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Using SAS Viya REST APIs with Python and R
  • Level Foundation
  • Duration 18 hours
  • Course by SAS
  • Offered by

About

SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. And once SAS Viya has done the heavy lifting, you’ll be able to download data to the client and use native open source syntax to compare results and create graphics.

Modules

Course Overview

    • 1 Videos
    • 1 Readings
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1 Videos

  • Course Overview

1 Readings

  • Learner Prerequisites

Course Logistics

    • 2 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Access SAS Viya for Learners

2 Readings

  • Course Logistics and Setup Information (Required)
  • Using Forums and Getting Help

SAS Viya and Cloud Analytic Services (CAS)

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Question - CAS Server

2 Videos

  • SAS Approach to Open Source Integration
  • Cloud Analytic Services

Open Source Development Interfaces

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Question - Jupyter Notebooks

1 Videos

  • Jupyter Notebooks and Open Source Development Interfaces

Scripting Wrapper for Analytics Transfer (SWAT)

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Questions - SWAT and CAS Processing

2 Videos

  • SAS Scripting Wrapper for Analytics Transfer
  • CAS Actions in SAS Viya

Fundamentals of the R and Python APIs

    • 5 Videos
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Questions - Fundamentals

1 External Tool

  • Practice - Exploring the Bank Promotion Data Set Using CAS

5 Videos

  • Connecting to CAS and Reading in Data
  • DataFrames and CAS Tables on the Clients and Server
  • Advantages to Open Source Integration
  • Demo: Getting Started with CAS and the R API
  • Demo: Getting Started with CAS and the Python API

Review

    • 1 Assignment
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1 Assignment

  • SAS® Viya® and Open Source Integration Quiz

SAS Viya for Learners

    • 1 ExternalTool
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1 External Tool

  • Access SAS Viya for Learners for Demos and Practices

Predictive Modeling

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Predictive Modeling

2 Videos

  • Introduction to Predictive Modeling
  • Data Partitioning: Preventing Overfitting

Predictive Models

    • 6 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Predictive Models

6 Videos

  • Logistic Regression Models
  • Support Vector Machines
  • Decision Trees
  • Ensemble of Trees
  • Neural Network Models
  • Autotuning Hyperparameters

Model Assessment

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Model Assessment

2 Videos

  • Model Performance Assessment
  • Model Performance Charts: ROC and Lift

Creating, Scoring, and Assessing Predictive Models with the R/Python API

    • 5 Videos
    • 2 ExternalTool
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2 External Tool

  • Practice - Creating, Scoring, and Assessing Tree-Based Models
  • Practice - Efficient Coding with Functions and Loops

5 Videos

  • Demo: Using the R API to Create, Score, and Assess Models
  • Demo: Using the Python API to Create, Score, and Assess Models
  • Demo: Creating a Gradient Boosting Model in SAS Studio
  • Demo: Using R Functions and Loops for Efficient Coding
  • Demo: Using Python Functions and Loops for Efficient Coding

Review

    • 1 Assignment
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1 Assignment

  • Machine Learning Quiz

SAS Viya for Learners

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Access SAS Viya for Learners for Demos and Practices

Introduction to Text Analytics

    • 1 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Text Analytics Fundamentals

1 Videos

  • Text Analytics

Natural Language Processing

    • 8 Videos
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Questions - Natural Language Processing

1 External Tool

  • Practice - Exploring Movie Description Text Documents

8 Videos

  • Natural and Formal Languages
  • Processing Words
  • Processing Context
  • Processing Concepts
  • Extracting Information from the Term-Document Matrix
  • Word Embedding
  • Demo: Using the R API to Explore Text Documents
  • Demo: Using the Python API to Explore Text Documents

Review

    • 1 Assignment
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1 Assignment

  • Text Analytics Quiz

SAS Viya for Learners

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Access SAS Viya for Learners for Demos and Practices

Traditional Neural Networks versus Deep Learning

    • 6 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Traditional Neural Networks vs Deep Learning

6 Videos

  • Traditional Neural Networks
  • Hidden Unit Activation Functions
  • Weight Initialization
  • Regularization Methods
  • Nonlinear Optimization Algorithms (or Gradient-Based Learning)
  • Processors for Analytics

Recurrent Neural Networks

    • 7 Videos
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Questions - Recurrent Neural Networks

1 External Tool

  • Practice - Using Deep Learning to Classify Profitable Movies

7 Videos

  • Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN)
  • Recurrent Neural Network Architecture
  • Improving RNN Models
  • Gated Recurrent Unit (GRU)
  • Long Short-Term Memory (LSTM)
  • Demo: Deep Learning Sentiment Prediction Using the R API
  • Demo: Deep Learning Sentiment Prediction Using the Python API

Review

    • 1 Assignment
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1 Assignment

  • Deep Learning Quiz

SAS Viya for Learners

    • 1 ExternalTool
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1 External Tool

  • Access SAS Viya for Learners for Dem

Time Series Modeling and Forecasting

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Questions Time Series Modeling and Forecasting

2 Videos

  • Time Series Forecasting
  • Model Performance and Assessment

Exponential Smoothing Models

    • 2 Videos
    • 1 Assignment
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1 Assignment

  • Questions - Exponential Smoothing Parameters

2 Videos

  • Weighted Averages
  • Simple Exponential Smoothing

ARIMAX Models

    • 3 Videos
    • 1 Assignment
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1 Assignment

  • Questions - ARIMAX Models and Stationary Time Series

3 Videos

  • ARIMAX Models and Stationarity
  • Autoregressive and Moving Average Terms
  • Forecasting with Recurrent Neural Networks

Creating Forecasting Models Using the R/Python API

    • 4 Videos
    • 1 ExternalTool
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1 External Tool

  • Practice - Building a Long Short-Term Memory Recurrent Neural Network

4 Videos

  • Demo: Automatic Forecasting Using the R API
  • Demo: Automatic Forecasting Using the Python API
  • Demo: Deep Learning Forecasting Using the R API
  • Demo: Deep Learning Forecasting Using the Python API

Review

    • 1 Assignment
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1 Assignment

  • Time Series Quiz

SAS Viya for Learners

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Access SAS Viya for Learners for Demos and Practices

Deep Learning Image Classification

    • 7 Videos
    • 1 ExternalTool
    • 1 Assignment
Show info about module content

1 Assignment

  • Questions Deep Learning Image Classification

1 External Tool

  • Practice - Classifying Clothing Images Using a Convolutional Neural Network

7 Videos

  • Image Classification and Object Detection
  • Convolutional Neural Networks for Image Classification
  • Convolution Layers
  • Pooling Layers
  • Fully Connected and Output Layers
  • Demo: Classifying Color Images Using the R API
  • Demo: Classifying Color Images Using the Python API

Review

    • 1 Assignment
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1 Assignment

  • Image Classification Quiz

SAS Viya for Learners

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Access SAS Viya for Learners for Demos and Practices

Modeling Interactions in Factorization Machines

    • 4 Videos
    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Questions - Modeling Interactions in Factorization Machines

1 External Tool

  • Practice - Modeling Sparse Ratings Using Factorization Machines

4 Videos

  • Recommender Systems
  • Factorization Machines for Recommendation
  • Demo: Modeling Sparse Data Using the R API
  • Demo: Modeling Sparse Data Using the Python API

Review

    • 1 Assignment
Show info about module content

1 Assignment

  • Factorization Machines Quiz

Auto Summary

Unlock the power of SAS Viya for big data analytics with this foundational course. Learn to use SAS Viya REST APIs to control SAS Cloud Analytic Services directly from Jupyter Notebooks using Python or R. Master data upload, analysis, and predictive modeling, leveraging the SWAT package for seamless integration. Dive into machine learning and deep learning models to solve complex problems. Ideal for data science enthusiasts, the course spans 1080 minutes and is available through Coursera with Starter and Professional subscription options. Join now to enhance your data science skills!

Jordan Bakerman
Instructors

Jordan Bakerman

Ari Zitin
Instructors

Ari Zitin