商业分析: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。

宾夕法尼亚大学

专项课程

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商业分析
  • 分类: 商业管理
  • 平台: Coursera
  • 语言: 英语

本专项课程介绍

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

第 1 门课程

客户分析

即将开课的班次:5月 9 — 6月 20。每隔 3 周会有一个新班次开课。
课程学习时间 4周 5-6小时/周

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。

第 2 门课程

运营分析

当前班次:5月 2 — 6月 6。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 2-3 hours/week

课程概述
This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.

第 3 门课程

人力资源分析

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 1-2 hours/week

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. 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. 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.

第 4 门课程

会计分析

当前班次:5月 2 — 6月 6。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks, 3 -5 hours per week

课程概述
Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data.

毕业项目

商业分析毕业项目

即将开课的班次:7月 11 — 8月 15。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 4-5 hours/week

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 Yahoo, a global technology company. 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 in Yahoo’s strategy. Once you complete your analysis of Yahoo’s actions, you’ll be better prepared to make better data-driven business decisions of your own.

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