Live Course Module: SAS Course for Data Analytics
Total Duration: 24 Hours (4 Weeks)
Week 1: Introduction to SAS and Data Handling (6 Hours)
-
Overview of SAS and its importance in Data Analytics
-
Exploring SAS interface: SAS Studio & SAS Enterprise Guide
-
Understanding SAS libraries and dataset structure
-
Importing and exporting data (CSV, Excel, text files)
-
Understanding Data Step and Proc Step
-
Working with variables, data types, and formats
Week 2: Data Manipulation and Exploration (6 Hours)
-
Reading and writing datasets from multiple sources
-
Data cleaning and transformation using SAS procedures
-
Using conditional statements (IF-THEN, ELSE, DO loops)
-
Sorting, merging, and concatenating datasets
-
Handling missing values and outliers
-
Performing basic Exploratory Data Analysis (EDA) with PROC MEANS, PROC FREQ, PROC UNIVARIATE
Week 3: Statistical Analysis and Data Visualization (6 Hours)
-
Descriptive statistics – mean, median, mode, standard deviation
-
Inferential statistics – t-Test, ANOVA, correlation, and chi-square
-
Regression analysis – linear and logistic regression
-
Data visualization using PROC SGPLOT and PROC GPLOT
-
Creating frequency tables and summary reports
-
Exporting analytical results and graphs
Week 4: Advanced Analytics and Project Implementation (6 Hours)
-
Introduction to predictive modeling in SAS
-
Using SAS Macros for automation
-
Advanced data manipulation techniques (ARRAY, RETAIN, MERGE JOIN)
-
Case Study: Real-world data analytics project using SAS
-
Preparing dashboards and performance reports
-
Final review, Q&A, and certification assessment
🎯 Learning Outcomes
By the end of this course, learners will be able to:
-
Understand the SAS environment and its application in analytics.
-
Clean, manipulate, and explore large datasets using SAS procedures.
-
Perform statistical analysis and visualize results effectively.
-
Build and interpret predictive models using SAS tools.
-
Apply end-to-end data analytics workflows on real-world datasets.
🧰 Tools & Resources
-
Software: SAS Studio / SAS OnDemand for Academics
-
Datasets: Real-world case datasets (Finance, Healthcare, Retail)
-
Assessment: Mini-projects, Quizzes, and Final Case Study
🧑🏫 Recommended Schedule
-
Session 1–6: Fundamentals & Data Operations
-
Session 7–12: Statistics, Visualization & Project
Reviews
There are no reviews yet.