Master Data Analysis Using SAS Programming
Master SAS programming from basics to advanced analytics. Learn data management, SQL, predictive modeling, and prepare for SAS certification.
Master SAS programming from basics to advanced analytics. Learn data management, SQL, predictive modeling, and prepare for SAS certification.
This comprehensive course transforms beginners into proficient SAS programmers through practical, hands-on training. Starting with environment setup and basic data importing, students progress to advanced topics including SQL, predictive modeling, and macro programming. The curriculum covers essential skills like data manipulation, statistical analysis, and visualization. Real-world case studies and exercises reinforce learning, while advanced modules explore predictive modeling and evaluation metrics. The course emphasizes practical application and includes preparation for SAS certification, making it ideal for aspiring data analysts and professionals seeking to enhance their analytical capabilities.
Instructors:
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What you'll learn
Master SAS syntax and programming fundamentals
Understand data step and proc step operations
Develop proficiency in SAS SQL and data manipulation
Learn statistical analysis and regression techniques
Master predictive modeling and evaluation metrics
Gain expertise in macro programming
Skills you'll gain
This course includes:
602 Minutes PreRecorded video
9 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 24 modules in this course
This comprehensive SAS programming course covers everything from basic data management to advanced analytics. Starting with SAS environment setup, students learn data importing, manipulation, and analysis techniques. The curriculum progresses through statistical analysis, SQL fundamentals, and advanced topics like macro programming and predictive modeling. Key components include hands-on practice with real-world datasets, case studies in healthcare analytics, and preparation for SAS certification. Students master essential skills including data cleaning, variable manipulation, statistical testing, and predictive model development.
Introduction to the Course
Module 1 · 37 Minutes to complete
Importing
Module 2 · 17 Minutes to complete
SAS Syntax, Data Step Versus Proc Step, SAS Compared to R/Python
Module 3 · 34 Minutes to complete
Working with Data
Module 4 · 1 Hours to complete
Back to Importing
Module 5 · 3 Minutes to complete
Input Types and Informats + User-Defined Formats
Module 6 · 37 Minutes to complete
Arrays
Module 7 · 12 Minutes to complete
SAS Functions
Module 8 · 55 Minutes to complete
Advanced Techniques - Flexibilities and Efficiency
Module 9 · 25 Minutes to complete
Visual Representation of Data
Module 10 · 7 Minutes to complete
Statistical Analysis
Module 11 · 19 Minutes to complete
Statistical Analysis - Part 2
Module 12 · 26 Minutes to complete
Case Studies
Module 13 · 23 Minutes to complete
SQL Fundamentals
Module 14 · 27 Minutes to complete
SAS SQL and Joining
Module 15 · 37 Minutes to complete
Working with Tables Using SAS SQL
Module 16 · 17 Minutes to complete
Practical Application of SAS SQL
Module 17 · 14 Minutes to complete
Fundamentals of Utilizing SAS Indexes
Module 18 · 52 Minutes to complete
Macro Facility Fundamentals
Module 19 · 1 Hours to complete
Introduction to SAS Predictive Modeling
Module 20 · 17 Minutes to complete
SAS Model - Understanding the Problem
Module 21 · 57 Minutes to complete
SAS Predictive Modeling, Prepare the Input Variables
Module 22 · 1 Hours to complete
SAS Predictive Modeling, Evaluation Metrics
Module 23 · 35 Minutes to complete
Extra Content
Module 24 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Enhancing IT Education Through Expert-Led Learning
Packt Course Instructors are dedicated to delivering high-quality educational content across a wide range of IT topics, offering over 5,000 eBooks and courses designed to improve student outcomes in technology-related fields. With a focus on practical knowledge, instructors leverage their industry expertise to create engaging learning experiences that help students grasp complex concepts and apply them effectively. The courses cover diverse subjects, from programming languages to advanced data analysis, ensuring that learners at all levels can find relevant resources to enhance their skills. Additionally, Packt emphasizes personalized learning paths and provides analytics tools for educators to monitor student engagement and success, making it a valuable partner in academic settings.
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