Online Learning Wharton Live Online Self-Paced Online Programs Wharton Online Programs Online Programs with Emeritus Online Programs with Wall Street Prep Blended Learning Solutions for Organizations Business Analytics: From Data to Insights (BA) Chances are you’re swimming in data. It’s become ubiquitous. But so has the potential for turning it into revenue-producing action. How do you make that happen? Wharton’s nine-week online program—Business Analytics: From Data to Insights—provides managers and leaders an understanding of how analytics can help improve their decision-making process. This program will help you look at data and identify insights, improve your ability to make predictions for the long term, and prescribe future actions that help make better business decisions. The program is organized across three core pillars of analytics: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics. A diverse and talented team of top faculty bridge analytics theory with practice across multiple industries. The online program combines lectures by leading faculty from Wharton with case studies and examples, creating rich content to apply and practice key analytics principles Program Highlights Understand new and best-practice methods used to collect data Gain new insight on user behavior Learn the appropriate tools for predicting future outcomes Employ real-world business analytics utilized at top firms Formulate data-driven recommendations to inform the strategic business decisions that lead your company toward success PROGRAM DETAILS Duration: 9 weeks Location: Online Learn more and apply The program fee is US$2,850 and covers teaching fees, all academic material, and access to online coursework. Program Format In this program, our world-class faculty will guide you through the journey of discovering your true leadership potential to realize your vision and goals as a C-suite member Module 1 Introduction to Business Analytics Module 2 Descriptive Analytics: Gathering Insights Module 3 Descriptive Analytics: Describing and Forecasting Future Events Module 4 Predictive and Prescriptive Analytics: Application and Toolkit Module 5 Predictive Analytics: Tools for Decision Making Module 6 Predictive Analytics: Using Data to Predict Employee Performance Module 7 Prescriptive Analytics: Providing Recommendations for Change Behaviour Module 8 rescriptive Analytics: Determining the Most Favorable Outcomes Module 9 Application of Analytics for Business Who Should Attend This program is ideal for professionals across various roles who want to leverage data-driven decision-making to create strategic business value. Whether you’re a C-suite executive aiming to stay ahead of trends, a mid- to senior-level manager looking to optimize your team’s performance, an analyst eager to draw more impactful insights, or a consultant striving to offer sharper client solutions, this program offers essential tools and frameworks. It is especially beneficial for individuals in roles such as CEOs, CIOs, CMOs, Vice Presidents, Financial and Business Analysts, Product and Project Managers, and Business Development and Operations Managers. Certificate Upon successful completion of the program, you will earn a digital certificate of completion from the Wharton School. Note: After successful completion of the online program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School. This online certificate program does not grant academic credit or a degree from the Wharton School of the University of Pennsylvania. To learn more, please contact: +1 680 205 5118 (US) learner.success@emeritus.org Learn More and Apply Delivered in collaboration with program partner Emeritus: Christopher D. Ittner, PhDSee Faculty BioEY Professor of Accounting; Chairperson, Accounting Department, The Wharton SchoolResearch Interests: Cost accounting, intangible assets, performance measurementPeter Fader, PhDSee Faculty BioFrances and Pei-Yuan Chia Professor; Professor of Marketing, The Wharton SchoolResearch Interests: Lifetime value of the customer, sales forecasting for new products, behavioral dataRaghuram Iyengar, PhDSee Faculty BioMiers-Busch, W’1885 Professor; Professor of Marketing; Faculty Director of Innovation, Experiential Learning and Research Initiatives, Analytics at Wharton, The Wharton SchoolResearch Interests: Pricing, social influence, social networksSenthil Veeraraghavan, PhDSee Faculty BioProfessor of Operations, Information, and Decisions, The Wharton SchoolResearch Interests: Empirical operations management, operations analytics, operations management, operations strategy, pricing and revenue management, service operations management, supply chain managementSergei Savin, PhDSee Faculty BioProfessor of Operations, Information and Decisions, The Wharton SchoolResearch Interests: Capacity and patient flow management in health care operations, diffusion models for new products and services, revenue managementRon Berman, PhDSee Faculty BioAssociate Professor of Marketing, The Wharton SchoolResearch Interests: Online marketing, entrepreneurship, marketing analytics, search engine marketing, game theory, industrial organizationNoah GansSee Faculty BioAnheuser-Busch Professor of Management Science; Professor of Operations, Information, and Decisions, The Wharton SchoolResearch Interests: Service operations, stochastic processes, the control of queueing systemsEric T. Bradlow, PhDSee Faculty BioThe K. P. Chao Professor; Professor of Marketing; Vice Dean of Analytics at Wharton; Chairperson, Wharton Marketing Department, The Wharton School; Professor of Economics; Professor of Education; Professor of Statistics, University of PennsylvaniaResearch Interests: Bayesian computation, latent variable models, marketing research methods, missing data problems, analytics, psychometricsMatthew Bidwell, PhDSee Faculty BioXingmei Zhang and Yongge Dai Professor; Professor of Management, The Wharton SchoolResearch Interests: Careers, contingent work, firm boundaries, human resource management, knowledge workers Learn More and Apply
