Free Data Visualization Tutorial - Practical SAS Visual Analytics

This Udemy course, titled "Practical SAS Visual Analytics," is designed to teach students how to effectively visualize data using SAS Visual Analytics, a leading software in the graphical analytics market. Below is a detailed summary of the course:

Course Overview

* Instructor: Joseph Adams [https://www.udemy.com/user/jose-alberto-ramirez-peraza/]

* Language: English (with auto-generated subtitles)

* Duration: 1 hour and 4 minutes of on-demand video

* Rating: 4.0/5 (based on 428 ratings)

* Students Enrolled: 9,463

* Cost: Free

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What You’ll Learn

By the end of this course, students will be able to:

* Identify and fit trends in time forecasting charts.

* Graphically validate classification machine learning models.

* Visualize data effectively using SAS Visual Analytics.

* Interpret data through various charts and develop trending skills in data analytics.

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Course Requirements

* Prerequisites: A basic background in statistics and familiarity with charts is recommended.

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Course Description

The course focuses on practical examples of data visualization using SAS Visual Analytics, which is hosted on SAS Viya. Key points include:

* No Installation Required: The software can be accessed through a web browser without installation or configuration.

* Cloud-Based: SAS Visual Analytics operates on cloud servers, allowing independent learners to access it for free since May 2019.

* Practical Approach: The course emphasizes practical discussions on creating statistical charts rather than theoretical statistical backgrounds.

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Who Should Take This Course?

* Individuals with previous experience in data analysis.

* Students interested in learning SAS Visual Analytics.

* Those with prior experience in data visualization looking to enhance their skills.

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How to Enroll

To join the course, visit the Udemy page: Practical SAS Visual Analytics [https://www.udemy.com/course/practical-sas-visual-analytics/]

This course is an excellent opportunity for anyone looking to improve their data visualization skills using SAS Visual Analytics.

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