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Ratings and Reviews 1 Rating
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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.
What is JMP Statistical Software?
JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations.
Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively.
Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.
Integrations Supported
Azure SQL Database
Google Sheets
IBM Db2
IBM SPSS Statistics
Impala
JSON
Ledge
MariaDB
Microsoft Access
Minitab Statistical Software
Integrations Supported
Azure SQL Database
Google Sheets
IBM Db2
IBM SPSS Statistics
Impala
JSON
Ledge
MariaDB
Microsoft Access
Minitab Statistical Software
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$1320/year/user
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
SAS
Date Founded
1976
Company Location
United States
Company Website
www.sas.com/en_us/software/on-demand-for-academics.html
Company Facts
Organization Name
JMP Statistical Discovery
Date Founded
1989
Company Location
United States
Company Website
www.jmp.com
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
Dashboard
Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Cleansing
Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis
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