商业分析 专项课程

开始日期 3月 27

免费试用

Enroll to start your 7-day full access free trial.

商业分析 专项课程

运用数据制定商业决策。通过四门特定领域课程的学习,熟练掌握商业数据策略。

本专项课程介绍

本专项课程介绍了大数据分析,授课对象为全体商业从业人员,包括从未接触过数据分析的人士。您将了解数据分析师如何在市场营销、 人力资源、 金融和运营的特定领域中,为商业决策提供阐释、 预测和参考,同时您将了解基本的数据知识,建立数据分析思维,这将会帮助您做出基于数据的战略决策。在期末毕业项目中,您将应用所学技能,对一组数据集实例进行分析,并给出适宜的商业战略建议。

制作方:

courses
5 courses

按照建议的顺序或选择您自己的顺序。

projects
项目

旨在帮助您实践和应用所学到的技能。

certificates
证书

在您的简历和领英中展示您的新技能。

免费试用
Enroll and get full access to every course in the Specialization for 7 days. Cancel any time.
课程
Beginner Specialization.
No prior experience required.
  1. 第 1 门课程

    客户分析

    当前班次:3月 27 — 5月 8。
    课程学习时间
    4周 5-6小时/周
    字幕
    English, Spanish, Chinese (Simplified)

    课程概述

    人们浏览和购买商品模式的数据随处可见。从信用卡交易记录和网上购物车,到客户忠诚度计划和用户评分/评价,存在着大量数据,可以用于描述人们的历史购买行为、预测未来行为、制定影响未来购买的新方案。本门课程中,四名来自沃顿商学院的顶尖市场学教授将深析客户分析的四个重要领域:描述性分析、预测性分析、规范性分析以及它们在商业领域的实际应用,比如亚马逊、谷歌、星巴克等企业都在运用这些分析方法。完成本课程后,学生将了解到数据应用于描述、分析和预测客户行为的方式;利用数据做出最佳商业决策的方法;以及企业如何利用数据满足 (并塑造) 客户需求、如何创造更大盈利。本课程旨在帮助你在新兴数据结构方面做出更佳的商业决策,以便将所学知识应用于你自己的企业。
  2. 第 2 门课程

    运营分析

    即将开课的班次:4月 3 — 5月 8。
    课程学习时间
    课程时长为4周,每周2-3小时
    字幕
    English, Chinese (Simplified)

    课程概述

    此课程是为影响转变数据成为更好的决定的想法而设计。最近在数据采集技术上的显著提升改变了公司进行有效决定的方式。
  3. 第 3 门课程

    人力资源分析

    当前班次:3月 27 — 5月 1。
    课程学习时间
    4 weeks of study, 1-2 hours/week
    字幕
    English

    课程概述

    People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships, decision making based on experience, and risk avoidance. In this brand new course, three of Wharton’s top professors, all pioneers in the field of people analytics, will explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques are used at cutting-edge companies. They’ll explain how data and sophisticated analysis is brought to bear on people-related issues, such as recruiting, performance evaluation, leadership, hiring and promotion, job design, compensation, and collaboration. This course is an introduction to the theory of people analytics, and is not intended to prepare learners to perform complex talent management data analysis. By the end of this course, you’ll understand how and when hard data is used to make soft-skill decisions about hiring and talent development, so that you can position yourself as a strategic partner in your company’s talent management decisions. This course is intended to introduced you to Organizations flourish when the people who work in them flourish. Analytics can help make both happen. This course in People Analytics is designed to help you flourish in your career, too.
  4. 第 4 门课程

    会计分析

    即将开课的班次:4月 3 — 5月 8。
    课程学习时间
    4周,每周3-5小时
    字幕
    English, Mongolian

    课程概述

    《会计分析》学习财务报表数据和非财务指标如何能与财务业绩相联系。在这门课中,有了沃顿商学院著名会计学教授的教学,你将会学到如何使用数据来评估驱动财务业绩表现的因素并预测未来财务背景。尽管许多会计和金融组织公布数据,会计分析有效利用这些数据来洞察内情,这堂课会涉及很多领域,在这些不同学习领域会提供数据使你能洞察其他商业领域,包括顾客行为预测、公司策略、风险管理、优化组合等等。学完此部分课程,你将理解财务数据和非财务数据是如何与预测、优化操作以及决定策略等相互影响的。这堂课为了帮助你能更好地做出商务决策,因此你能应用你所学知识来自己做出商务决策并使用财务数据t提出策略。
  5. 第 5 门课程

    商业分析毕业项目

    即将开课的班次:6月 12 — 7月 17。
    课程学习时间
    4 weeks of study, 4-5 hours/week
    字幕
    English

    毕业项目介绍

    The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end of this Capstone, you'll be able to ask the right questions of the data, and know how to use data effectively to address business challenges of your own. You’ll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions so that you can apply these strategies to your own company or business. Designed with Yahoo to give you invaluable experience in evaluating and creating data-driven decisions, the Business Analytics Capstone Project provides the chance for you to devise a plan of action for optimizing data itself to provide key insights and analysis, and to describe the interaction between key financial and non-financial indicators. Once you complete your analysis, you'll be better prepared to make better data-driven business decisions of your own.

制作方

  • 宾夕法尼亚大学

    The Wharton School of the University of Pennsylvania is recognized globally for intellectual leadership and ongoing innovation across every major discipline of business education.

    The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.

  • Noah Gans

    Noah Gans

    Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions
  • Sergei Savin

    Sergei Savin

    Associate Professor of Operations, Information and Decisions
  • Senthil Veeraraghavan

    Senthil Veeraraghavan

    Associate Professor of Operations, Information and Decisions
  • Ron Berman

    Ron Berman

    Assistant Professor of Marketing
  • Eric Bradlow

    Eric Bradlow

    Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
  • Martine Haas

    Martine Haas

    Associate Professor of Management
  • Wharton Teaching Staff

    Wharton Teaching Staff

    Educators
  • Christopher D. Ittner

    Christopher D. Ittner

    EY Professor of Accounting
  • Brian J Bushee

    Brian J Bushee

    The Geoffrey T. Boisi Professor
  • Cade Massey

    Cade Massey

    Practice Professor
  • Raghu Iyengar

    Raghu Iyengar

    Associate Professor of Marketing
  • Matthew Bidwell

    Matthew Bidwell

    Associate Professor of Management
  • Peter Fader

    Peter Fader

    Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative

FAQs

More questions? Visit the Learner Help Center.