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所在平台: Udemy |
课程主页: https://www.udemy.com/course/maso-english-datascience-excel-data_literacy-onc3002/
课程评论：没有评论
课程名称：数据素养：数字转型的终极指南 课程概述：“数据变成金！”你是否曾对购买商品时收到的收据毫不在意？事实上，这些收据中蕴含着关于顾客、价格等的丰富数据。就像我们常常随手丢弃的收据一样，我们是否也在忽视日常生活中众多的数据？对一些人来说，“数据”似乎遥不可及，但实际上，周围的一切都与数据息息相关。如果我们能够阅读并利用这些数据的价值，就能够创造出更高的成就。 **商业成功公式：数据素养** 在当今商业世界，数据如潮水般泛滥，我们面临着海量的信息。为了在各自的领域中脱颖而出，我们需要具备游刃有余的基础力量，而这种力量就是数据素养。数据素养是指像语言一样阅读、理解、分析和批判性地使用数据的能力。有效理解数据后，我们才能提高其质量，发掘隐藏的洞见。 **掌握数据素养：完整指南** 步骤1：从数据概念到数据驱动决策，打下坚实基础。 即使对于那些不熟悉“数据”一词的人，我们也从数据的基本概念和类型入手，逐步讲解数据驱动决策及数据中心组织的重要性和意义。 步骤2：利用熟悉的Excel进行数据分析，而不是走弯路。 分析数据是否需要掌握Python或R等编程语言？并不需要！我们将教你如何利用工作中常用的Excel工具，完整地进行数据分析。 步骤3：关注的重点：不仅仅是使用分析工具，而是提升数据分析技能。 本课程不仅仅介绍Excel的功能。我们将使用真实的数据集，解决工作中遇到的实际商业问题，涵盖从数据收集、预处理、分析、可视化到提取洞察和解决问题的全过程。你将自然掌握数据的查看、解读和利用，课程结束后，任何人都能实现数据驱动思维，并立即将数据分析技能应用于工作中。
Data Turned into Money!"Would you like a receipt?""No, just throw it away~"Receipts we receive when purchasing products are filled with data about the customer, price, and more.Like the receipts we carelessly discard, are we overlooking the numerous data in our everyday life?‘Data' might seem distant to some, but in reality, everything around us in our daily lives is data, and everything can be transformed into data.If we can read and utilize the value of this data, we can create another level of achievement.The Business Success Formula: Data LiteracyIn today's business world, often referred to as a data flood, there is an overwhelming amount of data.To excel in our respective fields, we need the foundational strength to swim through this flood.That strength is data literacy.Data literacy is the ability to read, understand, analyze, and critically use data as if it were a language.Only when we effectively understand data can we improve its quality and extract hidden insights through more professional and advanced data analysis.Just like this. Faster than anyone, yet solidly!Mastering Data Literacy: The Complete GuideSTEP 1. Building a solid foundation from data concepts to data-driven decision-makingEven for those unfamiliar with the term ‘data,' we start with the basics of data concepts and types, gradually building up to an easy understanding of the importance and meaning of data-driven decision-making and data-centric organizations.STEP 2. Analyze data with familiar Excel, not the hard wayDo you need to know programming languages like Python or R to analyze data?Not at all!We'll teach you how to ‘properly' analyze data using Excel, a tool commonly used in the workplace, from start to finish.STEP 3. What we should focus on: Not just using analytical tools, but enhancing data analysis skills.This course is not just about explaining the functions of Excel.We tackle real business problems encountered in the workplace using actual datasets, covering everything from data collection, preprocessing, analysis, to visualization, extracting insights and solving problems.You will naturally learn how to view, interpret, and utilize data, and after the course, anyone will be able to think data-driven and immediately apply data analysis skills to their work.
