Programa Especializado - Análisis de Negocios

Comenzó el mar. 27

Programa Especializado - Análisis de Negocios

Make Data-Driven Business Decisions

Achieve fluency in business data strategies in four discipline-specific courses.

Sobre este Programa Especializado

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.

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5 courses

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Beginner Specialization.
No prior experience required.
  1. CURSO 1

    Análisis de Clientes

    Sesión actual: mar. 27 — may. 8.
    4 semanas de estudio, 5-6 horas/semana
    English, Spanish, Chinese (Simplified)

    Acerca del Curso

    Datos sobre nuestros patrones de navegación y compra están por todas partes. Desde transacciones de tarjetas de crédito y carros de compra en línea, hasta programas de lealtad del cliente y valoraciones/criticas generadas por usuarios, existe una asombrosa cantidad de datos que pueden ser utilizados para describir nuestros comportamientos de compra anteriores, predecir futuros, y prescribir nuevas formas de influir en decisiones de compra futuras. En este curso nuevo, cuatro de los mejores profesores de marketing de Warthon se sumergirán más profundamente en las áreas clave del análisis de clientes: análisis descriptivo, análisis predictivo, análisis perceptivo, y sus aplicaciones en las prácticas empresariales del mundo real, incluyendo a Amazon, Google y Starbucks, por solo mencionar algunos. Al final del curso entenderás como los datos son utilizados para describir, explicar y predecir el comportamiento del cliente; mejores prácticas para el uso de estos datos con el fin de prescribir estrategias de negocio más eficaces; y como empresas exitosas están utilizando estos datos para cumplir (y formar) las necesidades del cliente, y para aumentar sus ganancias en el proceso. Este curso ha sido diseñado para ayudarte a tomar mejores decisiones de negocios sobre las estructuras de datos emergentes, para que puedas aplicar todo lo que aprendiste en tu propia empresa o negocio inmediatamente.
  2. CURSO 2

    Operations Analytics

    Próxima sesión: abr. 3 — may. 8.
    4 semanas de estudio, 2-3 horas por semana
    English, Chinese (Simplified)

    Acerca del Curso

    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.
  3. CURSO 3

    People Analytics

    Sesión actual: mar. 27 — may. 1.
    4 semanas de estudio, 1-2 horas/semana

    Acerca del Curso

    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.
  4. CURSO 4

    Contabilidad Analítica

    Próxima sesión: abr. 3 — may. 8.
    4 weeks, 3 -5 hours per week
    English, Mongolian

    Acerca del Curso

    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. 
  5. CURSO 5

    Proyecto de Análisis Empresarial

    Próxima sesión: jun. 12 — jul. 17.
    4 weeks of study, 4-5 hours/week

    Sobre el Proyecto Final

    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.


  • Universidad de Pensilvania

    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

  • 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


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