|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/mastering-sas-programming/
课程评论：没有评论
课程名称：掌握SAS编程 课程概述：SAS是数据分析中最受欢迎的应用程序之一，广泛应用于金融和医疗等各个行业。它在所有分析工具中拥有最高的就业市场份额。如果您具备基础的SAS编程背景，并希望通过精通SAS将您的技能提升到新的层次，那么本课程将非常适合您！本课程将帮助您熟练掌握使用SAS处理数据、构建模型和分析数据，从而快速轻松地获得有价值的洞察。课程开始时将简要回顾SAS基础知识，然后深入探讨高级统计概念（如聚类、线性/逻辑回归）、决策树和时间序列分析。您还将掌握SAS宏、PROC SQL程序以及高级SAS过程，从而高效管理和操作数据。课程结束时，您将成为SAS编程的专家，轻松处理与数据相关的问题并建立统计模型。 讲师介绍：Ekta Saraogi是一位拥有12年经验的计算机工程师。她的职业生涯始于Java开发，始终对数据的力量在商业决策中的作用充满兴趣。她进入数据科学领域，利用技术和商业经验提供成本效益高的商业分析解决方案，目前作为自由职业者、企业/在线培训师以及数据科学导师，专注于SAS、R和Python。她与全球客户（来自美国和英国）的多个项目合作，并且是《SAS实战》视频课程的作者。 通过本课程，您将能够将您的SAS技能提升到一个新的高度，轻松应对数据相关的挑战。
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 AuthorEkta 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.
