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SAS Programming Complete; Learn SAS and Become a Data Ninja
Created by Ermin Dedic | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 10:47 H/M | Lec: 144 | 2.37 GB | Language: English | Sub: English [Auto-generated]

Apply basic to advanced SAS skills.


Everything needed to become a SAS Certified Specialist: Base Programming

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)
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*This course uses a commercial license from WPS. Anyone interested in full information, visit our disclaimer at the bottom. Thank you!*

SAS Programming Complete has complete coverage of concepts allowing you to prepare and pass for SAS Certification. It will allow you to prepare for and pass SAS Certified Specialist: Base Programming exam. If you are using SAS Enterprise Guide, and you want to learn how to code/program instead of using the point and click interface, this course is ideal!
The first part of the course utilizes the Data step, 2nd part looks at SAS SQL, (PROC SQL STEP), the third part looks at the Macro Facility. As an addition, I have added a section on SAS Predictive Modeling using Logistic Regression. Each section has Assignments to test your understanding! I believe in learning SAS by example.
SAS programming is the language of choice of many enterprises/corporations.
As mentioned, my SAS training course is developed to to help you become a SAS Certified Specialist: Base Programming. The course also covers some elements of the SAS Certified Professional: Advanced Programming. I have recieved many private messages from students who have passed these exams, or work-related exams or interviews because of this course. I love reading these messages, especially when students tell me that they couldn't have done it without this course.
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