Data Science - introduction The era of abundance Big Data explained Data analysis overview
Statistics - introduction Examining data distributions Obtaining and interpreting sample statistics Examining data distributions graphically Using exploratory data analysis Producing correlations Fitting a simple linear regression model
II. PREPARING FOR ANALYSIS
Getting started with Visual Analytics Exploring SAS Visual Analytics concepts Using the SAS Visual Analytics home page Discussing the course environment and scenario
Using Visual Analytics Explorer Examining SAS Visual Analytics Explorer Selecting data and defining data item properties Creating visualizations Enhancing visualizations with analytics Interacting with visualizations and explorations
Examining Visual Data Builder Exploring SAS Visual Data Builder Creating simple queries
Creating complex queries in Visual Data Builder Importing data using SAS Visual Data Builder Creating calculated columns and filtering data Creating advanced queries
Advanced topics for Visual Data Builder Accessing user-defined formats
Using the Explorer and Designer to load data Using the Explorer and Designer to import data Using the Explorer and Designer to create calculated columns
III. ANALYTICAL DATA VISUALIZATION AND MODELING DATA
Cluster segmentation Understanding segmentation Using cluster analysis
Models with continuous targets Managing projects and models Using linear regression models Using generalized linear models
Models with categorical targets Using logistic regression Using decision trees
Model comparison and assessment Comparing models Scoring models
CASE STUDY
You will be able to put your knowledge into practice with real-world, scenario-based examples.
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The era of abundance
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