Data Visualization Online Courses & Certifications
Data visualization is the process of presenting data in a visual or graphical format to make it easier to understand, interpret, and derive insights from. It involves transforming raw data into meaningful visual representations such as charts, graphs, maps, diagrams, and infographics.
The purpose of data visualization is to communicate complex information, patterns, and relationships in a clear and concise manner. By using visual elements like colors, shapes, sizes, and patterns, data visualization enables users to quickly grasp trends, outliers, correlations, and other important insights that may be difficult to perceive from raw data alone.
Various tools and software, such as Looker Studio, Tableau, Microsoft Power BI, and Python libraries like Matplotlib and D3.js, are available to create data visualizations. These tools offer a range of chart types, customization options, and interactivity features to help users create compelling and informative visual representations of their data.
This series of three courses is designed to take you through the cycle of data creation and introduce frameworks, resources, and essential Amplitude tools to help you be successful at each step. You will go through the Fundamentals of Data Taxonomy Design, the Instrumenting Your Data Taxonomy, as well as the Data Governance and Maintenance Best Practices courses. The Getting Started with Amplitude Data is not a prerequisite for this learning path; however, the Amplitude Data product will be referenced as a tool where appropriate.
Data visualization is a powerful tool for understanding and communicating data. In this Skill Path, you will learn how to leverage Matplotlib and Seaborn to make effective, appealing visualizations – from choosing the right chart type for the data, to correctly scaling axes for truth and accuracy, to building an argument through visual choices.
Visualizations are at the center of telling compelling data stories, and Tableau empowers everyone to tell a story with data, regardless of coding experience. Tableau is a leading business intelligence (BI) platform known for its friendly user experience and strong community.
Histograms are more than just bar charts. This course introduces you to the concepts of bins and breaks, and describing distributions visually while giving you hands on practice in creating your own histograms.
Learn to make effective data visualizations in Python with Matplotlib and Seaborn.
Create visualizations of your data with Microsoft Excel.
Learn D3, the popular interactive data visualization library.
Learn how to create different chart types, from bar charts, histograms, and scatter charts, to advanced sparkline and candlestick charts in Google Sheets.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
Learn how to use dplyr to transform and aggregate data, then add, remove, or change variables. You’ll then apply your skills to a real-world case study.
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.
Learn how to visualize your data using charts, graphs and maps as well as how to interpret common plot time, best practices for colors, shapes, and more.
Learn basic SQL reporting skills in this four-hour course. You will learn data exploration, cleaning and validation, creating reports, and complex calculations.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.