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Data Analytics and Visualization with Google Data Studio
20 students

Data Analytics and Visualization with Google Data Studio

Create engaging, interactive, and beautiful visual stories and dashboards
Created by247 Learning
Last updated 3/2026
English

What you'll learn

  • connect Data Studio to Google Sheets
  • Create powerful Scorecards to display key metrics and KPIs
  • Learn how to calculated field
  • Create various types of charts to visualize you data
  • Create time series chart to display data over a time period
  • Create control filters to interact with your data.
  • Create Add data range filters to control data displayed in your dashboards
  • Learn to share your Reports and Dashboards with other users
  • Create Geo chart to visualize data across geographic regions
  • Create control filters to filter data by specific dimension values
  • Create date range control to display selected dates in your report
  • Create and customize your dashboards

Course content

4 sections35 lectures2h 16m total length
  • Overview of data analytics and its importance in decision-making2:10
  • Introduction to data visualization and its benefits2:18
  • Overview of Google Data Studio and its capabilities2:28
  • Advanced data visualization techniques and tips2:26
  • Overview of data analysis8:14

Requirements

  • You will need access to a free Google Account
  • You will need access to Google Sheets which is free
  • You will need access to Google Data Studio which is free

Description

In today’s data-driven world, businesses, organizations, and individuals rely on data analytics and visualization to make informed decisions. Google Data Studio is a powerful business intelligence (BI) tool that allows users to transform raw data into interactive and insightful reports. This hands-on course will teach you how to analyze, visualize, and present data effectively using Google Data Studio.

Whether you are a beginner looking to understand data analytics or a professional aiming to improve your data storytelling skills, this course provides a step-by-step approach to mastering Google Data Studio and creating dynamic, data-driven reports.

Why Learn Google Data Studio?

Google Data Studio is an essential tool for data professionals, marketers, business analysts, and decision-makers who need to:

  • Turn complex datasets into interactive dashboards

  • Analyze trends, patterns, and insights to make data-driven decisions

  • Integrate multiple data sources, including Google Sheets, SQL databases, and marketing platforms

  • Automate reporting workflows, reducing manual data processing

  • Create customized, shareable reports that enhance business intelligence

With Google Data Studio, you can build powerful visualizations without any coding, making it an accessible and efficient tool for all skill levels.

What Makes This Course Unique?

This course is designed to be practical and interactive, ensuring that you gain real-world experience working with data. You will import, clean, analyze, and visualize data, building custom dashboards that provide meaningful insights.

What You Will Learn

Introduction to Data Analytics and Visualization

  • Understand the importance of data analytics in business decision-making

  • Learn the fundamentals of data visualization and its impact

  • Explore Google Data Studio’s capabilities for creating interactive reports

  • Discover advanced data visualization techniques and best practices

Getting Started with Google Data Studio

  • Set up and navigate Google Data Studio’s interface

  • Learn about data sources, connectors, and integrations

  • Understand Google Data Studio’s glossary and key terms

Data Analytics and Visualization with Google Data Studio

  • Import and connect data sources such as Google Sheets and databases

  • Work with dimensions and metrics to structure and analyze data

  • Configure data refresh settings to ensure up-to-date insights

  • Explore edit and view modes to customize reports

Creating Data Visualizations

  • Build Pie Charts to represent proportions

  • Use Bar Charts for trend and comparison analysis

  • Create KPI Scorecards to highlight key performance indicators

  • Display structured information with Table Charts

  • Sort and filter data for enhanced dashboard interactivity

  • Design Time Series Charts to visualize trends over time

  • Customize Geo Charts to display data across geographic regions

Data Cleaning, Transformation, and Customization

  • Use calculated fields to create new metrics and dimensions

  • Clean and transform raw data for accurate reporting

  • Apply control filters to filter data by specific dimensions

  • Set up date range controls for dynamic reporting

  • Customize dashboards for brand consistency and user engagement

Who Should Take This Course?

This course is ideal for:

  • Business Analysts & Data Professionals – Learn to create insightful reports and dashboards

  • Marketers & Digital Analysts – Analyze campaign data and measure performance effectively

  • Finance & Operations Teams – Build reports that drive business decisions

  • Entrepreneurs & Small Business Owners – Track business performance with interactive dashboards

  • Students & Career Changers – Gain skills in data analytics without needing coding experience

Why Take This Course?

  • Hands-on, Practical Training – Work with real-world datasets to build interactive dashboards

  • Step-by-Step Guidance – Learn Google Data Studio from scratch with easy-to-follow lessons

  • No Coding Required – Master data analytics using a user-friendly, drag-and-drop interface

  • Business-Ready Skills – Create reports that can be applied in marketing, sales, finance, and business intelligence

By the end of this course, you will have the skills to analyze, visualize, and present data effectively, helping you make data-driven decisions and build professional reports with Google Data Studio.


Who this course is for:

  • Google Sheets users who want to create stunning data visuals
  • Excel users who want to create stunning data visuals
  • Beginners to data analysis and visualization