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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sas-interview-mastery-with-300-questions-and-answers-2023/
课程评论：没有评论
课程名称：SAS面试精通：300+问题与答案 课程概述：该综合性的SAS面试准备课程旨在为您提供在SAS相关工作面试中所需的知识和技能。无论您是想开始数据分析职业生涯的初学者，还是希望提升自己SAS能力的经验用户，本课程涵盖广泛的话题，以确保您的成功。 课程内容： 1. **SAS基础**： - SAS介绍：建立对SAS的基础理解，包括其历史和在数据分析与商业智能领域的相关性。 - SAS环境：探索各种SAS环境，如SAS Studio、SAS Enterprise Guide和SAS Display Manager，学习如何有效导航和使用它们。 - SAS数据集与库：了解SAS数据集和库的基本概念，包括数据存储和组织。 2. **数据处理**： - 读取并导入数据：掌握使用DATA步骤和PROC IMPORT的技术。 - 数据集选项：探索数据集选项的使用以控制和修改数据集。 - 合并数据集：学习使用MERGE、SET和SQL等方法合并数据集。 - 条件处理：用IF-THEN-ELSE语句实施条件逻辑。 - 创建和重编码变量：掌握创建新变量和重编码现有变量的技巧。 3. **数据分析与报告**： - 描述性统计：使用MEANS、FREQ、SUMMARY等过程计算和展示汇总统计。 - 图形报告：使用PROC SGPLOT和PROC GCHART创建有效的数据可视化。 - 表格报告：使用PROC REPORT和PROC TABULATE生成结构化表格和报告。 - 高级报告：利用输出交付系统（ODS）定制和导出报告。 - 探索性数据分析（EDA）：学习探索数据分布、识别离群值和发现模式的技巧。 4. **SAS过程**： - PROC SQL：深入了解结构化查询语言（SQL）用于数据操作和检索。 - PROC UNIVARIATE：探索基本统计。 - PROC GLM、PROC LOGISTIC、PROC MIXED：理解线性和逻辑回归、混合模型及高级统计建模。 - PROC GENMOD：了解广义线性模型（GLM）使用PROC GENMOD。 - PROC TIME SERIES：掌握时间序列分析。 5. **数据转换与准备**： - 数据排序：使用PROC SORT进行数据组织。 - 数据转置：使用PROC TRANSPOSE重塑数据。 - 创建与使用宏：掌握创建和使用SAS宏以简化任务。 - 数据清理与验证：探索数据清理和确保数据完整性的技巧。 6. **高级主题**： - SAS宏与宏语言：深入高级SAS宏主题与宏语言。 - 处理缺失数据：学习管理和填补缺失数据的策略。 - SAS函数：理解SAS函数在日期、时间、数值与字符数据中的使用。 - SAS/STAT过程：深入统计过程，如PROC FREQ和PROC MEANS。 - SAS/GRAPH：使用SAS/GRAPH创建高级图形。 - SAS中的优化技术：探索SAS内的优化方法。 课程特色： - **300+独特问题**：课程包括300多个面试风格的问题及答案，涵盖概念理解和实际场景。 - **详细解释**：每个问题都附有详细的解释和解决方案，帮助您掌握基本概念。 - **实践练习**：通过课程，您将有机会练习SAS编程和数据分析技术。 - **实际应用**：学习如何将SAS技能应用于现实数据分析任务和场景。 - **职业提升**：无论您是在数据分析、商业智能或相关领域寻找工作，此课程将提高您的自信和准备程度。 通过该课程结束时，您将做好充足准备，以自信和专业知识应对与SAS相关的工作面试，深入理解SAS编程和数据分析概念。
This comprehensive SAS interview preparation course is designed to equip you with the knowledge and skills necessary to excel in SAS-related job interviews. Whether you're a beginner looking to start your career in data analysis or an experienced SAS user aiming to enhance your proficiency, this course covers a wide range of topics to ensure your success.Course Content:1. SAS Basics:Introduction to SAS: Gain a foundational understanding of SAS, its history, and its relevance in the data analysis and business intelligence field.SAS Environment: Explore various SAS environments, including SAS Studio, SAS Enterprise Guide, and SAS Display Manager, and learn how to navigate and utilize them effectively.SAS Data Sets and Libraries: Discover the essential concepts of SAS data sets and libraries, including data storage and organization.SAS Data Step and Proc Step: Understand the core components of SAS programming, including the DATA step for data manipulation and the PROC step for data analysis.2. Data Manipulation:Reading and Importing Data: Master techniques for reading and importing data using the DATA step and PROC IMPORT.Data Set Options: Explore the use of data set options to control and modify data sets.Combining Data Sets: Learn how to merge and combine data sets using methods like MERGE, SET, and SQL.Conditional Processing: Implement conditional logic with IF-THEN-ELSE statements to perform data processing based on specific criteria.Creating and Recoding Variables: Gain expertise in creating new variables and recoding existing ones to meet analysis requirements.3. Data Analysis and Reporting:Descriptive Statistics: Utilize procedures like MEANS, FREQ, SUMMARY to calculate and present summary statistics.Graphical Reporting: Create visualizations using PROC SGPLOT and PROC GCHART for effective data communication.Tabular Reporting: Generate structured tables and reports with PROC REPORT and PROC TABULATE.Advanced Reporting: Harness the power of the Output Delivery System (ODS) for customizing and exporting reports.Exploratory Data Analysis (EDA): Learn techniques for exploring data distributions, identifying outliers, and discovering patterns.4. SAS Procedures:PROC SQL: Dive into Structured Query Language (SQL) for data manipulation and retrieval.PROC UNIVARIATE: Explore basic statistics using PROC UNIVARIATE.PROC GLM, PROC LOGISTIC, PROC MIXED: Understand these procedures for linear and logistic regression, mixed models, and advanced statistical modeling.PROC GENMOD: Learn about Generalized Linear Models (GLM) using PROC GENMOD.PROC TIME SERIES: Master time series analysis with PROC TIME SERIES.5. Data Transformation and Preparation:Sorting Data: Use PROC SORT for data organization.Transposing Data: Reshape data with PROC TRANSPOSE.Creating and Using Macros: Gain proficiency in creating and using SAS macros to streamline tasks.Data Cleaning and Validation: Explore techniques for data cleaning and ensuring data integrity.6. Advanced Topics:SAS Macros and Macro Language: Delve into advanced SAS macro topics and the macro language.Handling Missing Data: Learn strategies for managing and imputing missing data.SAS Functions: Understand SAS functions for date, time, numeric, and character data.SAS/STAT Procedures: Dive into statistical procedures like PROC FREQ and PROC MEANS.SAS/GRAPH: Create advanced graphics with SAS/GRAPH.Optimization Techniques in SAS: Explore optimization methods within SAS.Course Features:300+ Unique Questions: This course includes a comprehensive set of 300+ interview-style questions and answers covering both conceptual understanding and practical scenarios.Detailed Explanations: Each question comes with detailed explanations and solutions to help you grasp the underlying concepts.Hands-on Practice: Throughout the course, you'll have the opportunity to practice SAS programming and data analysis techniques.Real-World Applications: Learn how to apply SAS skills to real-world data analysis tasks and scenarios.Career Enhancement: Whether you're seeking a job in data analysis, business intelligence, or related fields, this course will boost your confidence and readiness for SAS interviews.By the end of this course, you'll be well-prepared to tackle SAS-related job interviews with confidence and expertise, armed with a deep understanding of SAS programming and data analysis concepts.
