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Live Online SAS Course for Data Analytics

Original price was: ₹45,000.00.Current price is: ₹35,000.00.

Duration: 4 Weeks | Total Time: 24 Hours

Format: Live online sessions using Google meet or MS Teams with hands-on coding, mini-projects, and a capstone project by an industry expert.
Target Audience: College Students, Professionals in Finance, HR, Marketing, Operations, Analysts, and Entrepreneurs
Tools Required: Laptop with internet
Trainer: Industry professional with hands on expertise

Live Course Module: SAS Course for Data Analytics

Total Duration: 24 Hours (4 Weeks)


Week 1: Introduction to SAS and Data Handling (6 Hours)

  1. Overview of SAS and its importance in Data Analytics

  2. Exploring SAS interface: SAS Studio & SAS Enterprise Guide

  3. Understanding SAS libraries and dataset structure

  4. Importing and exporting data (CSV, Excel, text files)

  5. Understanding Data Step and Proc Step

  6. Working with variables, data types, and formats


Week 2: Data Manipulation and Exploration (6 Hours)

  1. Reading and writing datasets from multiple sources

  2. Data cleaning and transformation using SAS procedures

  3. Using conditional statements (IF-THEN, ELSE, DO loops)

  4. Sorting, merging, and concatenating datasets

  5. Handling missing values and outliers

  6. Performing basic Exploratory Data Analysis (EDA) with PROC MEANS, PROC FREQ, PROC UNIVARIATE


Week 3: Statistical Analysis and Data Visualization (6 Hours)

  1. Descriptive statistics – mean, median, mode, standard deviation

  2. Inferential statistics – t-Test, ANOVA, correlation, and chi-square

  3. Regression analysis – linear and logistic regression

  4. Data visualization using PROC SGPLOT and PROC GPLOT

  5. Creating frequency tables and summary reports

  6. Exporting analytical results and graphs


Week 4: Advanced Analytics and Project Implementation (6 Hours)

  1. Introduction to predictive modeling in SAS

  2. Using SAS Macros for automation

  3. Advanced data manipulation techniques (ARRAY, RETAIN, MERGE JOIN)

  4. Case Study: Real-world data analytics project using SAS

  5. Preparing dashboards and performance reports

  6. 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

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