Introduction to Data Analytics for Accounting Professionals

所在平台: Coursera

课程主页: https://www.coursera.org/learn/intro-to-data-analytics

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课程简介

课程名称:会计专业人员数据分析入门 课程概述: 本课程涵盖了数据分析的基础知识,以及如何在组织中的项目中进行和应用数据分析。课程内容包括: - 数据驱动思维:理解拥有数据驱动思维的意义,该思维能够帮助您理解需要解决的问题,并在组织的战略和技术背景下做出或建议适当的数据驱动决策。 - 数据分析项目的关键考虑因素:本课程介绍并讨论在识别、建立和实施数据分析项目时的重要概念和考虑因素。这些内容将使您能够有效应对组织或行业的变化,包括从问题框架和范围定义,到理解组织需求和差距,再到与关键利益相关者的有效合作。 - 理解数据所需的技术知识:无论您查看的是财务数据还是非财务数据,结构化数据还是非结构化数据,您都需要了解数据分析的语言,以便与同事进行有效沟通,并在组织中使用数据分析时增加价值。 通过完成本课程,您将更好地能够提出正确的问题,增加更大的价值,并改善对利益相关者服务的质量。 课程大纲: - 第1周:

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课程详情

This course covers the foundations of data analytics and how to conduct and apply this to projects in your organization. This includes the following: - What does it mean to have a data-driven mindset? Having the right mindset will allow you to understand the problem that needs to be solved and make or recommend appropriate data-driven decisions in the context of the organization’s strategy and technologies. - What are the key considerations when identifying, establishing, and implementing a data analytics project? This course introduces and discusses important concepts and considerations, so you are ready to be effective no matter how your organization or industry changes. This includes everything from framing the problem and defining the scope, to understanding organizational requirements and gaps, to effectively working with key stakeholders. - What is the required technical knowledge you need so that you can understand data? Whether the data you’re looking at is financial or non-financial data, structured or unstructured, you need to understand the language of data analytics so that you can communicate effectively with colleagues and add value when using data analytics in your organization. By completing this course, you will be in a better position to ask the right questions, add greater value, and improve the quality of services to your stakeholders.

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