Data Analysis and Visualization Techniques

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Data Analysis and Visualization Techniques

Instructor: TSV Learning

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3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Create and customize statistical graphs using SAS procedures, including PROC SGPLOT and PROC UNIVARIATE.
Analyze data distributions, trends, outliers, and variable relationships using statistical plots and regression visualizations.
Develop multivariable visualizations and enhance statistical reports using PROC SGSCATTER, PROC SGPANEL, and ODS Graphics.

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Tools you'll learn

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There are 3 modules in this course

Learn to analyze data and create clear, informative statistical visualizations using SAS. Designed for learners who want to explore data distributions, trends, and relationships, this course helps you turn numerical and categorical data into meaningful graphical insights.

Start with SAS graphics fundamentals and use PROC SGPLOT and PROC UNIVARIATE to create histograms, bar charts, box plots, and Q-Q plots. Learn to identify variability, outliers, and distribution patterns, then explore series plots, scatter plots, regression lines, and polynomial curves to assess linear and nonlinear relationships. Build multivariable views with PROC SGSCATTER and PROC SGPANEL, including scatter plot matrices and panel graphs. Enhance your results with INSET and REFLINE statements, analyze categorical frequencies with PROC FREQ, and customize statistical and diagnostic output through ODS Graphics. The course stands out for its step-by-step progression from foundational graphing to advanced plotting and graphical customization. By the end, you'll be able to create and interpret SAS visualizations and communicate statistical findings more effectively.

This module introduces the fundamentals of SAS Graph and Data Visualization, focusing on creating, customizing, and interpreting statistical graphs using SAS. Learners explore essential SAS graphical procedures, including PROC SGPLOT and PROC UNIVARIATE, to generate histograms, bar charts, box plots, and distribution visualizations. The module also covers graphical customization, data distribution analysis, and techniques for presenting statistical information effectively.

What's included

6 videos4 assignments

6 videosTotal 46 minutes

Introduction to SAS GRAPH Training8 minutes
Producing and Customizing Different Types Graphs7 minutes
Proc SGPlot11 minutes
Discuss Histogram7 minutes
Plot Using Proc Sgplot7 minutes
Box Plot Using SGplot6 minutes

4 assignmentsTotal 60 minutes

Getting Started with SAS Graphics10 minutes
Creating Visualizations with PROC SGPLOT10 minutes
Visualizing Distributions with SGPLOT10 minutes
Foundations of SAS Graphing and SGPLOT30 minutes

This module explores advanced SAS data visualization techniques for examining trends, relationships, and patterns across multiple variables. Learners develop skills in creating series plots, scatter plots, regression lines, and polynomial regression curves using PROC SGPLOT. The module introduces PROC SGSCATTER and PROC SGPANEL for visualizing multivariable relationships and generating comparative panel graphs. Emphasis is placed on interpreting statistical relationships, evaluating nonlinear patterns, and presenting complex datasets through effective graphical analysis.

What's included

6 videos4 assignments

6 videosTotal 35 minutes

Series Plot5 minutes
Scatter Plot Using SGplot4 minutes
Regression Line5 minutes
Explore Polynomial Between Variable5 minutes
Proc SG Scatter8 minutes
Proc SG Panel9 minutes

4 assignmentsTotal 60 minutes

Trends and Relationships in Data10 minutes
Regression and Polynomial Relationships10 minutes
Multi-Variable and Panel Visualizations10 minutes
Exploring Relationships and Advanced Plotting30 minutes

This module focuses on enhancing statistical visualizations and managing graphical output using advanced SAS graphics features. Learners explore the INSET and REFLINE statements to incorporate summary statistics, annotations, and reference lines into graphs. The module also introduces frequency plots and the SAS Output Delivery System (ODS) Graphics framework for generating statistical and diagnostic visualizations. Learners examine ODS Graphics statements and customization techniques to produce clear, informative, and professional statistical reports.

What's included

6 videos4 assignments

6 videosTotal 39 minutes

Produce Summary Statistic Using INSET Statement6 minutes
Refline Statement5 minutes
Freq Plot7 minutes
ODS Graphics11 minutes
ODS Graphics Continues8 minutes
ODS Graphics Statement2 minutes

4 assignmentsTotal 60 minutes

Adding Statistical Insights and Reference Lines10 minutes
Frequency Analysis and ODS Graphics10 minutes
Customizing Graphics with ODS10 minutes
Enhancing and Managing SAS Graphics30 minutes

Instructor

TSV Learning

The Skill Valley

172 Courses1,542 learners

Offered by

The Skill Valley

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