Coursera

Performing Network, Path, and Text Analyses in SAS Visual Analytics (Coursera)

Offered by SAS,
Performing Network, Path, and Text Analyses in SAS Visual Analytics (Coursera)

In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics. What tou will learn: To describe the data structure needed for network analysis, path analysis, and text analytics; How to create network analysis to analyze relationship between entities in SAS Visual Analytics; How to create path analysis to understand frequent paths in SAS Visual Analytics; How to create text analytics to analyze unstructured text in SAS Visual Analytics.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Course 4 of 5 in the SAS Visual Business Analytics Professional Certificate

Syllabus

WEEK 1
Course Overview
In this module, you learn about the business scenario that you will follow for this course and where the files are located in SAS Viya for Learners.
Performing Network Analysis
In this module, you learn more about network analysis in Visual Analytics.
Performing Path Analysis
In this module, you learn more about path analysis in Visual Analytics.
Performing Text Analytics
In this module, you learn more about text analytics in Visual Analytics.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Redes Ecológicas (Coursera) Coursera
Universidade de São Paulo, Brasil

Redes Ecológicas (Coursera)

Statistics & Data Analysis Data Science

Todos os seres vivos estão conectados entre si por interações ecológicas, formando a “colina emaranhada” de Darwin, metáfora inspirada pela “teia da vida” de Humboldt. Desemaranhar essa complexidade é uma tarefa desafiadora, mas factível, desde que você use ferramentas adequadas. A ciência de redes nos ajuda com excelentes ferramentas conceituais e operacionais.

Nov 9th 2026
4 Weeks
Networks Data Analysis Network Analysis
Details
Introduction to Effective Network Analysis (FutureLearn) FutureLearn
EC-Council

Introduction to Effective Network Analysis (FutureLearn)

CS: Information & Technology

Learn network monitoring and analysis to ensure security and guard against social network cybercrime. Protect your organisation with effective network security. As cybercrime continues to grow, analysis of social networks has become a powerful tool in criminology and criminal investigations. This four-week course will give you a comprehensive introduction to network analysis and security, allowing you to provide effective digital security to your organisation.

Mar 21st 2022
3 Weeks
Security Cybercrime Social Networks
Details
Data Analysis: Statistical Modeling and Computation in Applications (edX) EdX
MIT,MITx

Data Analysis: Statistical Modeling and Computation in Applications (edX)

Statistics & Data Analysis

A hands-on introduction to the interplay between statistics and computation for the analysis of real data. -- Part of the MITx MicroMasters program in Statistics and Data Science. Data science requires multi-disciplinary skills ranging from mathematics, statistics, machine learning, problem solving to programming, visualization, and communication skills. In this course, learners will combine these foundational and practical skills with domain knowledge to ask and answer questions using real data.

May 13th 2024
13-24 Weeks
Machine Learning Applications Computation
Details
Quantitative Methods (Coursera) Coursera
University of Amsterdam

Quantitative Methods (Coursera)

Engineering Statistics & Data Analysis

Discover the principles of solid scientific methods in the behavioral and social sciences. Join us and learn to separate sloppy science from solid research! This course will cover the fundamental principles of science, some history and philosophy of science, research designs, measurement, sampling and ethics. The course is comparable to a university level introductory course on quantitative research methods in the social sciences, but has a strong focus on research integrity. We will use examples from sociology, political sciences, educational sciences, communication sciences and psychology.

Nov 9th 2026
5-12 Weeks
Ethics Research Methods Social Sciences
Details
Social and Economic Networks: Models and Analysis (Coursera) Coursera
Stanford University

Social and Economic Networks: Models and Analysis (Coursera)

Economics & Finance Social Sciences

Learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they exhibit certain patterns, and how does their structure impact diffusion, learning, and other behaviors? We will bring together models and techniques from economics, sociology, math, physics, statistics and computer science to answer these questions.

Oct 26th 2026
5-12 Weeks
Social Networks Economics
Details
Análisis de Sistemas de Transporte (Coursera) Coursera
Pontificia Universidad Católica de Chile

Análisis de Sistemas de Transporte (Coursera)

Engineering Sci: Environment

Este curso es una introducción a las metodologías fundamentales para la gestión, planificación y evaluación de sistemas de transporte de pasajeros. Se aprenderán técnicas usadas en la práctica para estimar la demanda, modelar la operación y realizar análisis económicos de proyectos de transporte.

Nov 2nd 2026
5-12 Weeks
Planning Management Transportation
Details
Interprofessional Healthcare Informatics (Coursera) Coursera
University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Statistics & Data Analysis Data Science

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Nov 9th 2026
5-12 Weeks
Healthcare Informatics Telehealth
Details
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera) Coursera
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center (Coursera)

Health & Society Science

In this course we briefly introduce the DCIC and the various Centers that collect data for LINCS. We then cover metadata and how metadata is linked to ontologies. We then present data processing and normalization methods to clean and harmonize LINCS data. This follow discussions about how data is served as RESTful APIs. Most importantly, the course covers computational methods including: data clustering, gene-set enrichment analysis, interactive data visualization, and supervised learning. Finally, we introduce crowdsourcing/citizen-science projects where students can work together in teams to extract expression signatures from public databases and then query such collections of signatures against LINCS data for predicting small molecules as potential therapeutics.

Oct 19th 2026
5-12 Weeks
Network Analysis Big Data
Details