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Mastering SAS Programming
Rating: 4.1 out of 5(6 ratings)
46 students

Mastering SAS Programming

Master SAS for data analysis, data management, and regression.
Last updated 6/2020
English
English

What you'll learn

  • Gain an understanding of basic SAS, its GUI, libraries, and importing/exporting data
  • Use PROC SQL to fetch data from multiple tables by using JOINS
  • Explore the power of SAS macros and optimize code and for faster data manipulation
  • Gain an in-depth understanding of statistics in SAS to summarize and graph data and also draw inferences from it
  • Perform cluster analysis on a dataset by applying K-means clustering to understand the purpose of unsupervised Machine Learning in SAS
  • Build a decision-tree model to visually and explicitly represent decisions and decision making
  • Apply linear or logistic regression in SAS and build models for predictive analytics on sales data
  • Build a time series model to see patterns in data
  • Use ARIMA modeling to build a model and make forecasts

Course content

8 sections41 lectures3h 58m total length
  • The Course Overview5:19

    This video will give you an overview about the course.

  • What is Business Analytics?5:46

    The aim of this video is to understand what Business Analytics is and the different types of Analytics.

       •  Go through a real-life practical example of Coke Industry to understand the importance of Business Analytics

       •  Understand definitions of various types of Analytics and differences between them

  • Analytical Tools and Advantages of SAS6:18

    This video will explain the various Data Analytical tools available and how to install SAS and get an overview of the SAS console.

       •  Understand different analytical tools available and how SAS is different

       •  Install SAS free edition and how to use it

       •  Understand SAS console and its various features

  • SAS Libraries and Importing/Exporting Data6:27

    This video aims at explaining two types of SAS libraries - permanent and temporary. It also explains how to import and export data.

       •  Understand the difference between permanent and temporary library through statements

       •  Import and export data in SAS

  • Combining and Merging Datasets10:29

    This video aims at explaining the different techniques or methods of combining data.

       •  Understand different methods like concatenation, interleaving, one-to-one reading, and one-to-one merging

  • Data Manipulation6:47

    This video aims to explain various data manipulation techniques like deleting and grouping observations, deleting and keeping variables, and so on.

       •  Understand how to delete and group observations

       •  Understand how to delete and keep variables

       •  Understand how to modify variable attributes, use BY statement, and SORT procedure

  • Test your knowledge

Requirements

  • Basic understanding of SAS programming

Description

SAS is one of the most popular applications for data analysis and is used widely in enterprises across various sectors such as finance, and healthcare. It holds the highest job market share of all analytics tools available today. If you have a basic SAS programming background and want to get into Data Analysis by mastering SAS and taking your skills to a different level, then this is the right course for you!

This course will help you become proficient in using SAS to handle data, build models, and analyze data so you can gain powerful insights quickly and easily. You will start with a quick refresher of basic SAS and then explore advanced statistical concepts (such as clustering and linear/logistic regression), decision trees, and time series analysis in-depth in SAS. You will also master SAS macros, PROC SQL procedures, and advanced SAS procedures so you can use SQL queries to manage and manipulate your data efficiently.

By the end of this video, you will be an expert in SAS programming and will have taken your skills to the next level. Also, you will be able to handle and manage your data-related problems very easily in SAS and build statistical models.

About the Author

Ekta Saraogi has been a computer engineer for the past 12 years. She started her career as a Java developer. One thing that has always intrigued her is the power of data to drives business outcomes by the right tools.

She ventured into the field of data science to get the best out of her technical and business experience and drove and delivered cost-effective business analytics solutions for global businesses.

She is now a freelancer, a corporate/online trainer, and a mentor in data science with SAS, R, and Python. She is working on various projects across different domains for global clients across the US and UK. She is also the author of the 'SAS in Practice' video course Published by Packt.

Who this course is for:

  • If you are a professional statistician or analyst with exposure to the basics of SAS programming and want to be an expert, this course is for you. Experienced SAS professionals who want to harness data science with SAS will also benefit from this course.