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Syllabus

EN IT

Prerequisites

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Program

- Topic 1 Introduction to Big Data and Data preparation
- Topic 2 Data Exploration; Association; Linear and nonlinear regression Topic 3 Introduction to SAS Viya and Visual Analytics interface.
- Topic 4 Loading, investigating and preparing data with SAS Visual Analytics.
- Topic 5 Data analysis with Visual Analytics (descriptive statistics, distributions, correlations, linear regression).
- Topic 6 Designing interactive reports with Visual Analytics: prompts, actions, rules and ranks.

Books

• SAS Visual Analytics 1 for SAS Viya: Basics –PDF
• E-learning - SAS Visual Analytics 1 for SAS Viya: Basics

Bibliography

• SAS Visual Analytics 1 for SAS Viya: Basics –PDF
• E-learning - SAS Visual Analytics 1 for SAS Viya: Basics

Teaching methods

Classroom teaching: a SAS expert will describe the main topics of the course and will answer students’questions.
E-learning: a collection of videos, demos, and practices, that summarize the concepts shown in classroom.
Case studies: in which students can practice with the supervision of the teacher.

Exam Rules

Case Study evaluation. This mid-term exam consists in a practice exercise in which group of students will test their SAS Visual Analytics knowledge by using the software.
The case study will be provided to every group and it will require to solve different tasks related to the topics learned during the course; the results will be presented to a SAS expert to be assessed.
The score obtained in this mid-term exam will be added to the final exam grade.