The Ultimate Guide to Looker (Google Data) Studio 2023

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The Ultimate Guide to Looker (Google Data) Studio 2023 Udemy Coupon

The Ultimate Guide to Looker (Google Data) Studio 2023

Learn how to analyse your data and create stunning interactive dashboards with Google’s Business Intelligence tool

Created by Adam Finer | 5 hours on-demand video course

***** Enrol now in the most comprehensive and up-to-date (January 2023) course available for the Looker (Google Data) Studio platform! Learn how to turn your data into stunning dashboards that provide valuable insights! *****

Please note: Looker Studio is the new name for Google Data Studio. But only the name has changed, the interface and functionalities of the tool remain totally unchanged. All of the content of this course is relevant to Looker Studio and any new functionalities added to Looker Studio will be covered in new or updated video lessons added to the course.

The Ultimate Guide to Looker (Google Data) Studio 2023 is a great place to start your Business Intelligence (the process of turning data into insights) journey. This course has been designed and built to help you to go beyond Excel and harness the power of your data. To create stunning automated and interactive dashboards that will provide the precious insights that companies love!

What you’ll learn

  • Taught by a Business Intelligence pro with over 25 years’ experience working with data
  • Build stunning, automated, interactive dashboards and reports that effectively communicate your data
  • Learn how to manage, structure, prepare and connect to data for analysis
  • Construct all kinds of data queries and visualisations, from basic to advanced
  • Write custom calculated formulas using functions to dig deeper into your data
  • Learn how to master every chart, graph and table type that Google provides
  • Manipulate the results of queries to compare and correlate KPIs
  • Add conditional formatting to make your data stand out and easier to read
  • Apply filters and sorting to really hone in on the data you want to present
  • Work with date fields and apply comparison periods for trend analysis

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