The goal of this course is to provide future analytics and data science professionals with the practical skills needed to visualize data effectively and tell compelling stories with data. Students ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Introduction to scientific and information visualization. Topics include methods for visualizing three-dimensional scalar and vector fields, visual data representations, tree and graph visualization, ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning ... This tutorial is not meant as an ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...

We will also include introduction to basic algorithms and data structures ... Databases and data warehousing, exploratory data analysis and visualization, an overview of data mining algorithms, ...

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

data analytics and visualization software are usually at the top of the big data “technology stack.” They are the software tools that business analysts and information workers use to gain ...

The systematic analysis of data, ranging from descriptive (what is) to predictive and prescriptive (what will happen, what is the best course of action). Tableau is a data visualization platform that ...