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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-crash-course/
课程评论：没有评论
Coursera 数据分析速成课 **课程概述：** 本课程专为希望了解数据分析应用的人士设计，包括数据分析师、内部控制、IT、绩效管理和改进领域的专业人士，以及任何希望从数据中获取洞察力的人。特别是审计师和其他进行评估的人员，希望将数据分析运用到工作中。课程将提供进行基本数据分析所需的知识和工具。 **您将学到：** * 数据分析如何用于描述和诊断数据。 * 数据分析如何预测未来数据趋势。 * 数据分析如何提供决策建议。 * 应对大数据带来的挑战与机遇。 * 如何运用抽样和统计方法进行数据分析。 **课程内容：** 1. **数据分析与大数据挑战：** * 学习如何应对大数据挑战，抓住机遇。 * 了解数据和信息安全的治理。 2. **数据分析的应用：** * 熟悉数据分析的各种用途，包括描述性、诊断性、预测性和指示性分析。 * 能够运用数据分析流程。 3. **抽样与统计方法：** * 了解如何在数据分析中选择统计和非统计抽样方法。 * 学习用于数据分析的统计方法。 4. **分析测试与持续审计：** * 了解分析测试、持续审计和嵌入式审计模块。 **授课讲师：** Adrian Resag，在多家大型组织中使用和管理数据分析团队，以从数据中获价值。
We are glad to bring you the Data Analytics Crash Course. This course is ideal for:Those who want to know more about how to use data analytics, including those working as data analysts, in internal control, IT, performance management and improvement or anyone who wants to gain insight from data; Auditors or others performing assessments who wish to use data analytics in their work. The course will give you the knowledge and tools necessary to perform basic data analytics. Learn how data analytics can be used to describe and diagnose data, how it can be used to predict future data and how it can lead to prescriptions. Know about the challenges (and opportunities) of Big Data. Be able to use sampling and statistical methods and analytical tests to get value out of data. It is taught by Adrian Resag, who has used, and managed teams using, data analytics to get value from data in many large organizations. The course covers:Data Analytics and the Challenges of Big DataLearn how to cope with the challenges of big data and how to benefit from its opportunities. Know what governance should be in place over data and information security. Using Data AnalyticsKnow about the different uses for data analytics, including descriptive, diagnostic, predictive and prescriptive uses of data analytics. Be able to employ the data analytics process. Sampling and Statistical MethodsKnow how to choose between statistical and non-statistical sampling methods for analyzing data. Learn about statistical methods to analyze data. Analytical Tests and Continuous AuditingKnow about analytical tests, continuous auditing and embedded audit modules.
