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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sas-programming-for-beginners-y/
课程评论：没有评论
课程名称：初学者的SAS编程 课程概述：准备好开启您的数据分析职业生涯了吗？本课程专为SAS编程初学者设计，适合任何具有基本计算机知识的人士。通过学习，您将掌握揭示数据潜在秘密的技能，推动职业发展。 本课程提供全面的SAS编程基础知识，SAS是数据处理和分析的行业标准工具。您将获得实践经验，包括： 1. 数据访问与探索：学习如何从各种源（如SAS数据集、Excel文件和文本文件）获取数据，探索数据以识别模式和趋势。 2. 数据清理与准备：掌握处理数据中不一致、缺失值和格式问题的技巧，确保分析的准确性。 3. 数据转换：将数据转换为高效分析所需的格式，包括过滤行、计算新列和执行条件操作。 4. 统计分析与报告：使用强大的技术进行深入的统计分析，生成清晰且信息丰富的报告，并通过可视化手段有效传达您的发现。 本课程特别适合以下人群： - 希望开始数据分析职业的人士。 - 希望提升数据驱动决策能力的专业人士。 - 任何希望利用SAS编程的普通计算机知识者。 无需具备先前的SAS经验，立即报名，开启您成为数据驱动专业人士的精彩旅程！
Ready to launch your data analysis career? This course is perfect for anyone new to SAS programming, with a basic understanding of computers.Empower yourself with the skills to unlock the secrets hidden within your data and propel your career forward.This comprehensive course equips you with the foundational knowledge of SAS programming, the industry-standard tool for data manipulation and analysis. You'll gain hands-on experience in:Data Access and Exploration: Learn how to retrieve data from various sources like SAS datasets, Excel files, and text files. Explore your data to identify patterns and trends.Data Cleaning and Preparation: Master techniques to address inconsistencies, missing values, and formatting issues within your data to ensure accurate analysis.Data Transformation: Transform your data into the desired format for efficient analysis. This includes filtering rows, calculating new columns, and performing conditional operations.Statistical Analysis and Reporting: Conduct in-depth statistical analysis using powerful techniques. Generate clear and informative reports with visualizations to effectively communicate your findings.This course is perfect for:Individuals seeking to launch a career in data analysis.Professionals seeking to enhance their data-driven decision-making skills.Anyone with a basic understanding of computers who wants to leverage the power of SAS programming.No prior SAS experience is required!Enroll now and embark on your exciting journey towards becoming a data-driven professional!
