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所在平台: Udemy |
课程主页: https://www.udemy.com/course/comptia-data-plus-certification-exam-preparation-exams/
课程评论：没有评论
**Coursera 课程总结：CompTIA Data+ 认证考试准备** 本课程专为希望在数据领域开启职业生涯的学习者设计，旨在帮助您为 CompTIA Data+ (DA0-001) 认证考试做好充分准备。Data+ 认证是 IT 行业中一项备受认可的入门级认证，能够证明您在收集、分析和解读数据以支持业务决策方面的核心技能。 **为何选择 CompTIA Data+？** * **行业认可：** 证明您在数据分析领域的技能和知识，提升求职竞争力。 * **厂商中立：** 适用于任何数据技术环境，不局限于特定软件或平台。 * **入门友好：** 覆盖数据分析基础知识，是数据分析领域的绝佳起点。 * **易于通过：** 旨在帮助具备基本数据分析概念理解的学习者成功获得认证。 **课程内容与特色：** 本课程提供丰富的模拟考试题目，每道题均配有**详细的解释和相关的复习资料**，帮助您深刻理解答案背后的原理。通过模拟考试，您可以： * **检验知识掌握程度：** 确认您对各项知识点的理解是否牢固。 * **增强考试信心：** 熟悉考试流程和题型，为实际考试建立信心。 * **了解考试表现：** 模拟限时考试环境，并提供分数报告，帮助您评估准备情况。 **CompTIA Data+ (DA0-001) 考试涵盖的五大领域：** 1. **数据概念与环境 (15%)** 2. **数据挖掘 (25%)** 3. **数据分析 (23%)** 4. **可视化 (23%)** 5. **数据治理、质量与控制 (14%)** **您将从课程中获益：** * 掌握数据模式、维度、类型和结构。 * 学习执行数据操作和优化查询。 * 了解如何选择和应用统计方法。 * 区分不同的分析类型和技术。 * 学会设计报告和仪表板。 **CompTIA Data+ 考试概览：** * **考试代码：** DA0-001 * **题目数量：** 最多 90 题（包括选择题、拖放题和性能题） * **考试时长：** 90 分钟 * **及格分数：** 675 分（满分 900 分） * **建议经验：** 18-24 个月的实践经验（实验室或实际工作） 立即开始准备，利用 CompTIA Data+ 认证为您的数据职业生涯铺平道路！
Data, the world runs on data! Companies need it, collect it, wrangle it and most importantly derive value from the data.If you are considering a career in data, the CompTIA Data+ certification is a great way to get started. It is a challenging exam, but it is well worth the effort. By passing the CompTIA Data+ exam, you will demonstrate your skills and knowledge to employers and set yourself up for success in a growing field.Becoming a data professional is a great way to start your IT career and the best certification to get started with is the CompTIA Data Plus certification exam so why not get started preparing today! There are many reasons why you should consider taking the CompTIA Data+ exam. Here are some of the most compelling reasons:It is an industry-recognized certification that demonstrates your skills and knowledge in data analytics. Earning the CompTIA Data+ certification will show potential employers that you have the skills and knowledge to collect, analyze, and interpret data to make informed business decisions. This can make you a more competitive candidate for job openings and promotions.It is a vendor-neutral certification, which means it is not tied to any specific software or platform. This makes it a valuable certification for anyone who wants to work with data, regardless of the tools they use.It is an early-career certification, which means it is a good option for people who are new to the data analytics field. The exam covers the fundamentals of data analytics, making it a good starting point for anyone who wants to learn more about the field.It is a relatively easy exam to pass, making it a good option for people who are not experienced with certification exams. The exam is designed to be passed by people with a basic understanding of data analytics concepts.This CompTIA Data Plus Certification Exam Preparation Exam course provides you exam practice questions that have full explanations and even references to review to ensure that you understand the answers.The goal of these questions if for you to confirm your mastery of the topics and providing you with the confidence you'll need to take your CompTIA Data+ (DA0-001) Certification exam.The practice exams are timed and you will recieve a score to help you understand how well you performed. What will the CompTIA Data Plus test you on?The CompTIA DATA+ exam covers 5 domains:Data Concepts and Environments (15%)Data Mining (25%)Data Analysis (23%)Visualization (23%)Data Governance, Quality, & Controls (14%)How you will benefitData schemas, dimensions, types, and structuresHow to execute data manipulations and optimize queriesHow to select and use statistical methodsAnalysis types and techniquesHow to design reports and dashboardsCompTIA Data Plus Exam OverviewExam Code: DA0-001Max. 90 questions (multiple-choice, drag-and-drop, and performance-based)Length of exam: 90 minutesPassing score: 675 (on a scale of 100-900)Recommended experience: 18-24 months' hands-on experience in a lab or in the field
