SAS® 9 Predictive Analytics Learning​ Subscription

Want to learn how to predict the future? Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. This is where SAS excels. Go beyond knowing simply what happened in the past to predicting your best assessment of what will happen in the future.
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About this Subscription

More companies are turning to predictive analytics to increase their bottom line and drive a competitive edge. The interactive and easy-to-use software from SAS ensures that predictive analytics is no longer just the domain of mathematicians and statisticians. Business analysts and line-of-business experts are now empowered to take advantage of these technologies, across all sectors, especially banking and financial services; retail; oil, gas and utilities; government; healthcare; and manufacturing. The most common uses of predictive analytics are detecting fraud, optimizing marketing campaigns, improving operations, and reducing risk.

Learn how to:

  • Engineer meaningful model inputs and preprocess data to improve model performance.
  • Integrate SAS predictive modeling capabilities with the R and Python programming languages.
  • Use predictive time-to-event modeling for customer history data using survival data mining methods.
  • Develop and evaluate profit-driven descriptive, predictive, and uplift analytics models.
  • Design, conduct, and analyze experiments specifically for marketing campaigns.
  • Manage analytical models using SAS Model Manager.
  • Perform predictive modeling with neural networks, tree models, and logistic regression models.
  • Use experimentation and incremental response models in data science.
  • Apply electric load forecasting for the power industry.

    • Before taking the predictive analytics courses in this subscription, you should have an understanding of basic statistical concepts, which you can gain from the Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course. It’s also recommended that you complete the  SAS® Programming 1: Essentials course or have equivalent knowledge. Both courses are available in instructor-led or free online e-learning formats.

    Courses Included

    Core Foundations of Predictive Analytics

    1

    • COURSE

      Applied Analytics Using SAS® Enterprise Miner™
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      ENROLL

    • COURSE

      Predictive Modeling Using Logistic Regression
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    • COURSE

      SAS® Programming for R Users
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      ENROLL

    • COURSE

      Strategies and Concepts for Data Scientists and Business Analysts
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      ENROLL

    Advanced and Specialty Topics

    2

    • COURSE

      SAS® Enterprise Miner™ Integration with Open Source Languages
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      ENROLL

    • COURSE

      Using SAS® to Put Open Source Models into Production
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    • COURSE

      Feature Engineering and Data Preparation for Analytics
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      ENROLL

    • COURSE

      Experimentation in Data Science
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      ENROLL

    • COURSE

      Advanced Predictive Modeling Using SAS® Enterprise Miner™
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      ENROLL

    • COURSE

      Optimization Concepts for Data Science
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      ENROLL

    • COURSE

      Survival Data Mining: A Programming Approach
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    • COURSE

      Decision Tree Modeling
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      ENROLL

    SAS Products Covered

    • SAS Enterprise Miner
    • SAS/STAT
    • SAS/IML
    • Base SAS
    • SAS Model Manager
    • SAS Text Miner
    • SAS Visual Statistics
    • SAS Visual Analytics
    • SAS/OR


    Digital Badges

    Earn a digital badge for each course that you complete and for each credential that you earn. Show off your achievements on your resume and in your social channels to highlight your skills and connect with potential employers.

    “I think the self-paced training was the BEST I’ve ever taken. The videos were short and segmented correctly to keep my attention and the activities and quizzes were just enough to help my confidence.”

    Tony Mayo, SAS Customer