Google BigQuery for Marketers and Agencies – 2022
Google BigQuery for Marketers and Agencies – 2022, available at $64.99, has an average rating of 4.45, with 34 lectures, 8 quizzes, based on 558 reviews, and has 2819 subscribers.
You will learn about Become a technical marketer who is savvy in both digital marketing and data analysis Exploring eCommerce and CRM user-level data in Google Analytics 360 (Project #1) Write advanced queries with UNNEST, STRUCT and ARRAY_AGG Query multiple tables with different type of JOIN statements – INNER, LEFT and RIGHT Aggregate data with SUM, COUNT, GROUP BY and create aliases with AS Understand subqueries by using the WITH clause Visualize BigQuery tables and queries in Google Data Studio (Project #2) Identify high-value customers and activate insights in Google Ads This course is ideal for individuals who are Digital Marketers or Campaign Managers or Performance Managers or Paid Media Managers or SEO/SEM Specialists or AdOps Specialists or Digital Analysts It is particularly useful for Digital Marketers or Campaign Managers or Performance Managers or Paid Media Managers or SEO/SEM Specialists or AdOps Specialists or Digital Analysts.
Enroll now: Google BigQuery for Marketers and Agencies – 2022
Summary
Title: Google BigQuery for Marketers and Agencies – 2022
Price: $64.99
Average Rating: 4.45
Number of Lectures: 34
Number of Quizzes: 8
Number of Published Lectures: 34
Number of Published Quizzes: 8
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Number of Practice Tests: 2
Number of Published Practice Tests: 2
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Become a technical marketer who is savvy in both digital marketing and data analysis
- Exploring eCommerce and CRM user-level data in Google Analytics 360 (Project #1)
- Write advanced queries with UNNEST, STRUCT and ARRAY_AGG
- Query multiple tables with different type of JOIN statements – INNER, LEFT and RIGHT
- Aggregate data with SUM, COUNT, GROUP BY and create aliases with AS
- Understand subqueries by using the WITH clause
- Visualize BigQuery tables and queries in Google Data Studio (Project #2)
- Identify high-value customers and activate insights in Google Ads
Who Should Attend
- Digital Marketers
- Campaign Managers
- Performance Managers
- Paid Media Managers
- SEO/SEM Specialists
- AdOps Specialists
- Digital Analysts
Target Audiences
- Digital Marketers
- Campaign Managers
- Performance Managers
- Paid Media Managers
- SEO/SEM Specialists
- AdOps Specialists
- Digital Analysts
Welcome to Google BigQuery for Marketers and Agencies,the Google BigQuery course that focuses on growing the technical knowledge and expertise of the marketing professional! This course is designed to bridge the gap between data analysis and digital marketing, and help you become a data-driven decision-maker. The course curriculum is put together in a progressive fashion, starting with an introduction to the most useful SQL queries for marketers, the role of both BigQuery and SQL in the larger data ecosystem, and then diving into two hands-on projects, where you can use everything you have learned.
By the end of the course, you will be able to:
-
Explore eCommerce and CRM user-level data in Google Analytics 360 (Project #1)
-
Visualize active queries and data tables in Google Data Studio (Project #2)
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Explore semi-structured data with ARRAY_AGG, UNNEST and STRUCT
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Filter values with the WHERE clause to identify insights
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Ingest .CSV files and create permanent BigQuery tables
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Combine multiple data tables with different types of JOINs – INNER, LEFT and RIGHT
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Aggregate data with SUM, COUNT and GROUP BY
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Create nested queries by using the WITH clause
What are the students who took the course saying?
“Very good course that shows you the basics of Google Big Query and its integration with Data Studio. The teacher shows you, step by step, the most important things to know with passion. I recommend this course to anyone who wants to take the first steps in the Big Query World.” – Massimo
“Very good course! I am glad that I have chosen it. Materials are easy for understanding. I was familiar with SQL before, but never worked with it in BigQuery. Now I know how to do it. Thank you very much!”– Mariia
“This course is brilliant! really! I have been collecting data with Google Analytics for a few years. But this course taught how to take that data to the next step and now I can speak to what can be done with this data, and how it can be combined with other data sources etc. I especially like the way Lachezar explains key concepts that helped me put together the puzzle of GA data to BigQuery and from there to data visulization. Thanks Lachezar.”– Muhammad
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.
Course Curriculum
Chapter 1: Getting started with Google BigQuery
Lecture 1: Welcome to the Course!
Lecture 2: What are Google BigQuery and SQL?
Lecture 3: Setting up your BigQuery Sandbox account in Google Cloud Platform (GCP)
Lecture 4: Disabling Editor Tabs
Lecture 5: Navigating the Google BigQuery interface
Lecture 6: Using the BigQuery Solutions Manual
Lecture 7: Downloading the BigQuery course datasets
Chapter 2: Creating and querying tables with SQL in Google BigQuery
Lecture 1: Ingesting a CSV dataset into BigQuery and creating a table
Lecture 2: Writing your first query with the SELECT, FROM and LIMIT clauses
Lecture 3: Aggregating data with SUM, COUNT, GROUP BY and creating aliases with AS
Lecture 4: Filtering values with WHERE and sorting data with ORDER BY
Lecture 5: Understanding subqueries by using the WITH clause
Lecture 6: Exporting your queries and results into a BigQuery table
Chapter 3: Exploring semi-structured data with ARRAY_AGG, UNNEST and STRUCT
Lecture 1: What is an "Array" and why does it matter?
Lecture 2: Grouping values together with STRUCT to define array hierarchy
Lecture 3: Creating an array in an existing flattened table with ARRAY_AGG
Lecture 4: Filtering and unnesting arrays with UNNEST
Chapter 4: Combing multiple tables with different JOIN statements
Lecture 1: What are the different types of SQL JOINs?
Lecture 2: Joining tables with a one-to-one relationship (INNER and LEFT JOINs)
Lecture 3: Calculating percentage difference within a JOIN
Lecture 4: Introducing multiple JOIN keys in many-to-many table relationships
Chapter 5: Project 1: Exploring eCommerce and CRM user-level data in Google Analytics 360
Lecture 1: Setting up a public Google Analytics 360 dataset in BigQuery
Lecture 2: Understanding website traffic sources and volume (Users, Sessions and Pageviews)
Lecture 3: Re-grouping your traffic sources (Default Channel Groupings) with CASE
Lecture 4: Part 1: Analyzing best-selling products and categories with WHERE and UNNEST
Lecture 5: Part 2: Analyzing best-selling products and categories with WHERE and UNNEST
Lecture 6: Identifying high-value customers to find CRM matches and activate insights
Chapter 6: Project 2: Visualizing BigQuery tables and queries in Google Data Studio
Lecture 1: Connecting your BigQuery table to Data Studio
Lecture 2: Visualizing your table by using different chart types
Lecture 3: Writing Custom SQL queries directly in Data Studio
Lecture 4: Using the Google Data Studio Explorer for generating insights faster
Chapter 7: Conclusion
Lecture 1: Next Steps
Lecture 2: The Beginner’s Guide to Using BigQuery with Google Data Studio
Lecture 3: PROMO: Supermetrics for Google BigQuery
Instructors
-
Lachezar Arabadzhiev
Founder and CEO -
SkildLabs Inc.
Building Better Learning Experience!
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 4 votes
- 3 stars: 52 votes
- 4 stars: 191 votes
- 5 stars: 308 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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