Google Data Studio 2020 - Learn Step By Step

Log in to Google Data Studio and begin creating visualizations in its interface, exploring reports, data sources, and explorer insights with useful search, help, and settings.

Open the new report interface, start a blank report with the plus sign, and review the terms and preferences. Connect data sources from the right panel, beginning with Google Analytics.

Connect to the Google Analytics demo account, explore the ecommerce data and three views, and access the master view for use in Google Data Studio.

Connect the Google Analytics e-commerce demo account to Google Data Studio, create a new data source from Google Analytics, select the merchandise store view, and prepare your report.

Add pages to a Google Data Studio report and rename them. Navigate pages with the page menu, and add scorecards and a line–combo chart showing sessions, page views, and users.

Explore how include and exclude filters focus data in your visualizations. Apply filters at report, page, or chart levels and enable viewer controls, with cascading effects across the hierarchy.

Apply a filter to a chart in Google Data Studio to focus on a subset of data, such as Google traffic, by using include filters on the source medium.

Apply a page level filter to all charts on a page in Google Data Studio, attach a default data source, and create a non Google traffic rule.

Apply a report level filter in Google Data Studio to ensure all components share the same data source. Create and save filters, and view their sequential effects across charts.

Learn to use a filter control in Google Data Studio to let users slice data by dimensions, apply filters on pages or whole reports, and set default values.

Learn to add and customize reference lines in Google Data Studio to compare data against targets, averages, and benchmarks across time series and other charts.

Change the default date ranges for charts, pages, and reports in Google Data Studio by selecting custom or fixed ranges. Apply last seven, fourteen, or 28 days or today.

Place a date range control in Google Data Studio to let users choose the period, ensure charts have a date dimension and auto data, and apply at report level.

Explore weighty formatting options in Google Data Studio, including applying themes, customizing colors, borders, fonts, and data styles to create visually effective reports.

Explore Google Data Studio report layout options, including header visibility, navigation placement, display mode, margins, canvas size, and grid-based alignment with snap-to features.

Connect Google Analytics with external sources like Excel files and Google Sheets in Google Data Studio. Create multi-source reports with time series charts showing page views and ad impressions.

Learn to blend data from multiple sources in a single Google Data Studio chart by joining on a common key, creating a blended data source with shared dimensions and metrics.

Learn to speed up report development in Google Data Studio by duplicating charts with all attributes and quickly changing chart types, using right-click copy or duplicate and adjusting metrics.

Learn to create calculated fields in Google Data Studio to derive new metrics and dimensions using aggregation, date/time, geo, text, and other functions, with chart-level and data-source level examples.

Learn how pivot tables in Google Data Studio reorganize dimensions and metrics to reveal patterns by date, medium, and source, with totals, sorting, and expand and collapse features.

Enable interactive filters in Google Data Studio by turning charts into filter controls, letting you filter other charts by selecting dimensions, dates, or multiple conditions.

Explore an evolving Google Data Studio course that adds new lectures and answers your questions, building a continuously updated, engaging learning experience.