Google Data Studio (Looker Studio) Tutorial: Building a Dashboard Step-by-Step | Mathias Neves | Skillshare
Drawer
Search

Playback Speed


  • 0.5x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 2x

Google Data Studio (Looker Studio) Tutorial: Building a Dashboard Step-by-Step

teacher avatar Mathias Neves

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Lessons in This Class

    • 1.

      Intro and Project Overview

      1:31

    • 2.

      Using a sample dashboard

      1:33

    • 3.

      Connecting Google Analytics

      1:17

    • 4.

      Selecting a date range

      1:03

    • 5.

      Creating your first chart

      1:29

    • 6.

      Using filters

      2:35

    • 7.

      Creating a pie chart

      0:40

    • 8.

      Creating a map

      0:55

    • 9.

      Using labels

      1:32

    • 10.

      Comparing date ranges

      1:10

    • 11.

      Naming and sharing

      0:48

    • 12.

      Ending

      0:18

  • --
  • Beginner level
  • Intermediate level
  • Advanced level
  • All levels

Community Generated

The level is determined by a majority opinion of students who have reviewed this class. The teacher's recommendation is shown until at least 5 student responses are collected.

201

Students

2

Projects

About This Class

Looker Studio (formerly known as Data Studio) is a free tool by Google that allows you to create interactive dashboards and reports. While it may seem daunting at first, you will quickly see that creating your first dashboard is in fact quite easy. In this class you will learn how to create your first dashboard, using sample data from Google Analytics. Are you ready to get started?

No prior knowledge of Data Studio is required, but a familiarity with Google Analytics is recommended.

Meet Your Teacher

Level: Beginner

Class Ratings

Expectations Met?
    Exceeded!
  • 0%
  • Yes
  • 0%
  • Somewhat
  • 0%
  • Not really
  • 0%

Why Join Skillshare?

Take award-winning Skillshare Original Classes

Each class has short lessons, hands-on projects

Your membership supports Skillshare teachers

Learn From Anywhere

Take classes on the go with the Skillshare app. Stream or download to watch on the plane, the subway, or wherever you learn best.

Transcripts

1. Intro and Project Overview: Hi there, My name is machine hours. And on this course I'm going to show you how to use Google Data Studio, which is now known as googled Lukert Studio, to create your first interactive dashboard. Look, your studio is a very powerful but user-friendly tool that allows you to create interactive dashboards that can be easily shared with your team. Came to very helpful to get an overview of how your website is doing and also to improve visibility of your work. So let's get started. This is the part that we're going to create together on this course, has two pages. The first one is an overview where you can select the range to SI sessions by channel or get an extension, month essentials by device and sessions by province or state. The best part is that you're gonna do this using our own data. The second page is a simple date range comparison. On this case, I'm comparing sessions from Q4, 2022 versus Q3 2022. After you're done creating a dashboard, make sure to create a project, to share your work with your classmates, and also to get feedback from me. You can create a project by clicking on Create Project, a bloated screenshot from your dashboard, adding a title, description and even a link to the live dashboards. Dashboard includes data that you don't want to share with others. Makes sure to click, Make this project private. 2. Using a sample dashboard: To get started, go to lookers studio.google.com. You might have to login if you're not logged in yet. And you will see the templates that are currently available. You'll have a blank report after report, and choose sample dashboards. Let's start by looking at the Acme marketing simple dashboard. This dashboard gives a pretty good overview of the capabilities of looker stadium. So you can see here e.g. users sessions and bounce rate. And this is data from Google Analytics. This is comparison data with the against the previous period. Here's a chart about how sessions are training. And here is a map with sessions per country. You can see which channels are driving engagement and also engagement by age and gender. Actually the gender charged right now, it's not working on the sample report, but it's pretty similar to the distribution here by age. You can also use this button here. Use my own data to duplicate this dashboard and create a dashboard using our own data rather than the sample data from Google. 3. Connecting Google Analytics: Now let's create our first report from scratch to do that, returned to the main page, lookers studio.google.com and click on Blank Report. The first thing we're gonna do is connect our lookers teacher dashboard with Google Analytics. So to do that, just click on the session Google connectors. Click Google Analytics. And you will have to authorize Lukert studio to access your Google Analytics data. To do that, just click Authorize. And you can select which account you want to use. Here I have simple accounts from my own websites. But for the purpose of this course, I'm going to use the demo account, which is Google cent, which is sample data directly from Google. And then just click, Add and Add to Report. Let's say your Google Analytics account is now connected to your lookers studio dashboard. 4. Selecting a date range: The first thing I like to do when creating a new lookers pseudo dashboard is adding a date range because this means that each range will be applied to all the charts and tables are on this page, unclass you want otherwise. So to do that, Let's start by deleting this simple table here and clicking on add a control. And date range control. Just dragged and dropped. And now you can change the auto date range here to the date range that you want. For this dashboard, I'm going to create tables using data from 2022 to let select the whole year starting on January 1st and ending on December 31st. And apply. Now Aldi and now all the charts and tables on this page will reflect this date range. 5. Creating your first chart: Now let's create our first chart. A pretty standard chart that is helpful for most businesses is a chart showing sessions by channel. So let's do that. You start by clicking Insert and time series chart, then drag-and-drop. Now this chart is showing views. This is not exactly what we want. Let's go to the right here where you see metric, click views and search for sessions. Voila, now we can see this sessions for 2022, but you want something slightly different. We want sessions by channel. So to do that, we need to add a breakdown dimension. So you click here and you search by channel. This chart is a little bit busy right now. It might be more helpful to group these sessions by month. To do that, you go to dimension, date and click right on the pencil here. Type date, click date and time. And change here for year, month. You can also select different time periods if that's more helpful for you. Thanks. Year, quarter, or even week. Now we are seeing sessions here. By each month. That is a more clean chart that might be more helpful for you. 6. Using filters: Say that you want to keep a closer eye on organic search because SEO is very important for you. So let's copy and paste this trout that you already have by going to Edit, Copy, Edit, paste. Or you can always use some shortcuts from your keyboards such as Control C and Control V, or Command C and Command V. If you're on a Mac, you can see here that this chart is overflowing. So let's reduce both strikes. You can select more than one child at a time by just clicking and dragging. And now let's reduce both chunks at a time. Both tracks at the same time, and aligning them on the center of the page. Let's click on our new chart, removing our breakdown dimension. Now let's add a filter for organic traffic to the debt. Let's scroll down and click on add a filter. Let's include select field. Let's search for channel. Select a condition. Let's click on Contains organic search and save it as not working because it's not showing any data. Let's find out why that is. So let's click on the chart. Let's scroll down and click on Edit Filter. Oh, it looks like we forgot to capitalize organic search. You can see here on our left chart that organic search is capitalized, and that's how Google Analytics writes our dimensions and the parking that we match exactly how Google Analytics for rights on different dimensions. So in this case, we need to capitalize organic search. You can use contains here or you can also use equal to. Because in this case, we're matching our filter exactly to how the Google Analytics metric is written. Now it is working. 7. Creating a pie chart: Now let's say that you wanted to create a chart to check if most of your visitors are coming from desktop or mobile. To do that, let's create a pie chart. Go to Insert and Chart. Click and drag. And let's just make sure that the Chinese are aligned. Then we go here to dimension inches device category. And that's it. Here we can see the 93.7% of the traffic to our website is coming from mobile. 8. Creating a map: Finally, let's create a map so we can see from each state or country most of our users are coming from. So if we go to Insert, and in this case we're going to use the GI tract. Let's resize. This map is already showing sessions by country. So if we want to change that, we can go here and select a region. And the default region is the United States, but can also change the zoom area here to show different countries. So let's say that we want to show candidate. So we're seeing here sessions by province in Canada. 9. Using labels: It's important to label your report and all your charts so stake holders can know what data is being shown and where data is coming from. So let's insert this tried to prevent and the ego is the sessions by channel. We can select the font size, color, and font time. Though. We want to copy and paste. Labeled this chart as organic sessions five months, and labeled the bottom charts as well. Sessions by device. And sessions by. This makes our report a lot more organized. You can also add a main label. Your whole report. Let's say my website overview. Perhaps you want to choose a bigger font size in bold. 10. Comparing date ranges: The last thing I wanted to show you is how to compare different date ranges. To do that, I just created a new page and duplicated the organic sessions chart that we created before. You can click on the chart. So let's say that I want to do a quarterly analysis comparing the last quarter of 2022 with the third quarter of 2022. To do that, let's probe down to date range. Custom select October 1st to December 31st. There's a comparison date range. Let's choose previous period, which is July 1st to September 30th. Apply. In this triad is a little bit simple, so you might want to change it for a weekly view instead. So let's go to data and time ear wick. This shows trains for the last quarter of 2022 with the third part of this same ear. 11. Naming and sharing: Make sure to label your report all your pages before sharing. So you can click here to select all. But summing this as my first part. Let's also rename our pages. This one, name it as q4 versus Q3 2020 to close. And now this dashboard is ready to be filled and share it with whoever you want. To do that you can just click, Share and select whoever you want to share your dashboard with. 12. Ending: You should now have your first dashboard ready to be used and shared. But don't stop there. There's so much more than Lucas tutor can do. You can connect other sources like Google Search Console and change fonts and colors to better align with your brand. Thanks so much for watching. Bye.