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Description

Welcome to
Dynamic Dashboards and Data Analysis with Google Looker Studio
! In this course, you will learn how to build powerful data visualizations and unlock insights that can help you drive business results for your clients or employers. This course aims to strike a balance between the foundations of data analysis and hands-on practical examples. The course starts with an introductory view of key concepts such as aggregation, pivot tables, calculated fields, data blending and then dives into real-world projects, including:
Project 1: Create a User Journey Funnel with Google Analytics
Project 2: Create a device breakdown visualization with user-level data
NEW*
Dashboard Building Challenge: Create a dashboard in 10 minutes and get feedback from the instructor and/or your fellow students! (Assignment)
By the end of the course, you will be able to:
Use  and understand all chart types throughout the course (Bullets, Pie Charts, Scorecards, Scatter plot and etc.)
Connect and blend data sources from Google Analytics and Google Sheets
Create custom dimensions with conditional expressions (CASE + REGEXP_MATCH + IN)
Build a user journey funnel with Google Analytics data based on a "Page Title" dimension
Create a device breakdown visualization and explore user-level data with scatter plot (eCommerece)
Create a Google BigQuery table based on a specific SQL query and visualize it in Looker Studio, formerly Google Data Studio
Create time series with rolling dates and interaction filters
Configure Gauge charts to track performance against a specific goal or KPI
Automate reports with advanced date selection filters
Understand the access levels in Looker Studio - "Owner" vs "Viewer"
Apply conditional formatting rules to signal data anomalies
Extract a report theme and colour scheme from an image in Looker Studio, formerly Google Data Studio
Apply IF statements within a CASE and use operators
What are the students who took the course saying?
"The pace of the course was great and I was able to follow along with all the exercises using the provided data files and Google Analytics demo account" -
Tricia
"The course is fantastic. The instructor was clear and on-point when it came to the content. Lachezar took me from a complete beginner to someone who can actually build dashboards and understand how DS works.
I was blown away by how relatively short the video content was compared to the value I received - if you go beyond what's instructed and dive deep to recreate every single step (and dashboard) presented in this course yourself, it'll take you easily 10-15 hours of work to do.
This is a no fluff course, updated, with great support from the instructor - I urge you to go for it." - Roi
"This course has been very very done, clear and insightful. I will start to use Data studio from today on." -
Silvia
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.
Bonus
The course includes custom Google Sheets data sets for each section, a Data Studio Solutions Manual and a FREE Dashboard Template upon completion of the course. And don't worry, if the course does not work out for you, you can always get your money back in 30 days.
Who this course is for:
Professionals who want to learn how to make data savvy decisions
Traditional agency or client-side marketers who want to transition to digital
Campaign Managers, Media Planners, Analysts

What you'll learn

Understand the art of capturing data-driven insights and visual storytelling

Use all chart types throughout the course (Bullets, Pie Charts, Scorecards, Scatter plot and etc.)

Get familiar with Google BigQuery for Google Data Studio

Build advanced dashboards with pivot tables and use the "Expand-collapse" function

Connect and blend data sources, and learn about dimension cardinlity

Build a user journey funnel with Google Analytics data (Practical Example #1)

Create a device breakdown visualization with user-level data (Practical Example #2)

Create custom dimensions with conditional expressions (CASE + REGEXP_MATCH + IN)

Explore dashboard design and conditional formatting

Create time series with rolling dates and interaction filters

Get a FREE dashboard template

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Getting Started with Google Data Studio
5
1.1-Welcome to the Course!
1.2-Creating your Google Data Studio account
1.3-Introducing the concepts of connectors and data flow
1.4-Setting up the course data sets in Google Sheets
1.5-Using the Data Studio Solutions Manual
2-Aggregation, Dynamic Tables and Filters
4
2.1-Understanding aggregation and data schemas
2.2-Creating a pivot table and using the "Expand-collapse" function
2.3-Creating a comparative heat map pivot table with filters
2.4-Knowledge Check
3-Calculated Fields, Custom Dimensions and Advanced Statements
7
3.1-Creating your first calculated field
3.2-Applying style settings to your metrics
3.3-Understanding "Local" and "Global" scope
3.4-Creating a custom dimension with conditional expressions (CASE + IN)
3.5-Using a regular expression (REGEX_MATCH) to alter an existing dimension
3.6-Applying IF statements within a CASE and using operators
3.7-Knowledge Check
4-Advanced Date Selection, Data Comparison and Interaction Filters
7
4.1-Creating a time series and exploring date formats
4.2-Applying advanced date filters and compare date ranges
4.3-Automating reports with advanced date selection
4.4-Using interaction filters (Geo and Tree Map Charts)
4.5-Configuring a Gauge chart with a single metric
4.6-Adding range limits to specify threshold values
4.7-Knowledge Check
5-Blending Data Sources and High Cardinality Dimensions
5
5.1-Blending two data sources and understanding the concept of a JOIN
5.2-Creating blended calculated fields
5.3-Configuring tables with multiple join keys and exploring cardinality
5.4-New JOIN Configuration and Operators in Google Data Studio [2022]
5.5-Knowledge Check
6-Project 1: Create a User Journey Funnel with Google Analytics
4
6.1-Connecting Google Analytics Demo account to Data Studio
6.2-Part 1: Creating a User Journey Funnel with Google Analytics
6.3-Part 2: Synchronize segments with Google Analytics and applying extra filters
6.4-Practical Activity
7-Project 2: Create a device breakdown visualization with user-level data
4
7.1-Understanding user-level data and granularity
7.2-Part 1: Creating a device breakdown view in your report
7.3-Part 2: Interpreting user-level data with a scatter plot
7.4-Practical Activity
8-Advanced Design and Formatting
8
8.1-A framework for designing an insightful and intuitive dashboard
8.2-Using conditional formatting and exploring rule sequencing
8.3-Selecting a field as an input value in conditional formatting
8.4-Applying OR and AND statements to Google Ads keyword data
8.5-Adding multiple pages and applying different report navigation styles
8.6-Extracting a theme and color scheme from an Image/URL
8.7-Using presentation mode and exploring the Data Studio streamlined toolbar
8.8-Knowledge Check
9-Sharing Reports, Version History and Scheduling
5
9.1-Permission levels: Data Source and Report Access
9.2-URL Embedding, PDF Downloads, Version History and Scheduling
9.3-Report publishing functionality: "Published" vs "Draft" mode
9.4-Creating custom e-mail schedules for your reports
9.5-Knowledge Check
10-Getting familiar with Google BigQuery for Data Studio
4
10.1-Creating a Google Cloud Platform (GCP) account for free
10.2-Creating a GCP project and configuring data sets within BigQuery
10.3-Running a SQL query and visualizing the output table in Google Data Studio
10.4-Knowledge Check
11-Automating marketing reporting and data connectors with Supermetrics
4
11.1-Why is reporting automation important?
11.2-What is Supermetrics and how to create a free trial account?
11.3-Connecting and automating Facebook Ads data in Data Studio
11.4-Knowledge Check
12-Dashboard Building Challenge: Create a dashboard in 10 minutes and get feedback!
1
12.1-Create a dashboard in 10 minutes and get feedback to improve your skills!
13-Conclusion
8
13.1-Next Steps
13.2-FREE Dashboard Template
13.3-Advanced Page and Report Navigation in Google Data Studio – 2021
13.4-Top 5 Most Useful Calculated Fields and Functions in Google Data Studio
13.5-3 Ways to Use Google Data Studio for Benchmarks and Sales Targets
13.6-How to filter metric values with a slider control in Google Data Studio?
13.7-How to use parameters in Google Data Studio in 2021?
13.8-BONUS: 20% OFF a Supermetrics subscription (conditions apply)