HN Academy

The best online courses of Hacker News.

Hacker News Comments on
Introduction to Supermetrics for Data Studio and BigQuery

Udemy · Lachezar Arabadzhiev · 1 HN points · 0 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Udemy's "Introduction to Supermetrics for Data Studio and BigQuery" from Lachezar Arabadzhiev.
Course Description

Welcome to "Introduction to Supermetrics™ for Data Studio and BigQuery"! In this quick crash course, you are going to learn how to automate data reporting by using Supermetrics and its wide range of connectors. Often, when faced with multiple data sources, from platforms like Facebook Ads, Twitter and Campaign Manager (CM360), it becomes difficult to ensure they are always up-to-date, error-free and follow consistent formatting. Therefore, to automate your reporting, you need a tool like Supermetrics to connect the pipes and allow your data sources to get to their destinations in the most efficient way possible. The course is aimed at beginners and those who are starting their journey in reporting automation.

By the end of the course, you will be able to:

  • Pull data directly into your Data Studio report from multiple sources, including Facebook Ads, Google Analytics and etc.

  • Eliminate hours of manual work by scheduling data transfers and automating your marketing reporting.

  • Plug into all your BigQuery tables with one data source instance and pulls all that data neatly into Data Studio.

  • Get access to 20+ dashboard customizable templates for SEM, paid & organic social media, programmatic advertising, SEO, web analytics, and more.

BONUS: Once you complete the course, you get a 20% discount from any Supermetrics subscription via a special promo code!

What is Supermetrics?

Supermetrics tools automatically fetch data from multiple platforms (e.g. Twitter Ads, Facebook Ads, Google Analytics...) and pull it into any destination (Data Studio, Google Sheets, Excel). It also allows you to set up automatic data refreshes and scheduled emails. This eliminates the need to copy-paste marketing data into a reporting or data visualization platform.

Who is the instructor?

Lachezar Arabadzhiev is a digital markitech with 4+ years of experience in performance analytics and data visualization. Lachezar began his career as a digital marketer at Microsoft, but soon transitioned to the measurement and analytics world, where he has had the opportunity to work with major brands such as Air Canada, RBC, Kimberly-Clark, Mazda and HSBC.

Lachezar has been working with Data Studio and BigQuery since early 2017 and has built a wide variety of visualizations and automation flows. From performance-based dashboards with joined GMP sources (Google Analytics 360, Campaign Manager and Display & Video 360) to audience-driven segmentation views with user-level eCommerce data.

Lachezar is a certified GMP expert and an official speaker at the Canadian Google Data & Analytics Summit, 2018.

HN Academy Rankings
  • Ranked #16 this month (jan/feb) · view
Provider Info
This course is offered by Lachezar Arabadzhiev on the Udemy platform.
HN Academy may receive a referral commission when you make purchases on sites after clicking through links on this page. Most courses are available for free with the option to purchase a completion certificate.
See also: all Reddit discussions that mention this course at

Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
Feb 12, 2021 · 1 points, 0 comments · submitted by arabadzhiev
HN Academy is an independent project and is not operated by Y Combinator, Coursera, edX, or any of the universities and other institutions providing courses.
~ [email protected]
;laksdfhjdhksalkfj more things ~ Privacy Policy ~
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.