About this Course

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Approx. 18 hours to complete
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 18 hours to complete
English

Offered by

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SAS

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Course Overview

1 hour to complete
1 video (Total 1 min), 4 readings, 1 quiz
1 video
4 readings
Learner Prerequisites1m
Using SAS® Viya® for Learners with This Course (Required)10m
Course Information (Required)10m
Using Forums and Getting Help5m
2 hours to complete

SAS® Viya® and Open Source Integration

2 hours to complete
10 videos (Total 55 min)
10 videos
Cloud Analytic Services2m
Jupyter Notebooks and Open Source Development Interfaces2m
SAS Scripting Wrapper for Analytics Transfer2m
CAS Actions in SAS Viya2m
Connecting to CAS and Reading in Data1m
DataFrames and CAS Tables on the Clients and Server2m
Advantages to Open Source Integration2m
Demo: Getting Started with CAS and the R API18m
Demo: Getting Started with CAS and the Python API18m
5 practice exercises
Question 2.0110m
Question 2.0210m
Question 2.0310m
Question 2.0410m
SAS® Viya® and Open Source Integration Quiz30m
Week
2

Week 2

4 hours to complete

Machine Learning

4 hours to complete
15 videos (Total 107 min)
15 videos
Data Partitioning: Preventing Overfitting2m
Logistic Regression Models3m
Support Vector Machines2m
Decision Trees2m
Ensemble of Trees2m
Neural Network Models3m
Autotuning Hyperparameters1m
Model Performance Assessment2m
Model Performance Charts: ROC and Lift2m
Demo: Using the R API to Create and Assess Models26m
Demo: Using the Python API to Create and Assess Models25m
Demo: Creating a Gradient Boosting Model in SAS Studio7m
Demo: Using R Functions and Looping for Efficient Coding11m
Demo: Using Python Functions and Looping for Efficient Coding11m
4 practice exercises
Question 3.0110m
Question 3.0210m
Question 3.0310m
Machine Learning Quiz30m
Week
3

Week 3

2 hours to complete

Text Analytics

2 hours to complete
9 videos (Total 48 min)
9 videos
Natural and Formal Languages1m
Processing Words1m
Processing Context2m
Processing Concepts1m
Extracting Information from the Term-Document Matrix3m
Word Embedding3m
Demo: Using the R API to Explore Text Documents15m
Demo: Using the Python API to Explore Text Documents15m
3 practice exercises
Question 4.0110m
Question 4.0210m
Text Analytics Quiz30m
3 hours to complete

Deep Learning

3 hours to complete
13 videos (Total 67 min)
13 videos
Hidden Unit Activation Functions2m
Weight Initialization1m
Regularization Methods3m
Nonlinear Optimization Algorithms (or Gradient-Based Learning)3m
Processors for Analytics1m
Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN)2m
Recurrent Neural Network Architecture1m
Improving RNN Models1m
Gated Recurrent Unit (GRU)2m
Long Short-Term Memory (LSTM)2m
Demo: Deep Learning Sentiment Prediction Using the R API21m
Demo: Deep Learning Sentiment Prediction Using the Python API21m
3 practice exercises
Question 5.0110m
Question 5.0210m
Deep Learning Quiz30m
Week
4

Week 4

3 hours to complete

Time Series

3 hours to complete
11 videos (Total 63 min)
11 videos
Model Performance and Assessment2m
Weighted Averages1m
Simple Exponential Smoothing2m
ARIMAX Models and Stationarity1m
Autoregressive and Moving Average Terms2m
Forecasting with Recurrent Neural Networks43s
Demo: Automatic Forecasting Using the R API8m
Demo: Automatic Forecasting Using the Python API8m
Demo: Deep Learning Forecasting Using the R API16m
Demo: Deep Learning Forecasting Using the Python API16m
4 practice exercises
Question 6.0110m
Question 6.0210m
Question 6.0310m
Time Series Quiz30m
2 hours to complete

Image Classification

2 hours to complete
7 videos (Total 43 min)
7 videos
Convolutional Neural Networks for Image Classification1m
Convolution Layers3m
Pooling Layers1m
Fully Connected and Output Layers59s
Demo: Classifying Color Images Using the R API16m
Demo: Classifying Color Images Using the Python API16m
2 practice exercises
Question 7.0110m
Image Classification Quiz30m
2 hours to complete

Factorization Machines

2 hours to complete
4 videos (Total 29 min)
4 videos
Factorization Machines for Recommendation3m
Demo: Modeling Sparse Data Using the R API11m
Demo: Modeling Sparse Data Using the Python API11m
2 practice exercises
Question 8.0110m
Factorization Machines Quiz30m

Frequently Asked Questions

More questions? Visit the Learner Help Center.