Today, the amount of data that organizations collect is unprecedented. However, being able to find the “right” data and create innovative data analytics solutions is just the first challenge. The ...

This article serves as a guide to data visualization, analytics, and machine learning platforms. Here I will discuss the features, use cases, user personas, and differentiating capabilities of ...

The program teaches skills in programing, modeling, machine learning, data visualization and databases and to assess how data can be used to solve novel problems. You will also learn about the ethical ...

While data scientists require skills in project management, programming, statistics, machine learning, and visualization, their work primarily involves the use of analytical tools and techniques ...

This course may be taken individually or as part of the Professional Certificate Program In Machine ... data analytics: opportunities, types of data analytics problems; supervised, unsupervised, and ...

Text mining, social network analysis, and data visualization are ... with historical data and machine learning that have inspired the Discoverability Lab’s work. Cover image from Smithsonian ...

To help the workforce better understand topics such as machine learning, data visualization and data ... it and learn how to apply it to the work they do daily. “As I think about data analytics ...

In today’s age, where businesses generate more data than ever before, the challenge is no longer just collecting information—it’s making sense of it. Data visualization has emerged as a ...

AI, Machine Learning & Robotics research at Drexel ... through fundamental and applied work in computer vision and pattern recognition, data science, knowledge representation and automatic metadata ...