Make Data-Driven Business Decisions. Achieve fluency in business data strategies in four discipline-specific courses.
WHAT YOU WILL LEARN
Explain how data is used for recruiting and performance evaluation
Model supply and demand for various business scenarios
Solve business problems with data-driven decision-making
Understand the tools used to predict customer behavior
SKILLS YOU WILL GAIN
- Customer Analytics
- Analytics
- Business Analytics
- Decision Tree
- Predictive Analytics
- Regression Analysis
- Marketing Performance Measurement And Management
- Simulation
- Mathematical Optimization
- Solver
- Talent Management
- Performance Management
About this Specialization
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.
Operations Analytics
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.
People Analytics
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.
Accounting Analytics
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.
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.
University of Pennsylvania
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.
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Shareable Specialization and Course CertificatesSelf-Paced Learning OptionCourse Videos & ReadingsPractice QuizzesGraded Assignments with Peer FeedbackGraded Quizzes with FeedbackGraded Programming Assignments
You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
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