Data Visualization
The specialization "Data Visualization" is intended for post-graduate students seeking to develop advanced data visualization skills. Through three comprehensive courses, you will explore foundational and specialized visualization techniques, including data representation, design principles, network visualization, and volume rendering. As organizations increasingly rely on data for decision-making, the ability to effectively visualize and analyze complex datasets is more valuable than ever.
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- Level Foundation
- Duration 16 hours
- Course by Johns Hopkins University
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About
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.Auto Summary
"Data Visualization" is an essential course within the Data Science & AI domain, offered by Coursera and instructed by expert faculty. This foundational course spans 960 minutes and delves into creating and critically evaluating digital maps, charts, and graphs using R. It is structured into four sections, beginning with basic R skills and advancing to interactive data visualization and a final project. Ideal for beginners and professionals, it offers Starter, Professional, and Paid subscription options. This course is perfect for those aiming to harness the power of big data through compelling visual representations.
Jesus Caban