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Mastering SAS Programming

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Mastering SAS Programming, available at $44.99, has an average rating of 4.08, with 41 lectures, 8 quizzes, based on 6 reviews, and has 45 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful 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.

Enroll now: Mastering SAS Programming

Summary

Title: Mastering SAS Programming

Price: $44.99

Average Rating: 4.08

Number of Lectures: 41

Number of Quizzes: 8

Number of Published Lectures: 41

Number of Published Quizzes: 8

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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.

Target Audiences

  • 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.

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.

Course Curriculum

Chapter 1: Quick Refresher to Base SAS

Lecture 1: The Course Overview

Lecture 2: What is Business Analytics?

Lecture 3: Analytical Tools and Advantages of SAS

Lecture 4: SAS Libraries and Importing/Exporting Data

Lecture 5: Combining and Merging Datasets

Lecture 6: Data Manipulation

Chapter 2: Accessing Data Using SQL

Lecture 1: Introducing SQL

Lecture 2: Retrieving Data from Single Table

Lecture 3: Retrieving Data from Multiple Tables

Lecture 4: PROC SQL Views

Chapter 3: SAS Macros, Functions, and Programs

Lecture 1: Introducing Macros

Lecture 2: Macro Variables

Lecture 3: Creating Automatic and User-Defined Macro Variables

Lecture 4: Macro Functions

Lecture 5: Macro Programs

Lecture 6: Macros with SQL

Chapter 4: Statistics in SAS

Lecture 1: Introduction to Statistics

Lecture 2: Statistical Terms

Lecture 3: Types of Variables

Lecture 4: Hypothesis Testing

Lecture 5: Parametric and Non Parametric Tests

Lecture 6: Procedures in SAS for Descriptive Statistics

Chapter 5: Performing Cluster Analysis and Decision Trees

Lecture 1: Introduction to Cluster

Lecture 2: PROC CLUSTER

Lecture 3: PROC CLUSTER Example

Lecture 4: K-Means Clustering

Lecture 5: Decision Trees

Chapter 6: Performing Linear and Logistic Regression

Lecture 1: Introduction to Regression

Lecture 2: Linear Regression

Lecture 3: Linear Regression Example

Lecture 4: Logistic Regression

Chapter 7: Working with Time Series Data

Lecture 1: Need for Time Series Analysis

Lecture 2: PROC TIMESERIES with E-Commerce Dataset

Lecture 3: Time Series – Options

Lecture 4: Time Series Patterns

Lecture 5: ARIMA Model

Lecture 6: ARIMA Model – Demo

Chapter 8: Factor Analysis and Creating Custom Graphs

Lecture 1: Introduction to Principal Factor Analysis

Lecture 2: Principal Factor Analysis: Kaiser’s MSA and Factor Extraction

Lecture 3: Creating Scatterplots and Line Graphs Using GPLOT

Lecture 4: Creating Charts and Boxplots Using PROC GCHART and PROC BOXPLOT

Instructors

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  • 5 stars: 3 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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