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SAS Data Science Programming

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Company health

Employee growth
7% increase in the last year
Web traffic
10% decrease in the last quarter
Financing
July 2022 - $1M

Ratings

G2
4.4/5
(450)

SAS Data Science Programming description

SAS Data Science Programming software helps users analyze data using either programming or point-and-click interfaces. It offers tools for statistical analysis, data mining, forecasting, and AI. While suitable for beginners, it also provides advanced features for experienced data scientists. SAS offers a cloud-based learning environment with data storage.


Who is SAS Data Science Programming best for

SAS Data Science Programming, now SAS Viya Programming, is a powerful tool for data scientists of all skill levels. Users praise its intuitive GUI, efficient handling of large datasets, and seamless integration with other SAS tools. However, some users note a steep learning curve and high licensing costs. It offers a cloud-based environment with data storage, perfect for those seeking a comprehensive data science solution.

  • Ideal for small, medium, and large enterprises.

  • Best fit for Healthcare, Manufacturing, Education, Software, and Professional Services.


SAS Data Science Programming features

Supported

SAS OnDemand for Academics provides a browser-based programming environment using SAS Studio.

Supported

JMP software offers a range of statistical discovery tools, from basic statistics to data mining.

Supported

SAS Viya Workbench for Learners provides cloud-based access to open source tools and interfaces.

Supported

SAS Model Studio facilitates building and assessing analytical models using a drag-and-drop, interactive interface.

Supported

SAS University Edition is a free software version for academic purposes.

Supported

SAS Viya for Learners offers access to SAS Viya, a cloud-based analytics and AI platform.

Supported

SAS Academy for Data Science provides learners with job-ready skills for a data science career.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Value and Pricing Transparency

Strongly negative
-0.83

Customer Service

Strongly positive
+0.71

Ease of Use

Rather positive
+0.5

Reliability and Performance

Rather positive
+0.67

Ease of Implementation

Neutral
+0.04

Scalability

Neutral
+0.29

SAS Data Science Programming reviews

We've summarised 450 SAS Data Science Programming reviews (SAS Data Science Programming G2 reviews) and summarised the main points below.

Pros of SAS Data Science Programming
  • Easy to use GUI and point-and-click interface for model building
  • Handles large datasets efficiently for forecasting
  • Seamless integration with other SAS tools
  • Provides accurate results and valuable insights
  • Offers cloud-based environment with data storage
Cons of SAS Data Science Programming
  • Steep learning curve, especially for those unfamiliar with SAS
  • High licensing costs, potentially prohibitive for smaller businesses
  • Limited open-source integration
  • Occasional performance issues with very large datasets or complex models
  • Customer support can be slow or unresponsive

SAS Data Science Programming pricing

The commentary is based on 78 reviews from SAS Data Science Programming G2 reviews.

SAS offers three free software options for academic purposes: SAS OnDemand for Academics, SAS Viya for Learners, and SAS Viya Workbench for Learners. These cater to students, educators, and independent learners seeking tools for data analysis, statistical modeling, machine learning, and AI.

Users sentiment

Strongly negative
-1

See the SAS Data Science Programming pricing page.

  • SAS Data Science Programming has a free plan.


SAS Data Science Programming alternatives

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    SAS Viya
    Cloud analytics platform for powerful insights and AI-driven decisions.
    Read more
  • Logo of Altair Analytics Workbench
    Altair Analytics Workbench
    Unite code-based and visual data science, from exploration to deployment.
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    SAS Business Intelligence
    Analyze data, visualize insights, and make smarter decisions.
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SAS Data Science Programming FAQ

  • What is SAS Data Science Programming and what does SAS Data Science Programming do?

    SAS Data Science Programming, or SAS Viya Programming, is a powerful data analysis tool offering both programming and point-and-click interfaces. It excels in statistical analysis, data mining, forecasting, and AI, catering to users of all skill levels. SAS provides a cloud-based environment for learning and data storage.

  • How does SAS Data Science Programming integrate with other tools?

    SAS Data Science Programming, now SAS Viya Programming, seamlessly integrates with other SAS tools. It also offers a cloud-based environment facilitating data storage and access within the SAS ecosystem. However, it has limited open-source integration.

  • What the main competitors of SAS Data Science Programming?

    Top alternatives to SAS Data Science Programming include Altair Analytics Workbench, Microsoft Power Platform, and SAP Customer Data Solutions. These competitors offer similar data analysis and business intelligence capabilities, often with varying pricing and target user profiles.

  • Is SAS Data Science Programming legit?

    Yes, SAS Data Science Programming, now SAS Viya Programming, is a legitimate and widely used software for data analysis and modeling. It is known for its powerful capabilities, especially for handling large datasets, but it has a steep learning curve and can be expensive.

  • How much does SAS Data Science Programming cost?

    I couldn't find pricing details for SAS Data Science Programming. Contact the vendor directly to determine if SAS Data Science Programming is worth the investment for your data science needs.

  • Is SAS Data Science Programming customer service good?

    Customer reviews on SAS Data Science Programming's customer service are mixed. While some praise the helpful and responsive support, others mention slow or unresponsive service. More detailed documentation and readily available resources could improve the customer experience.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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