About this Course
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100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English
User
Learners taking this Course are
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Professors
  • Software Engineers
User
Learners taking this Course are
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Professors
  • Software Engineers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

Suggested: 9 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Course Overview

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

10 videos (Total 55 min), 6 quizzes
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
4 hours to complete

Machine Learning

15 videos (Total 107 min), 8 quizzes
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
2 hours to complete

Text Analytics

9 videos (Total 48 min), 5 quizzes
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

13 videos (Total 67 min), 5 quizzes
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
3 hours to complete

Time Series

11 videos (Total 63 min), 6 quizzes
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

7 videos (Total 43 min), 4 quizzes
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

4 videos (Total 29 min), 4 quizzes
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

Instructors

Avatar

Jordan Bakerman

Analytical Training Consultant
Education

Ari Zitin

Analytical Training Consultant
SAS Education

About SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.