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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-analyze-visualize
课程评论：没有评论
课程名称：数据分析与可视化 概述：本课程旨在让学习者全面了解数据分析和可视化工具，准备讨论最佳实践并制定应对关键发现的行动计划。课程首先探讨阻碍数据驱动文化采纳的常见障碍，随后介绍多种数据分析工具，包括R软件、Minitab、MATLAB和Python。课程重点讲解统计过程控制（SPC），该方法用于分析数据随时间的变化。此外，课程还涵盖了数据可视化的注意事项和禁忌、可视化软件（如Tableau、Excel和Power BI），以及如何创建数据故事。 课程包含在线讲座、视频、演示、项目作业、阅读材料和讨论，适合希望培养数据驱动思维模式、从中提取有助于改善公司业绩的深刻洞察的个体。学习者最好具备阅读报告、收集和使用数据以及解释可视化结果的基本知识。本课程是数据驱动决策（DDDM）专项培训的第二门课程。了解更多关于专项培训的信息，请查看视频概述：https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11。 课程大纲： 第1部分：数据分析软件工具 描述：本模块提供数据分析所需工具的概述。 第2部分：统计过程控制（SPC） 描述：本模块涵盖SPC，这是一种使用数据分析过程随时间变化的方法。它有助于识别当前问题，并可用于监控过程是否偏离控制状态。 第3部分：数据可视化与翻译 描述：本模块提供通过可视化和翻译利用数据的工具。 第4部分：项目：数据分析与可视化 描述：本模块为理论与实践的结合提供机会，学习者应用本课程的知识来解决实际的商业问题。
Part: 1
Title:Data Analysis Software Tools
Description:This module provides an overview of the tools needed for data analysis.
Part: 2
Title:Statistical Process Control (SPC)
Description:This module covers SPC, a way to analyze variation over time in your process using data. It is helpful in identifying current problems and can also be used to monitor the process for any deviations once the process is ‘in control'.
Part: 3
Title:Data Visualization and Translation
Description:This module provides tools for leveraging data through visualization and translation.
Part: 4
Title:Project: Data Analysis and Visualization
Description:This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story. Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
