Advanced Data Visualization
edX
Learn basic data visualization principles and how to apply them using ggplot2.
More resources on Data Visualization
tableau.com
Tableau is a leading data visualization platform that helps you connect to data, build interactive dashboards, and share insights across teams. The site provides product information and downloads as well as extensive learning resources, including tutorials, training videos, documentation, sample dashboards, and access to the Tableau Community.
Data Visualization with Tableau
Dive deep into the compelling world of data visualization with this beginner-friendly course, illuminating the art of transforming data into insightful visuals using Tableau. Arranged in four comprehensive modules, this course outlines a clear learning trajectory, transitioning from foundational concepts to advanced visualization techniques. In the initial module, the focus is on grasping the essentials of Tableau, the cornerstone of effective data visualization. Here, you'll acquaint yourself with Tableau's fundamental tools and features, setting a solid base for your data storytelling journey. The subsequent module propels you into the world of data transformation. Dive deep into Tableau's core functionalities, from understanding the dynamics of Marks Cards and Legends to the significant roles of Green and Blue pills. This phase empowers you to mold raw data into compelling visual stories. Progressing further, the third module introduces you to the vast spectrum of Tableau charts. From basic bar charts to complex visualizations, you'll learn to select the apt visual medium, ensuring your data narratives resonate and captivate. Concluding your journey, the fourth module immerses you in advanced Tableau techniques and dashboard design. By leveraging sophisticated features and crafting interactive dashboards, you'll be able to present your insights with greater impact. By the end of the course, not only will you have a portfolio of compelling data visualizations to showcase, but you'll also possess a profound understanding of data visualization principles and a robust proficiency in Tableau. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Salesforce Inc. or any of its subsidiaries or affiliates. This course is not an official preparation material of Salesforce Inc.. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
datavizcatalogue.com
Data Viz Catalogue is a comprehensive, browsable library of data visualization types, offering clear definitions, use cases, and visual examples to help you select the right chart for your data. Each entry explains when to use the design, how it differs from similar visuals, and shows representative illustrations.
Data Visualization Fundamentals
Data Visualization Fundamentals is designed to introduce you to the powerful world of data visualization using Power BI. This course will guide you through the basics of creating visually appealing and meaningful reports, charts and graphs. You'll learn how to identify the right visualization for different types of data, and how to use Power BI's tools to build reports that tell compelling stories with data. Whether you're new to data visualization or looking to sharpen your skills, this course provides practical knowledge that you can apply immediately. By the end, you'll be equipped with foundational skills to help drive data-informed decisions.
Data Visualization: A Practical Introduction
Data Visualization: A Practical Introduction - A book resource
towardsdatascience.com
Towards Data Science is a popular online publication offering practical tutorials, explainers, and case studies on data science topics, with a focus on data visualization techniques, tools, and best practices. It hosts articles by data science practitioners covering Python, R, visualization libraries, ML, and analytics concepts.