
In the link below, you would be able to find a solution manual to all the exercises we will go through during the course. If you get stuck on an exercise, feel free to take a look :)
In this lecture, you'll learn how to:
Navigate a data schema.
Recognize different aggregation types.
Connecting a data source to your dashboard.
In this lecture, you'll learn how to:
Create a pivot table.
Use the "Expand-Collapse" feature.
In this lecture, you'll learn how to:
Create a comparative pivot table with a heat map.
Analyze and compare data with within a pivot table with filters.
In this lecture, you'll learn how to:
Create a calculated field with two metrics
Explore aggregation types like SUM, AVERGAGE and COUNT.
Learn how to use IF statements in Google Data Studio by combining them with a CASE. This is a highly anticipated and super useful function.
Understand what a gauge chart is and how to use it to compare a metric against a target/business goal.
Apply range limits to specify different milestones in your goal completion journey.
On October 24, 2019, the Google Data Studio Team enabled us to create conditional formatting AND and OR rules, to add colour and style to our data when those conditions are met.
Learn how to use multiple pages in your reports to organize related charts, minimize the complexity of any given page, improve performance, and avoid "information overload" for your viewers.
As of January 23, 2020, you can now automatically generate a custom theme for your reports based on the colors in an image. This makes it easy to coordinate the text and data colors with an image in your report, such as a logo or product photo. You can also create themes from images you upload or can access on the web.
In this lecture, you are going to learn about Data Studio's "Present mode" and also explore the copy and refresh data buttons in the "More Options" menu.
Learn how to use report publishing to control when viewers see the changes you make to a report. Currently, by default, viewers see changes on reports in real-time.
You can navigate to the “Share” button in any Data Studio report and select the “Schedule email delivery” option. In the pop-up, you have the flexibility to tweak the delivery frequency, pages shared and customize the email subject and message.
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.