Udemy - Google BigQuery for Marketers and Agencies

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Google BigQuery for Marketers and Agencies [TutsNode.com] - Google BigQuery for Marketers and Agencies 05 Project 1_ Exploring eCommerce and CRM user-level data in Google Analytics 360
  • 026 Identifying high-value customers to find CRM matches and activate insights.mp4 (102.6 MB)
  • 021 Setting up a public Google Analytics 360 dataset in BigQuery.en.srt (6.8 KB)
  • 021 Setting up a public Google Analytics 360 dataset in BigQuery.mp4 (32.9 MB)
  • 022 Understanding website traffic sources and volume (Users, Sessions and Pageviews).en.srt (11.5 KB)
  • 022 Understanding website traffic sources and volume (Users, Sessions and Pageviews).mp4 (51.5 MB)
  • 023 Re-grouping your traffic sources (Default Channel Groupings) with CASE.en.srt (8.0 KB)
  • 023 Re-grouping your traffic sources (Default Channel Groupings) with CASE.mp4 (38.9 MB)
  • 024 Part 1_ Analyzing best-selling products and categories with WHERE and UNNEST.en.srt (8.9 KB)
  • 024 Part 1_ Analyzing best-selling products and categories with WHERE and UNNEST.mp4 (43.6 MB)
  • 025 Part 2_ Analyzing best-selling products and categories with WHERE and UNNEST.en.srt (12.1 KB)
  • 025 Part 2_ Analyzing best-selling products and categories with WHERE and UNNEST.mp4 (58.8 MB)
  • 026 Identifying high-value customers to find CRM matches and activate insights.en.srt (19.6 KB)
  • external-assets-links.txt (0.1 KB)
01 Getting started with Google BigQuery
  • 001 Welcome to the Course!.en.srt (0.8 KB)
  • 001 Welcome to the Course!.mp4 (7.2 MB)
  • 002 What are Google BigQuery and SQL_.en.srt (2.0 KB)
  • 002 What are Google BigQuery and SQL_.mp4 (10.7 MB)
  • 003 Setting up your BigQuery Sandbox account in Google Cloud Platform (GCP).en.srt (4.3 KB)
  • 003 Setting up your BigQuery Sandbox account in Google Cloud Platform (GCP).mp4 (19.9 MB)
  • 004 Navigating the Google BigQuery interface.en.srt (5.3 KB)
  • 004 Navigating the Google BigQuery interface.mp4 (22.7 MB)
  • 005 Using the BigQuery Solutions Manual.html (1.5 KB)
  • 006 Course-Datasets.zip (1.1 MB)
  • 006 Downloading the BigQuery course datasets.html (1.4 KB)
  • external-assets-links.txt (0.2 KB)
02 Creating and querying tables with SQL in Google BigQuery
  • 007 chicago-taxi-trips-10000-records-sample.csv (2.9 MB)
  • 007 Ingesting a CSV dataset into BigQuery and creating a table.en.srt (9.1 KB)
  • 007 Ingesting a CSV dataset into BigQuery and creating a table.mp4 (33.3 MB)
  • 008 Writing your first query with the SELECT, FROM and LIMIT clauses.en.srt (8.8 KB)
  • 008 Writing your first query with the SELECT, FROM and LIMIT clauses.mp4 (41.3 MB)
  • 009 Aggregating data with SUM, COUNT, GROUP BY and creating aliases with AS.en.srt (8.3 KB)
  • 009 Aggregating data with SUM, COUNT, GROUP BY and creating aliases with AS.mp4 (41.6 MB)
  • 010 Filtering values with WHERE and sorting data with ORDER BY.en.srt (8.8 KB)
  • 010 Filtering values with WHERE and sorting data with ORDER BY.mp4 (40.4 MB)
  • 011 Understanding subqueries by using the WITH clause.en.srt (7.9 KB)
  • 011 Understanding subqueries by using the WITH clause.mp4 (36.3 MB)
  • 012 Exporting your queries and results into a BigQuery table.en.srt (4.5 KB)
  • 012 Exporting your queries and results into a BigQuery table.mp4 (22.5 MB)
03 Exploring semi-structured data with ARRAY_AGG, UNNEST and STRUCT
  • 013 What is an _Array_ and why does it matter_.en.srt (6.4 KB)
  • 013 What is an _Array_ and why does it matter_.mp4 (24.1 MB)
  • 014 Grouping values together with STRUCT to define array hierarchy.en.srt (10.0 KB)
  • 014 Grouping values together with STRUCT to define array hierarchy.mp4 (34.1 MB)
  • 015 Creating an array in an existing flattened table with ARRAY_AGG.en.srt (11.9 KB)
  • 015 Creating an array in an existing flattened table with ARRAY_AGG.mp4 (57.4 MB)
  • 016 Filtering and unnesting arrays with UNNEST.en.srt (11.0 KB)
  • 016 Filtering and unnesting arrays with UNNEST.mp4 (45.3 MB)
  • external-assets-links.txt (0.1 KB)
04 Combing multiple tables with different JOIN statements
  • 017 What are the different types of SQL JOINs_.en.srt (4.3 KB)
  • 017 What are the different types of SQL JOINs_.mp4 (24.8 MB)
  • 018 campaign-actual-spend-sample.csv (4.0 KB)
  • 018 campaign-planned-spend-sample.csv (2.1 KB)
  • 018 Joining tables with a one-to-one relationship (INNER and LEFT JOINs).en.srt (13.6 KB)
  • 018 Joining tables with a one-to-one relationship (INNER and LEFT JOINs).mp4 (67.4 MB)
  • 019 Calculating percentage difference within a JOIN.en.srt (4.5 KB)
  • 019 Calculating percentage difference within a JOIN.mp4 (23.8 MB)
  • 020 creative-impressions-sample.csv (0.7 KB)
  • 020 creative-total-conversions-sample.csv (0.7 KB)
  • 020 Introducing multiple JOIN keys in many-to-many table relationships.en.srt (10.1 KB)
  • 020 Introducing multiple JOIN keys in many-to-many table relationships.mp4 (49.5 MB)
06 Project 2_ Visualizing BigQuery tables and queries in Google Data Studio
  • 027 Connecting your BigQuery table to Data Studio.en.srt (16.0 KB)
  • 027 Connecting your BigQuery table to Data Studio.mp4 (63.3 MB)
  • 028 Visualizing your table by using different chart types.en.srt (11.3 KB)
  • 028 Visualizing your table by using different chart types.mp4 (62.1 MB)
  • 029 Writing Custom SQL queries directly in Data Studio.en.srt (12.2 KB)
  • 029 Writing Custom SQL queries directly in Data Studio.mp4 (60.0 MB)
  • 030 Using the Google Data Studio Explorer for generating insights faster.en.srt (4.2 KB)
  • 030 Using the Google Data Studio Explorer for generating insights faster.mp4 (19.4 MB)
  • external-assets-links.txt (0.2 KB)
07 Conclusion
  • 031 Next Steps.en.srt (1.4 KB)
  • 031 Next Steps.mp4 (14.2 MB)
  • external-assets-links.txt (0.1 KB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)

Description


Description

LATEST CONTENT UPDATE: August, 2020

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)
Explore semi-structured data with ARRAY_AGG, UNNEST and STRUCT
Filter values with the WHERE clause to identify insights
Ingest .CSV files and create permanent BigQuery tables
Combine multiple data tables with different types of JOINs – INNER, LEFT and RIGHT
Aggregate data with SUM, COUNT and GROUP BY
Create nested queries by using the WITH clause

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.
Who this course is for:

Digital Marketers
Campaign Managers
Performance Managers
Paid Media Managers
SEO/SEM Specialists
AdOps Specialists
Digital Analysts

Requirements

Understanding of Digital Marketing (Not Required, but Highly Recommended)
Google BigQuery Sandbox (Free and Provided)
Google Data Studio Account (Free and Provided)

Last Updated 8/2020



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Udemy - Google BigQuery for Marketers and Agencies

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Download torrent
1.1 GB
seeders:6
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Udemy - Google BigQuery for Marketers and Agencies

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