founder who wants to create great visualisations to drive greater understanding of online and offline performance.

What you’ll gain

A working knowledge of Data Studio - how to create dashboards, configure data and apply design principles.

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About you

What best describes you? Founder or co-founder at a startup C-level at a startup Working at a startup, but not one of the above Tech freelancer/self-employed (e.g. developer, data scientist, UX/UI designer) Non-tech freelancer/self-employed (e.g. graphic designer, marketer, photographer) Founder/employee at a non-tech enterprise (e.g. retail, consumer goods, agency, consultancy) Student Other

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