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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-literacy-for-professionals/
课程评论：没有评论
**课程名称：** 面向商业人士的数据素养 (Data Literacy for Business Professionals) **课程概述：** 在这个数据驱动的时代，掌握数据素养已成为企业成功的关键。本课程旨在帮助您理解数据、指导数据分析过程，并让您能够从头到尾领导数据驱动的项目。通过本课程的学习，您将能够： * **在数据革命中脱颖而出：** 成为能够为组织带来强大数据驱动决策能力的人才。 * **掌握数据分析全流程：** 学习如何收集和准备数据集，如何进行数据可视化探索，如何用少量数字（如均值、中位数等）有效总结海量数据，以及如何清晰地呈现项目成果。 * **通过实践巩固技能：** 课程包含超过20个讲座，2.5小时的视频内容，并提供可下载的Excel文件，让您在学习过程中同步练习，掌握课程中的各项概念和操作。 **课程结构：** 课程将围绕数据分析项目的四个关键步骤展开： 1. **数据收集与准备 (Collecting and Preparing Data)** 2. **数据可视化探索 (Exploring Data Visually)** 3. **数据数值描述 (Describing Data Numerically)** 4. **数据故事讲述 (Telling the Story)** **目标收获：** 学完本课程后，您将具备独立领导数据驱动项目、有效利用数据进行决策的能力，从而在职业发展中获得竞争优势。
The data revolution is coming! Around the globe companies are relying on data to make optimal decisions and bring about better solutions for their customers. To stay ahead of the curve and not be left behind you need to develop data literacy - the ability to understand data and guide a data driven analysis process. By the end of this course, you will be prepared to lead a data driven project from start to finish. Data literacy will enable you to stand out among peers as you are able to drive robust data-driven decision making to your organization. With over 20 lectures and two and a half hours of video, you will be exposed to many topics including how to collect and prepare a dataset, ways to explore data visually, how to effectively summarize a dataset with millions of rows into just a few numbers, and how to present all your results effectively at the end of a project. You will also have the opportunity to practice what we learn as you go along in the course! Downloadable Excel files will be available so students can apply the concepts as they learn them and arrive at the same results I do in each lecture.The course is broken down into the four steps you must take when working on any data analysis project: Collecting and Preparing DataExploring Data VisuallyDescribing Data NumericallyTelling the Story I look forward to seeing you in the course and helping you develop data literacy!
