Google Data Studio A-Z: Looker Studio for Data Visualization
- Description
- Curriculum
- FAQ
- Reviews
[April 2024 update]
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Updated definition of Dimensions and measures as per recent changes
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Updated data blending – added different types of joins now supported by Looker Studio
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Rectified time series data to accommodate how data studio handles date time related data
6 Reasons why you should choose this Google Data Studio course
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Carefully designed course, teaching you not only how to draw all types of charts in Google Data Studio, but also advanced Data studio specific features
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Concise – you can complete this Google Data Studio course within one weekend
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Business-related examples and case studies
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Ample practice exercises because Data Visualization and Google Data Studio require practice
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Downloadable resources for learning Google Data Studio and Data Visualization
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Your queries will be responded by the Instructor himself
Start using Google Data Studio to its full potential to become proficient at Google Data Studio and Data Visualization and reporting tasks today!
Either you’re new to Data Visualization or Google Data Studio, or you’ve made some charts and graphs using some data visualization software such as MS Excel or Tableau. Either way, this course will be great for you.
A Verifiable Certificate of Completion is presented to all students who undertake this Google Data Studio course.
Why should you choose this course?
This is a complete and concise tutorial on Google Data Studio which can be completed within 6 hours. We know that your time is important and hence we have created this fast paced course without wasting time on irrelevant operations.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We have in-depth understanding on and practical exposure to Google Data Studio and Data Visualization.
We are also the creators of some of the most popular online courses – with over 600,000 enrollments and thousands of 5-star reviews like these ones:
I had an awesome moment taking this course. It broaden my knowledge more on the power use of Excel as an analytical tools. Kudos to the instructor! – Sikiru
Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. – Armand
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, Google Data Studio, Data Visualization, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
What is covered in this course?
This course covers everything you need to create insightful and dynamic reports using Google Data Studio in the professional work place.
Below are the course contents of this complete and concise course on Google Data studio:
Introduction – In this section, the structure and the contents of the course are discussed. We also discuss the reason to why should we learn Google Data Studio.
Theoretical concepts – This lecture covers the prerequisite understanding of key terminologies and concepts before we start to work on Google Data Studio.
All charts and tables in Data Studio – We cover all the available chart types one-by-one. It includes Data tables, scorecards, bar charts, time series, pie charts, GeoMaps, pivot tables and many more.
Data filter controls – This lecture covers the filtering options that can be given to the report viewers so that each viewer can filter the data and see only what s/he wants to see.
Branding the report – Branding a report is a very popular business practice and we will see how we can do it using brand logo and brand colors
Embedding external content – We can add videos, quizzes, feedback forms, company websites to our report. Yes! It is possible. We will see how in this section.
Blending multiple data sets – Real life data is in multiple tables. To plot a graph using data from multiple tables requires data blending. Very Important Section.
Report Sharing and Collaborating – This section covers ways in which you can give viewing or editing rights to others. You can also schedule regular reports to the management using Google Data Studio. Report sharing is something where no other Data Visualization tool can beat Google Data Studio.
And so much more!
By the end of this course, your confidence in using Google data studio for data visualisation will soar. You’ll have a thorough understanding of how to use Google Data Studio for creating insightful dashboards and beautiful reports.
Go ahead and click the enroll button, and I’ll see you in lesson 1 of this Google Data Studio course!
Cheers
Start-Tech Academy
FAQ’s
What you can do with Data Studio?
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Visualize your data through highly configurable charts and tables.
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Easily connect to a variety of data sources.
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Share your insights with your team or with the world.
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Collaborate on reports with your team.
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Speed up your report creation process with built-in sample reports.
Is Google Data Studio free to use?
Google Data Studio is offered completely free by Google.
What is the use of Google Data Studio?
Google Data Studio gives you everything you need to turn your client’s analytics data into informational, easy-to-understand reports through data visualization. The reports are easy to read, easy to share and even customizable to each of your clients
The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Google Data Studio and Data visualization techniques in today’s corporate world.
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1Course IntroductionVideo lesson
Hello everyone, and welcome to the Google Data Studio A-Z: Looker Studio for Data Visualization course! In this section, we will be covering the basics of Looker Studio and how to create visually appealing data visualizations. In Lecture 1, we will start off with a general course introduction to give you an overview of what to expect in the upcoming lectures.
Throughout this course, you will learn how to connect your data sources to Looker Studio, create beautiful and interactive dashboards, and effectively communicate your data findings to others. By the end of this section, you will have a solid understanding of the foundations of Looker Studio and be well-equipped to create stunning data visualizations for your own projects. So let's dive in and get started with our course introduction! -
2Course ResourcesText lesson
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3Why Data Studio?Video lesson
In Lecture 3 of Section 1: Introduction of the course Google Data Studio A-Z: Looker Studio for Data Visualization, we will explore the importance of using Data Studio for data visualization. We will discuss why Data Studio is a powerful tool for creating interactive and visually appealing reports and dashboards. By utilizing Data Studio, users can easily connect to various data sources, customize their visualizations, and share their insights with others in a user-friendly way.
Additionally, we will delve into the key features of Data Studio that set it apart from other data visualization tools. These features include the ability to collaborate in real-time with team members, integrate data from multiple sources seamlessly, and create customized reports that suit the specific needs of your organization. Understanding why Data Studio is a valuable tool for data visualization will set the foundation for the rest of the course as we delve deeper into its functionalities and capabilities. -
4This is a milestone!Video lesson
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5Data Studio Home Screen & Dataset vs Data SourceVideo lesson
In this lecture, we will be exploring the Data Studio Home Screen and familiarizing ourselves with the layout and navigation features of the platform. We will also dive into the differences between a dataset and a data source in Google Data Studio, and how understanding these distinctions is crucial for effectively building data visualizations. By the end of this lecture, students should feel comfortable navigating the Data Studio interface and have a solid grasp of the fundamental concepts that will be essential for creating engaging and informative data visualizations.
We will also be covering important terminologies and theoretical concepts that are foundational to using Google Data Studio effectively. By understanding key terms such as dimensions, metrics, filters, and blending data, students will be better equipped to manipulate and analyze data in their visualizations. Additionally, we will provide practical examples and exercises to help reinforce these concepts so that students can apply them confidently in their own projects. It is important to master these basics in order to build more advanced and meaningful data visualizations in the future. -
6Structure of Input dataVideo lesson
In this lecture, we will be focusing on the structure of input data in Google Data Studio. We will cover the different types of data sources that can be connected to Data Studio, such as Google Sheets, Google Analytics, and SQL databases. Understanding the structure of input data is crucial for creating accurate and meaningful visualizations in Data Studio, so we will discuss how to properly organize your data before importing it into the platform. Additionally, we will explore the concept of data blending, which allows you to combine data from multiple sources to create comprehensive and insightful reports.
Next, we will delve into the theoretical concepts related to data visualization in Google Data Studio. We will discuss the importance of choosing the right visualization type for your data, as well as best practices for designing effective and visually appealing reports. Understanding these theoretical concepts will help you create impactful visualizations that convey your data in a clear and concise manner. By the end of this lecture, you will have a solid understanding of the structure of input data in Data Studio and be equipped with the knowledge to create compelling visualizations for your own data analysis projects. -
7Dimensions vs Measures (new definition)Video lesson
In Lecture 7 of Section 2: Terminologies & Theoretical concepts for Data Studio, we will be discussing the differences between Dimensions and Measures in Google Data Studio. This lecture will provide a new definition for these terms and explain their importance in data visualization and analysis. Understanding the distinction between Dimensions and Measures is crucial for creating accurate and insightful reports in Data Studio.
We will explore how Dimensions represent categorical data such as names, dates, or geographical locations, while Measures quantify numerical data like counts, sums, or averages. By grasping the unique roles of Dimensions and Measures, students will be able to effectively organize and analyze their data within Data Studio. This lecture will also discuss best practices for selecting appropriate Dimensions and Measures to enhance the overall quality and usability of your visualizations. -
8QuizQuiz
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9Opening Looker Studio and Preparing the DataVideo lesson
In Lecture 8 of Section 3, we will dive into the practical aspect of using Looker Studio for data visualization. We will start by opening Looker Studio and navigating through its interface to understand its various features and functionalities. We will explore how to connect Looker Studio to different data sources and import data for visualization. We will also discuss the importance of preparing the data before creating visualizations to ensure accurate and meaningful insights.
Furthermore, we will learn how to clean and structure the data in Looker Studio before visualizing it. This includes identifying and resolving any missing or incorrect data, formatting the data for consistency, and transforming it into a format suitable for analysis. By the end of this lecture, you will have a solid foundation in using Looker Studio for data visualization and be equipped with the tools to effectively prepare and analyze data for visualization projects. -
10Getting Data from Google SheetText lesson
In this lecture, we will learn how to connect Google Data Studio with Google Sheets to start importing data for visualization. We will explore the step-by-step process of setting up the connection between the two platforms and importing data from Google Sheets into Data Studio. By the end of this lecture, you will have a clear understanding of how to effectively use Google Sheets as a data source for creating visually appealing reports and dashboards in Data Studio.
Additionally, we will discuss best practices for organizing and structuring data in Google Sheets to ensure seamless integration with Data Studio. We will cover topics such as data manipulation, formatting, and naming conventions to optimize the data import process. By following these guidelines, you will be able to efficiently extract data from Google Sheets and leverage its capabilities for powerful data visualization in Data Studio. -
11Adding a data sourceVideo lesson
In this lecture, we will delve into the practical aspects of using Looker Studio for data visualization. We will start by discussing the importance of adding a data source to your project. We will explore the various ways in which you can add a data source, including connecting to a Google sheet, uploading a CSV file, or connecting to a database. We will also cover best practices for selecting and structuring your data source to ensure optimal performance and accuracy in your data visualizations.
Throughout the lecture, we will provide step-by-step guidance on how to add a data source to your Looker Studio project. We will demonstrate how to connect to different types of data sources, configure data permissions, and organize your data for efficient analysis. By the end of this lecture, you will have a solid understanding of how to add a data source to your project and leverage the power of Looker Studio for data visualization. -
12Managing added data sourceVideo lesson
In Lecture 11 of our Google Data Studio A-Z course, we will delve into the practical aspect of managing added data sources in Looker Studio for data visualization. We will explore how to efficiently organize and manipulate the data sources to create visually engaging and informative dashboards. By the end of this lecture, you will have a solid understanding of how to effectively manage added data sources and enhance your data visualization skills.
We will cover topics such as configuring data sources, merging multiple data sets, creating calculated fields, and applying filters to refine your data. Additionally, we will walk through how to schedule data refreshes and track changes in your data sources to ensure your dashboards remain up-to-date and accurate. Through hands-on exercises and demonstrations, you will gain the practical skills needed to effectively manage and optimize your data sources in Looker Studio for data visualization.
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13Data TableVideo lesson
In Lecture 12 of Section 4 of our Google Data Studio A-Z course, we will be focusing on data tables and how to effectively use them for data visualization. We will cover the importance of presenting data in a clear and organized manner, and how data tables can help us achieve this goal. We will discuss the different ways to format and style data tables to highlight important numbers and make them stand out to the audience.
Furthermore, we will dive into the functionality of data tables in Google Data Studio, including how to sort, filter, and customize the data to meet our specific needs. We will also explore the different features available for data tables, such as conditional formatting, calculated fields, and data blending. By the end of this lecture, you will have a thorough understanding of how to effectively utilize data tables for data visualization in Google Data Studio. -
14Styling tab for data tableVideo lesson
In Lecture 13 of Section 4 of our Google Data Studio A-Z course on Looker Studio for Data Visualization, we will delve into the Styling tab for data tables. This section will be crucial in understanding how to customize and enhance the visual appeal of your data tables to effectively highlight numbers and make information more easily digestible for your audience. We will explore various styling options such as changing font styles, colors, and sizes, as well as configuring the layout and borders of the table to make your data stand out.
Additionally, we will also cover how to use conditional formatting within the Styling tab to dynamically format your data tables based on certain criteria or thresholds. This feature allows you to color-code and highlight specific cells or rows within your data tables, making it easier to quickly identify important trends or anomalies in your data. By the end of this lecture, you will have a solid understanding of how to use the Styling tab in Looker Studio to create visually appealing and informative data tables for your reports and dashboards. -
15ScorecardsVideo lesson
In Lecture 14 of Section 4 titled "Scorecards" in the Google Data Studio A-Z: Looker Studio for Data Visualization course, we will be diving into the importance of using scorecards to highlight key numbers and metrics in your data visualizations. Scorecards are a powerful tool for presenting data in a concise and visually appealing way, allowing viewers to easily grasp the significance of key numbers at a glance. We will explore how to create scorecards in Google Data Studio and customize them to suit your specific data visualization needs.
Throughout this lecture, we will discuss best practices for designing and formatting scorecards to effectively communicate data insights. We will cover how to add scorecards to your dashboards, adjust the data displayed, and utilize different visualization options to enhance the presentation of key metrics. By the end of this lecture, you will have a solid understanding of how to leverage scorecards in Google Data Studio to effectively highlight important numbers and make your data visualizations more impactful.
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16Simple Bar and Column chartVideo lesson
In Lecture 15 of our Google Data Studio A-Z course, we will be diving into the world of simple bar and column charts. These types of charts are essential in visualizing data and comparing categories. We will learn how to create these charts using Looker Studio for data visualization, exploring both bar charts and stacked charts to effectively display data in an easy-to-understand format.
Throughout this lecture, we will cover the basics of creating simple bar and column charts in Google Data Studio. We will discuss the differences between bar charts and stacked charts, and how to choose the best chart type for your data comparison needs. By the end of this lecture, you will have a solid understanding of how to use these charts to effectively analyze and present data in a clear and visually appealing manner. -
17Stacked Column chartVideo lesson
In Lecture 16 of Section 5 of the course "Google Data Studio A-Z: Looker Studio for Data Visualization," we will be covering the topic of stacked column charts. Stacked column charts are a type of chart that allows you to compare categories within a dataset by stacking the individual values on top of each other. This visual representation helps to easily identify patterns and trends in the data.
During this lecture, we will discuss the benefits of using stacked column charts for data comparison and demonstrate how to create and customize them using Google Data Studio. We will also explore the different ways in which stacked column charts can be used to effectively visualize data and present insights to stakeholders. By the end of this lecture, students will have a solid understanding of how to leverage stacked column charts to enhance their data visualization skills and effectively communicate their findings to others.
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19Time SeriesVideo lesson
In Lecture 18 of the Google Data Studio A-Z course, we will be focusing on Time Series charts for data visualization. We will explore how Time Series charts can be used to highlight trends over a period of time and how they can be effectively utilized in data analysis. We will also delve into creating Line and Area charts within Looker Studio to showcase patterns and relationships in the data.
Throughout this lecture, we will learn how to effectively use Time Series charts to present data in a visually appealing and informative manner. We will cover how to customize the charts to suit specific data visualization needs and how to interpret the trends that are highlighted in the charts. By the end of this lecture, students will have a solid understanding of how to utilize Time Series, Line, and Area charts in Looker Studio for effective data visualization and analysis. -
20Update to Time Series chartVideo lesson
In this lecture, we will be focusing on updating the Time Series chart in Google Data Studio. We will discuss the different customization options available for Time Series charts, including how to change the colors and styles of the lines, adjust the interval time, and add data labels. We will also cover how to format the axes, add annotations, and adjust the date range to highlight specific trends in your data over time.
Additionally, we will explore how to create Line and Area charts in Google Data Studio to further enhance data visualization. We will discuss the differences between these two types of charts and when it is best to use each one. By the end of this lecture, you will have a thorough understanding of how to use Time Series, Line, and Area charts to effectively highlight trends in your data and create visually appealing dashboards in Google Data Studio. -
21Line Chart and Combo ChartVideo lesson
In Lecture 20 of the Google Data Studio A-Z course, we will be diving into the topic of Line Charts and Combo Charts. Line Charts are a powerful tool for visualizing trends over time, making them especially useful for analyzing time series data. We will learn how to create interactive Line Charts in Looker Studio that allow us to highlight key trends and patterns in our data.
Additionally, we will explore Combo Charts, which combine different types of charts - such as Line and Bar charts - to provide a more comprehensive view of our data. By understanding how to create Combo Charts in Looker Studio, we will be able to showcase multiple dimensions of our data in a single visualization, allowing for deeper insights and more compelling presentations. Overall, this lecture will equip us with the skills and knowledge necessary to effectively utilize Line Charts and Combo Charts for data visualization in our projects. -
22QuizzesQuiz
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23Pie Chart and Donut ChartVideo lesson
In Lecture 21 of the Google Data Studio A-Z course, we will be covering how to create pie charts and donut charts in Looker Studio for data visualization. We will discuss the importance of highlighting contribution to the total using these types of charts, as they provide a clear visual representation of how each category contributes to the overall dataset. We will go over the steps to create these charts in Looker Studio, including how to customize them to best represent the data at hand.
During this lecture, we will explore the different ways in which pie charts and donut charts can be used to effectively display data in a visually appealing manner. We will discuss the best practices for creating these charts, including how to choose the right colors, labels, and formatting options to make the information easy to understand at a glance. By the end of this lecture, students will have a solid understanding of how to use pie charts and donut charts in Looker Studio to highlight contribution to the total in their data visualizations. -
24Stacked Area ChartsVideo lesson
In Lecture 22 of the Google Data Studio A-Z course, we will be covering Stacked Area Charts. Stacked Area Charts are useful for visualizing the cumulative contribution of different categories over time. We will learn how to create Stacked Area Charts within Google Data Studio, how to add multiple metrics to the chart, and how to customize the style and appearance of the chart to effectively communicate data insights.
Additionally, we will explore different ways to use Stacked Area Charts to highlight the contribution of each category to the total. By adding labels, tooltips, and legends to the chart, we can make it easier for viewers to understand the data and identify trends. We will also learn how to compare data across different categories using Stacked Area Charts, and how to create insightful visualizations that tell a compelling data story. -
25Updated data file for area chartText lesson
In this lecture, we will be focusing on using Google Data Studio to create visually appealing pie charts and donut charts that highlight the contribution of individual data points to the total. We will learn how to customize these charts to effectively convey information and insights to our audience. By the end of this lecture, you will have a solid understanding of how to create and manipulate pie and donut charts in Google Data Studio for data visualization purposes.
Additionally, we will be exploring how to update the data file for an area chart in Google Data Studio. We will walk through the steps of importing new data into our existing area chart and making any necessary adjustments to ensure that the chart accurately reflects the most up-to-date information. By the end of this lecture, you will have the skills needed to keep your data visualizations current and relevant for your audience. -
26QuizQuiz
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28Pivot tables for cross tabulationVideo lesson
In this lecture, we will delve into the topic of pivot tables for cross tabulation within Looker Studio for data visualization. We will explore how pivot tables can be used to aggregate data based on two dimensions, allowing us to analyze and compare data in a more comprehensive manner. By the end of this lecture, you will have a deeper understanding of how to create pivot tables in Looker Studio and use them effectively for cross tabulation.
We will also discuss some best practices and tips for working with pivot tables in Looker Studio, including how to customize the layout and format of the table to suit your specific data visualization needs. By mastering the art of pivot tables for cross tabulation, you will be able to unlock new insights from your data and make more informed decisions based on the patterns and trends that emerge. -
29QuizQuiz
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32Branding a Report: Brand Logo and Company DetailsVideo lesson
In this lecture, we will discuss the importance of branding in data visualization and how to brand a report using Google Data Studio. We will focus on adding a brand logo to your report, as well as incorporating company details such as colors, fonts, and styles to create a cohesive and professional look. By branding your report, you can make it easily recognizable to your audience and build trust in the information you are presenting.
We will also explore different ways to customize your report with your brand's logo and colors, ensuring that it aligns with your company's branding guidelines. Additionally, we will cover how to adjust the size and placement of the logo, as well as how to include company details such as contact information and website links. By the end of this lecture, you will have the knowledge and tools needed to effectively brand your report in Google Data Studio and create visually appealing and informative data visualizations for your audience. -
33Brand colors for report brandingVideo lesson
In this lecture, we will explore the importance of branding in data visualization reports created in Google Data Studio using Looker Studio. We will discuss how branding can enhance the overall appearance and user experience of a report, making it more recognizable and aligning it with the organization's visual identity. We will specifically focus on the use of brand colors, which play a crucial role in conveying the brand's personality and creating a cohesive and professional look for the report.
We will delve into the process of selecting and implementing brand colors in a report, including how to integrate them harmoniously with the existing design elements. We will also explore best practices for using brand colors effectively to draw attention to key information and create a visually appealing and engaging report. By the end of this lecture, you will have a solid understanding of how to leverage brand colors to create a branded report that not only conveys data effectively but also reflects the unique identity of your organization.
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36Blending data from multiple tablesVideo lesson
In Lecture 32 of Section 16 of the course "Google Data Studio A-Z: Looker Studio for Data Visualization," we will discuss the concept of blending data from multiple tables. Often, data is spread across multiple tables, making it challenging to analyze and visualize. In this lecture, we will learn how to combine data from different tables in order to create comprehensive and meaningful visualizations.
We will explore various techniques for blending data, including using common fields to link tables, using join functions to merge tables, and creating calculated fields to combine data in a meaningful way. By the end of this lecture, students will have a solid understanding of how to effectively blend data from multiple tables to create cohesive and insightful visualizations in Looker Studio. -
37Different types of Joins while blending dataVideo lesson
In Lecture 33 of the Google Data Studio A-Z course, we will be discussing the different types of Joins that can be used when blending data from multiple tables. When data is spread across various tables, it is important to understand how to properly join them together to create a cohesive dataset for visualization. We will cover inner joins, left joins, right joins, and outer joins, explaining the differences between each type and when it is most appropriate to use them in data blending.
By the end of this lecture, students will have a clear understanding of how to effectively merge data from different tables using various types of joins. This knowledge will empower them to create more comprehensive and accurate visualizations in Google Data Studio, enhancing their ability to extract valuable insights from complex datasets. Join us as we explore the nuances of data blending and learn how to master this essential skill for data visualization professionals.
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38Downloading report as PDF and Page ManagementVideo lesson
In Lecture 34 of the "Google Data Studio A-Z: Looker Studio for Data Visualization" course, we will be covering the process of downloading reports as PDFs and managing pages within the Data Studio platform. This lecture will explore the various options available for exporting reports in a PDF format, allowing users to share finalized reports with clients, stakeholders, or team members. Additionally, we will delve into the importance of page management within Data Studio, discussing how to efficiently organize and structure your reports for optimal clarity and understanding.
During this lecture, we will walk through step-by-step instructions on how to download reports as PDFs, ensuring that your data visualizations are easily accessible and shareable. We will also explore different strategies for managing pages within Data Studio, including how to reorder, rename, and delete pages to create a cohesive and coherent reporting structure. By the end of this lecture, students will have a comprehensive understanding of how to effectively share and collaborate on Data Studio reports, enhancing their ability to communicate insights and analysis through compelling data visualizations. -
39Sharing report and Data CredentialsVideo lesson
In Lecture 35 of the "Google Data Studio A-Z: Looker Studio for Data Visualization" course, we will be diving into the topic of sharing and collaborating on Data Studio reports. We will discuss the different sharing options available within Data Studio, including sharing with specific individuals, groups, and making reports public. We will also explore how to set permissions and access levels for each collaborator to ensure data security and confidentiality.
Additionally, in this lecture, we will cover how to share data credentials securely within Data Studio. We will walk through the process of setting up data credentials and managing access to data sources, ensuring that only authorized users can connect to and view sensitive data. By the end of this lecture, students will have a thorough understanding of how to share reports and data credentials effectively in Data Studio, enabling seamless collaboration and data sharing among team members. -
40Sharing report using a linkVideo lesson
In this lecture, we will delve into the topic of sharing and collaborating on Data Studio reports. We will explore different ways to share your reports, including sharing them using a link. We will discuss the various permissions you can set when sharing a report, such as view-only access or editor access, to control who can view or edit the report.
Additionally, we will review best practices for collaborating on Data Studio reports with team members, clients, or stakeholders. We will cover how to effectively communicate and collaborate on projects using comments, annotations, and sharing features within Data Studio. By the end of this lecture, you will have a comprehensive understanding of how to share and collaborate on Data Studio reports, making it easier to work with others on data visualization projects. -
41Scheduling emailsVideo lesson
In this lecture, we will be covering the process of scheduling emails in Google Data Studio. Email scheduling allows you to automatically send your Data Studio reports to yourself or others on a regular basis, making it easier to stay up-to-date with the latest insights and analysis. We will discuss how to set up email schedules, customize the delivery frequency and time, and include any necessary information or analysis in the email.
Additionally, we will explore the importance of sharing and collaborating on Data Studio reports with team members or clients. We will demonstrate how to share reports with specific individuals or groups, control access levels, and collaborate in real-time on the same report. By the end of this lecture, you will have a thorough understanding of how to effectively share and collaborate on Data Studio reports to enhance communication and decision-making within your organization. -
42Embeding report on WebsiteVideo lesson
Hello everyone, in today's lecture we will be discussing how to share and collaborate on Data Studio reports. We will cover the various options available for sharing reports with others, including sharing via email, creating a link to the report, and embedding the report on a website. We will also explore how to set permissions for different users to view and edit the report, as well as how to collaborate with others in real-time on the same report.
Next, we will focus on embedding Data Studio reports on a website. We will walk through the steps to embed a report on a website, including generating an embed code and customizing the appearance of the embedded report. We will also discuss best practices for embedding reports, such as ensuring that the report is responsive and properly aligned with the design of the website. By the end of this lecture, you will have a clear understanding of how to easily share and collaborate on Data Studio reports, as well as how to effectively embed reports on websites for easy access and viewing.
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43Connecting and Visualizing Data in Google BigQueryVideo lesson
In this lecture, we will delve into the topic of connecting and visualizing data in Google BigQuery. Google BigQuery is a powerful data warehousing tool that allows users to store and analyze massive datasets in a scalable and cost-effective manner. We will explore the various ways in which data can be imported into BigQuery and how to connect your Google Data Studio to BigQuery to efficiently visualize and analyze your data.
Additionally, we will cover how to create visually appealing and informative data visualizations using Google Data Studio. By connecting Google Data Studio to Google BigQuery, users can create dynamic and interactive reports that provide valuable insights into their data. We will walk through the process of connecting these two tools and discuss best practices for creating visually engaging and informative data visualizations. -
44QuizQuiz
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45Highlighting chart messageVideo lesson
In this lecture, we will be discussing the importance of highlighting chart messages in data visualization. We will explore the different ways in which you can effectively emphasize key insights and trends within your charts to ensure that your audience easily understands the main message you are trying to convey. By utilizing various highlighting techniques such as color, annotations, and data labels, you can draw attention to specific data points and make your charts more visually appealing and informative.
Additionally, we will cover some best practices for creating visually impactful charts that effectively convey your data. We will discuss the importance of using clear and concise titles, labels, and legends to help your audience interpret the information presented in your charts. By following these guidelines, you can create visually engaging and informative charts that effectively communicate your data insights to your audience. -
46Eliminating Distractions from the GraphVideo lesson
In Lecture 41 of Section 19: Charting Best Practices, we will be discussing the importance of eliminating distractions from your graphs in Google Data Studio. By removing unnecessary elements and focusing on the most crucial data points, you can create visuals that effectively communicate your message to your audience. We will explore different techniques for simplifying your charts, such as decluttering the background, using a limited color palette, and avoiding unnecessary gridlines and labels.
Additionally, we will cover the best practices for ensuring that your graphs are easy to interpret and visually appealing. By following principles such as aligning data points, using appropriate chart types, and clearly labeling your axes, you can create charts that are both visually appealing and informative. We will also discuss the importance of using consistent formatting throughout your reports to maintain a cohesive and professional look. By the end of this lecture, you will have the tools and knowledge to create visually impactful and distraction-free graphs in Google Data Studio. -
47Avoiding clutterVideo lesson
In Lecture 42 of Section 19 on Charting Best Practices, we will be focusing on avoiding clutter in our data visualizations. Cluttered charts can confuse viewers and make it difficult to extract insights from the data. We will discuss the importance of simplifying charts by removing unnecessary elements such as redundant labels, gridlines, or data points that do not add value to the overall message. By decluttering our charts, we can improve the overall readability and effectiveness of our visualizations.
Additionally, we will explore techniques for organizing and prioritizing data in our charts to avoid overwhelming the viewer. This includes using color, size, and spacing strategically to draw attention to key data points while still providing context for the entire dataset. By following these best practices for avoiding clutter in our data visualizations, we can create more impactful and engaging charts that effectively communicate our message to the audience. -
48Avoiding the Spaghetti plotVideo lesson
In Lecture 43 of the "Google Data Studio A-Z: Looker Studio for Data Visualization" course, we will be discussing charting best practices specifically focusing on avoiding the spaghetti plot. The spaghetti plot is a common mistake made in data visualization where too many lines or categories are plotted on a graph, leading to a cluttered and confusing display of information. By learning how to avoid the spaghetti plot, you will be able to create clear and effective visualizations that effectively communicate your data insights to your audience.
During this lecture, we will explore strategies for simplifying your charts and graphs to avoid overcrowding and ensure that your data is presented in a clear and organized manner. We will discuss techniques such as limiting the number of data series, using color and grouping to differentiate categories, and adjusting axis scales to improve readability. By implementing these best practices, you will be able to create visually engaging and informative data visualizations that effectively convey your message and insights to your audience. -
49The final milestone!Video lesson

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