Специализация Business Analytics

Начинается Nov 18

Специализация Business Analytics

Make Data-Driven Business Decisions. Achieve fluency in business data strategies in four discipline-specific courses.

Об этой специализации

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.


5 courses

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Beginner Specialization.
No prior experience required.
  1. 1-Й КУРС

    Customer Analytics

    4 weeks of study, 5-6 hours/week
    Английский, Испанский, Китайский (упрощенное письмо)

    О курсе

    Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to descri
  2. 2-Й КУРС

    Operations Analytics

    4 weeks of study, 2-3 hours/week
    Английский, Китайский (упрощенное письмо)

    О курсе

    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 cou
  3. 3-Й КУРС

    People Analytics

    4 weeks of study, 1-2 hours/week
    Английский, Китайский (упрощенное письмо)

    О курсе

    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, de
  4. 4-Й КУРС

    Accounting Analytics

    4 weeks, 3 -5 hours per week
    Английский, Монгольский

    О курсе

    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 fin
  5. 5-Й КУРС

    Business Analytics Capstone

    Предстоящая сессия: Jan 21
    4 weeks of study, 4-5 hours/week

    О дипломном проекте

    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 o


  • University of Pennsylvania

    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