Data Visualization

Filter Courses within "Data Visualization" (Click to filter)
Fundamentals of GIS (Coursera) Coursera
University of California, Davis

Fundamentals of GIS (Coursera)

Discover the fundamentals of Geographic Information Systems (GIS) in this engaging online course. Whether you're new to geospatial analysis or looking to enhance your skills, this course will guide you through essential concepts, practical applications, and advanced mapping techniques. Learn how GIS can transform data into actionable insights and create compelling visual representations of spatial information.

Oct 19th 2026
4 Weeks
Meaningful Marketing Insights (Coursera) Coursera
Emory University

Meaningful Marketing Insights (Coursera)

Discover the art and science of extracting valuable insights from consumer data in our Introduction to Marketing Analytics course. Designed for marketers, this course teaches you how to harness surveys, transaction histories, billing records, and more to predict future behavior and drive effective marketing strategies. Learn with practical exercises using Microsoft Excel.

Oct 19th 2026
5-12 Weeks
Business Analytics Using Forecasting (FutureLearn) FutureLearn
National Tsing Hua University

Business Analytics Using Forecasting (FutureLearn)

Discover how businesses can leverage big data analytics to make accurate forecasts and improve decision-making processes. This FutureLearn course will guide you through the essentials of forecasting using big data, empowering you to transform raw data into actionable insights that drive organizational success.

Self Paced
5-12 Weeks
Essential Design Principles for Tableau (Coursera) Coursera
University of California, Davis

Essential Design Principles for Tableau (Coursera)

Discover the secrets to creating compelling Tableau visualizations with our 'Essential Design Principles for Tableau' course. Designed for those who already have a grasp on Tableau's tools and data visualization basics, this course will guide you through applying key design principles to transform your data into powerful stories that resonate with your audience.

Oct 19th 2026
4 Weeks
Building Data Visualization Tools (Coursera) Coursera
Johns Hopkins University

Building Data Visualization Tools (Coursera)

Unlock the power of data visualization with our 'Building Data Visualization Tools' course. Designed for aspiring data scientists, this course equips you with the skills needed to develop cutting-edge visualization techniques that bring complex datasets to life. Perfect for those looking to enhance their data storytelling abilities and contribute to the data science revolution.

Oct 19th 2026
4 Weeks
Visual Analytics with Tableau (Coursera) Coursera
University of California, Davis

Visual Analytics with Tableau (Coursera)

Dive deep into the world of data visualization with 'Visual Analytics with Tableau'. This Coursera course is designed for those who want to enhance their skills in transforming complex datasets into clear, actionable insights using Tableau's powerful tools. From charting techniques to advanced mapping and table calculations, this course equips you with the expertise needed to make data storytelling a reality.

Oct 19th 2026
4 Weeks
Data Science: Visualization (edX) EdX
HarvardX,Harvard University

Data Science: Visualization (edX)

Discover the fundamentals of data visualization and explore how to effectively analyze and present data through this beginner-friendly course on edX. With a focus on practical application, you'll learn to use ggplot2 in R to create compelling visual representations of data. Perfect for those new to data science or looking to refine their exploratory analysis skills.

Self Paced
Self-Paced
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Elevate your career in data science by completing the Professional Certificate Program in Data Science and culminate it with our Data Science: Capstone project on edX. This final project will challenge you to apply your knowledge of data visualization, probability, inference, modeling, data wrangling, organization, regression, and machine learning through practical R data analysis tasks.

Self Paced
Self-Paced