
English | Size: 2.22 GB
Genre: eLearning
What you’ll learn
Skills needed to pass SAS Certified Specialist: Base Programming exam
Apply basic to advanced SAS skills.
Understand how to import data, merge data, filter your observations, clean your data, use conditional logic, and much more!
Apply SAS functions (RAND, LENGTH,TRIM, COMPRESS, and more).
Apply Arrays in situations where it makes sense, to make your life easier
Be able to show your data visually (ie graphs).
Be able to do statistical analysis (t-tests, chi square, linear regression, multiple regression)
Apply SQL syntax (like SELECT, WHERE, HAVING, GROUP BY, ORDER BY) (SAS SQL)
Join tables (Inner join, left/right join, joining three tables, and full join)(SAS SQL)
Managing tables (from how to create one, to how to alter columns, add rows)(SAS SQL)
How to apply SQL to compare tables, find duplicate records, create conditions + more(SAS SQL)
Be able to decipher if indices should be applied in your particular context (Indices)
Improve speed/performance when sub-setting data with Indices (Indices)
Create the two types of indices and utilize the index options (Indices)
Select the right variables for your Index (Indices)
Perform common tasks on Indexed data sets and understand the ramifications (Indices)
Update your indexed master data set with the latest transactions (Indices)
Create macro variables to help you with lengthy code and cut down on errors (Macro Facility)
Create Macro programs to reduce repetitive coding, and save time and money.(Macro Facility)
Save time by understanding macro assignment rules before you create your first macro(Macro Facility)
Apply macro functions to manipulate character strings(Macro Facility)
Debug problems when they occur(Macro Facility)
Understand the challenges of analytics. (Predictive Modeling)
Gain an intuitive understanding of Logistic Regression. (Predictive Modeling)
Perform a data audit. (Predictive Modeling)
Perform a Uni-variate and Bi-variate analysis of features/variables. (Predictive Modeling)
Deal with Missing Data. (Multiple Imputation). (Predictive Modeling)
Adjustments for Oversampling. (Predictive Modeling)
Dimension Reduction for your Categorical Inputs. (Predictive Modeling)
Subset selection (utilizing automatic techniques for variable/feature selection).(Predictive Modeling)
Analyze Multicollinearity in your Features.(Predictive Modeling)
Analyze Classifier Performance (ROC curves, Optimal cutoffs, K-S).(Predictive Modeling)
Partition your Data, Train a Model, and Make Predictions on Unseen Data.(Predictive Modeling)
Who this course is for:
Individuals looking to become a SAS Certified Specialist: Base Programming
If you are using SAS Enterprise Guide, and you want to learn how to actually program instead of using the point and click interface, this course is ideal!
Individuals who are interested in SAS Analytics, especially Predictive Analytics.
Individuals that are considering a career, or want to gain employment, with the biggest corporations/enterprises out there!
Those new to SAS syntax and or students looking for a refresher. No prior programming knowledge is required.
Those who want to know how to use the most important data analysis software/language out there!
Students who are interested in developing their SAS SQL/PROC SQL skills
Individuals who work with large data sets and deal with performance problems
Individuals who perform many repetitive programming tasks or deal with lengthy code


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