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所在平台: Udemy |
课程主页: https://www.udemy.com/course/microsoft-data-analytics-for-beginners/
课程评论：没有评论
**课程名称：** Microsoft 数据分析入门 **课程概述：** 本课程旨在介绍数据分析（DA）的流程，即检查数据集以发现趋势并从中得出结论。随着技术发展，数据分析越来越多地借助专业系统和软件进行。作为数据分析师，您将踏上一段旅程，探索组织中每日产生的海量数据，这些数据可能来自传统数据库的交易记录、服务遥测数据，乃至社交媒体信号等不同领域。 在数据能够“讲述故事”之前，必须经过一个重要的处理过程，使其变得可用。数据分析包括识别、清洗、转换和建模数据，以发现有意义且有用的信息。之后，这些数据通过报告被精心组织成故事，支持关键的决策制定。 在这个日益数据驱动的世界里，通过数据分析进行“数据讲故事”已成为各种规模企业的重要组成部分。这也是组织持续聘用数据分析师的原因。 数据驱动型企业依赖数据所讲述的故事来做出决策。然而，在当今世界，许多企业尚未充分发挥数据潜力，这是它们普遍面临的挑战。数据分析对于所有组织都至关重要，它能够帮助企业评估客户情绪、进行市场和产品研究，并识别趋势或其他数据洞察，从而确定对业务的影响。 **课程核心内容：** * 数据分析的基本概念和流程。 * 理解数据在企业决策中的重要性。 * 数据清洗、转换和建模的关键步骤。 * 如何将数据转化为有说服力的“故事”以支持决策。 * 数据分析在评估客户情绪、市场研究和趋势识别等方面的应用。 **学习目标：** * 掌握数据分析的基本工作流程。 * 理解数据分析在商业环境中扮演的角色。 * 学习如何处理和准备数据以进行分析。 * 培养通过数据发现洞察并进行有效沟通的能力。
Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.As a data analyst, you are on a journey. Think about all the data that is being generated each day and that is available in an organization, from transactional data in a traditional database, telemetry data from services that you use, to signals that you get from different areas like social media.Before data can be used to tell a story, it must be run through a process that makes it usable in the story. Data analysis is the process of identifying, cleaning, transforming, and modeling data to discover meaningful and useful information. The data is then crafted into a story through reports for analysis to support the critical decision-making process.As the world becomes more data-driven, storytelling through data analysis is becoming a vital component and aspect of large and small businesses. It is the reason that organizations continue to hire data analysts.Data-driven businesses make decisions based on the story that their data tells, and in today's data-driven world, data is not being used to its full potential, a challenge that most businesses face. Data analysis is, and should be, a critical aspect of all organizations to help determine the impact to their business, including evaluating customer sentiment, performing market and product research, and identifying trends or other data insights.
