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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/pwc-analytics
课程评论：没有评论
课程名称：数据分析和演示技能：普华永道方法专业化 概述：本专业化课程旨在帮助普华永道的员工通过数据分析将商业智能转化为实际成果。通过对数据的更好理解、过滤及应用，学员将能更快地解决问题，从而做出更明智有效的决策。课程内容包括使用Microsoft Excel、PowerPoint及其他常见的数据分析工具，并着重教授如何以吸引人的方式展示数据，以促进他人的参与和行动。此外，注册课程的学员将被邀请加入普华永道的人才网络，获取相关职业机会和思想领导力的信息。 课程大纲： 1. 数据驱动的决策制定 - 课程链接：[数据驱动的决策制定](https://www.coursera.org/learn/decision-making) - 介绍数据分析及其在决策中的重要性。 2. 使用Excel解决问题 - 课程链接：[使用Excel解决问题](https://www.coursera.org/learn/excel-analysis) - 探索Excel在解决商业问题中的应用。 3. 高级Excel的数据可视化 - 课程链接：[高级Excel的数据可视化](https://www.coursera.org/learn/advanced-excel) - 学习高级Excel功能，使用PowerPivot进行数据可视化。 4. 使用PowerPoint进行有效的商业演示 - 课程链接：[使用PowerPoint进行有效的商业演示](https://www.coursera.org/learn/powerpoint-presentations) - 学习如何结构化演示以讲述数据故事。 5. 数据分析与演示技能：普华永道方法最终项目 - 课程链接：[数据分析与演示技能最终项目](https://www.coursera.org/learn/data-analysis-project-pwc) - 综合应用所学技能完成项目。 注意：如需审核课程，需分别注册每门课程以查看审核选项。该专业是由普华永道会计师事务所创建的，地址位于纽约麦迪逊大道300号。
Course Link: https://www.coursera.org/learn/decision-making
Name:Data-driven Decision Making
Description:Offered by PwC. Welcome to Data-driven Decision Making. In this course, you'll get an introduction to Data Analytics and its role in ... Enroll for free.
Course Link: https://www.coursera.org/learn/excel-analysis
Name:Problem Solving with Excel
Description:Offered by PwC. This course explores Excel as a tool for solving business problems. In this course you will learn the basic functions of ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-excel
Name:Data Visualization with Advanced Excel
Description:Offered by PwC. In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build ... Enroll for free.
Course Link: https://www.coursera.org/learn/powerpoint-presentations
Name:Effective Business Presentations with Powerpoint
Description:Offered by PwC. This course is all about presenting the story of the data, using PowerPoint. You'll learn how to structure a presentation, ... Enroll for free.
Course Link: https://www.coursera.org/learn/data-analysis-project-pwc
Name:Data Analysis and Presentation Skills: the PwC Approach Final Project
Description:Offered by PwC. In this Capstone Project, you'll bring together all the new skills and insights you've learned through the four courses. ... Enroll for free.
If you are a PwC Employee, gain access to the PwC Specialization and Courses for free using the instructions on the PwC L&D Spark page or simply search "Coursera" on PwC Spark. This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You’ll learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act. What's more, should you enroll in these courses, you will be invited to join PwC's talent network. Those who opt into this talent network will receive information about PwC career opportunities, thought leadership, and happenings in the PwC global network. Please note: If you'd like to audit the courses in this Specialization, you'll need to enroll in each course separately and then you will see the audit option. This specialization was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
数据分析和演示技能：普华永道方法专业化：如果您是普华永道员工，则可以使用普华永道L＆amp; D Spark页面上的说明免费访问普华永道专业化课程。 该专业知识将帮助您进行数据分析，将商业智能转变为现实结果。我们将探索更好地理解，过滤和应用数据的组合如何帮助您更快地解决问题-导致更明智，更有效的决策。您将学习如何使用Microsoft Excel，PowerPoint和其他常见的数据分析和交流工具，也许最重要的是，我们将帮助您以使他人参与您的故事并激发他们行动的方式向他人展示数据。 。 此外，如果您注册这些课程，将被邀请加入普华永道的人才网络。那些选择加入该人才网络的人将获得有关普华永道职业机会，思想领导力和普华永道全球网络中发生的事情的信息。 请注意：如果您想审核本专业中的课程，则需要分别注册每门课程，然后您会看到审核选项。 该专业是由普华永道会计师事务所（PricewaterhouseCoopers LLP）创建的，地址为10017纽约，麦迪逊大道300号。
