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What is UNISTAT?

Performing robust statistical data analysis in Microsoft Excel can be quite demanding given the plethora of available add-ins and software solutions. Nonetheless, UNISTAT distinguishes itself by seamlessly blending the functionality and accuracy of a full-fledged statistical package into your routine for data analysis and visualization. To use UNISTAT as an add-in in Excel, you simply need to select a data range and pick a procedure from the UNISTAT menu options. Its intuitive dialogue boxes facilitate easy navigation, ensuring that users feel they are still within the familiar Excel environment rather than a separate program. This smooth integration not only boosts your analytical skills but also enriches your data analysis experience significantly, making UNISTAT a beneficial resource for those aiming to enhance their analytical proficiencies. Leveraging such tools can lead to more insightful interpretations of data, ultimately driving better-informed decisions.

What is SAS OnDemand for Academics?

Enjoy complimentary access to the powerful SAS software tailored for statistical analysis, data mining, and forecasting tasks. With its user-friendly point-and-click interface, programming expertise becomes unnecessary, empowering users to leverage cutting-edge statistical and quantitative methods anytime and from anywhere. SAS OnDemand for Academics grants access to the same top-notch analytics resources employed by more than 82,000 organizations worldwide, including all Fortune 500 companies across industries like banking, health insurance, pharmaceuticals, aerospace, e-commerce, and IT services. This opportunity is open to professors, educators, students, and independent learners, facilitating the ability to tap into SAS software's capabilities through the cloud with ease. The initial setup is simple, requiring only a dependable broadband internet connection to access this leading analytics platform after configuration. Moreover, users can engage with a vibrant community of SAS enthusiasts, enabling them to pose questions, share valuable insights, collaborate on diverse projects, and obtain support from fellow users. By connecting with this community, individuals can significantly enrich their learning journey and promote their professional development in the field. This collaborative environment fosters a sense of belonging and encourages continuous exploration of the software's extensive functionalities.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$995 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

UNISTAT

Date Founded

1984

Company Location

United Kingdom

Company Website

www.unistat.com

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/on-demand-for-academics.html

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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