Data Analytics

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Tableau 10.1

Tableau 10.0 offers many new features and enhancements --including more ways to connect and prep your data for analysis, improved formatting, new visual analytics features to help you ask and answer deeper questions, and lots of features for Tableau Server that makes content more discoverable and administration even easier.

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SAS 9.4

The SAS® platform has something for everyone. High-performance analytics. The ability to deploy in cloud environments. Standardized data management. It's more of what you need. And more of what you’ve come to expect from SAS.

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JMP Pro 12

JMP Pro goes to the next level by offering all the capabilities of JMP plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.

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R i386 3.1.1

Freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc.

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RapidMiner 5

RapidMiner Studio is a powerful visual programming environment for rapidly building complete predictive analytic workflows. This all-in-one tool features hundreds of pre-defined data preparation and machine learning algorithms to efficiently support all your data science needs.

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CPLEX Studio IDE 12.6

IBM® ILOG® CPLEX® Optimization Studio is an analytical decision support toolkit for rapid development and deployment of optimization models using mathematical and constraint programming.

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IBM SPSS Modeler 16.0

IBM® SPSS® Modeler 16.0 is a powerful, versatile data mining workbench that helps you build accurate predictive models quickly and intuitively, without programming.

About Data Analytics

Description

Data Analytics is an important field for businesses around the globe. Companies are collecting more data than ever before. Through a variety of different techniques, companies are able to make qualitative and quantitative observations about behavioral and data patterns. From these observations they are able to make better and more competitive business decisions.

Equipment Reservation

Reservation Process

When equipment is required for extended periods of time in the Innovation Space and Research Lab it must be signed out. Equipment cannot leave the department. You can fill out the form but you must also leave your Student ID with the Lab Specialist.

Equipment Reservation Form

Tech Kits

Tech Kits are part of the walk-in service provided by OPIM Innovate. There are three levels of difficulty meant for different users and their experience with the different technologies. Many of the Tech Kits build off each other as you progress.

Beginner

Tableau

Length: 30 - 60 Minutes

Description: Tableau is an interactive data visualization software. Data visualization is the process of changing the way we look a data by providing a visual context that helps us make more meaningful insights. With the rise of data analytics in all fields of business, the ability to draw meaningful insights is crucial. This tutorial walks the user through the Tableau platform and how to make basic visualizations.

Intermediate

Splunk

Length: 30 - 60 Minutes

Description: In the world of Data Analytics there is a lot of discussion around how to handle “Big Data”. Splunk makes it simple to collect and analyze vasts amount of data. One of the great things about Splunk is its ability to quickly store and interpret machine data. This tech kit will walk the user through how to begin analyzing the data collected from IoT devices in the Gladstein Laboratory.

Advanced

SAS

Length: 30 - 60 Minutes

Description: When solving enterprise level data analytics problems SaS is typically the first thing that comes to mind. SaS stands for Statistical Analysis System and has been used for analyzing big data since the early days of computing. SaS has grown into a wide array of products. This tech kit will walk the user through how to analyze datasets using the SaS programming language.

Projects

Sample Project 1

Pulling data from Yahoo Finance we were able to compare stock prices in a data visualization using Tableau software.

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Sample Project 2

Students work on a number of group class projects on our dedicated workstation utilizing software like SAS and Enterprise miner to analyze and interpret data.

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