Course list

For a modern business to stay competitive, they must digitize business operations then harness the power of that gathered data.

In this foundational course, you will explore the required elements of digital operations by analyzing examples from the manufacturing, service, and retail industries. The key question that you will explore is: How can you improve an organization's capability to be data driven in its operations?

You will determine how digitization affects operations and apply a process-based approach for designing digital operations for a case study. By the end of the course, you will have discovered proven ways to gather, evaluate, and utilize data to improve a company's operations and overall performance.

  • May 27, 2026
  • Nov 11, 2026
  • Mar 17, 2027

Accurate forecasting or predictive analytics is an essential component of digital and data-driven businesses. The digital transformation of a company will require forecasting variables such as the time duration required to complete a customer order or verification and the total volume of demand expected in the future.

Accurate forecasting requires imagination and creativity to complement models, data, and good processes. In this course, you will practice and develop skills in demand forecasting so that you can tackle forecasting tasks in complex time-series data sets that include seasonality and trends as well as causal or regression-based forecasting methods for other types of data sets.

The following course is required to be completed before taking this course:

  • Designing Digital and Data-Driven Business Operations
  • Jun 10, 2026
  • Nov 25, 2026
  • Mar 31, 2027

Market experiments are an important way companies can test new products, examine pricing options, and continue to be industry leaders through innovation. Today, experimentation has become even more important because the use of algorithms and AI in businesses implies that companies can make faster decisions at a fine granularity and vast scale; e.g., by customizing product offerings for each geography or changing prices many times a day. It is not possible for human beings to manage, validate, and improve decision making at such a scale without using experiments. Ultimately, experiments help companies make decisions about what is working, what isn't working, and what could work in the marketplace.

In this course, you will explore the types and uses of experiments, design experiments, analyze experiment results, and apply techniques to ensure your firm's experiments produce reliable results.

The following courses are required to be completed before taking this course:

  • Designing Digital and Data-Driven Business Operations
  • Exploring the Fundamentals of Forecasting Demand
  • Jun 24, 2026
  • Dec 9, 2026
  • Apr 14, 2027

By utilizing data, machine learning, and various regression models, predictive analytics helps companies forecast demand, evaluate the effect of pricing strategies, anticipate customer purchasing decisions, and the like. In essence — and as the name suggests — predictive analytics helps organizations predict future outcomes.

Prescriptive analytics then goes one step further by using these predictive models along with decision rules and desired objective functions to make the best possible dynamic, automated decisions. Some examples include personalized advertising, online recommendation systems, surge pricing, promotional decisions, and stocking and fulfillment choices.

In this course, you will examine the foundational elements of prescriptive analytics, including how to use forecasts as input to build models for dynamic and automated decision making. You will then further analyze these concepts to ensure that these decisions align with and contribute positively to business goals and performance objectives.

The following courses are required to be completed before taking this course:

  • Designing Digital and Data-Driven Business Operations
  • Exploring the Fundamentals of Forecasting Demand
  • Designing Experiments in Retail and Online Businesses
  • Jul 8, 2026
  • Dec 23, 2026
  • Apr 28, 2027

Harnessing technologies as they emerge can lead to improvements but only if implemented effectively. Accurate measurements and careful analysis are necessary components of strategic managerial decision making.

In this course, you will explore the dimensions of marketplaces and the ways they differ from offering products. You will examine the importance of network externality and the methodology to measure it. With an accurate measurement, you can make decisions about augmenting positive externality and determining an effective pricing strategy. You will also analyze matching supply to demand and make strategic decisions for improvements. Furthermore, you will explore the front-end technologies companies utilize to monitor, gather, and examine customer data, enabling them to enhance business-customer engagement and boost customer fulfillment.

The following courses are required to be completed before taking this course:

  • Designing Digital and Data-Driven Business Operations
  • Exploring the Fundamentals of Forecasting Demand
  • Designing Experiments in Retail and Online Businesses
  • Optimizing Decisions Using Demand Forecasts
  • Jul 22, 2026
  • Jan 6, 2027
  • May 12, 2027

The financial performance metrics of businesses vary based on their industry and strategy. To effectively manage a business, it's important for analytics professionals and leaders to recognize these differences and influence the company's performance accordingly.

In this course, you will consider the effects of experimentation, forecasting, and optimization on financial performance. This entails understanding which financial performance metrics are affected by which aspect of operations, computing and interpreting those performance metrics, and building models to develop performance benchmarks.

The following courses are required to be completed before taking this course:

  • Designing Digital and Data-Driven Business Operations
  • Exploring the Fundamentals of Forecasting Demand
  • Designing Experiments in Retail and Online Businesses
  • Optimizing Decisions Using Demand Forecasts
  • Marketplaces and Emerging Technologies
  • Aug 5, 2026
  • Jan 20, 2027
  • May 26, 2027

eCornell Online Workshops are live, interactive 3-hour learning experiences led by Cornell faculty experts. These premium short-format sessions  focus on AI topics and are designed for busy professionals who want to gain immediately applicable skills and strategic perspectives. Workshops include faculty presentations, breakout discussions, guided hands-on practice, and downloadable resources.

The AI Workshops All-Access Pass provides you with unlimited participation for 6 months from your date of purchase. Whether you choose to attend one workshop per month, or several per week, the All-Access Pass will allow you to customize your AI journey and stay on top of the latest AI trends.

Workshops cover a range of cutting-edge AI topics applicable across industries, hosted by Cornell faculty at the forefront of their fields. Whether you are just getting started with AI, seeking to build your AI skillset, or exploring advanced applications of AI, Workshops will provide you with an action-oriented learning experience for immediate application in your career. Sample Workshops include:

  • Work Smarter with AI Agents: Individual and Team Effectiveness
  • Leading AI Transformation: Bigger Than You Imagine, Harder Than You Expect
  • Using AI at Work: Practical Choices and Better Results
  • Search & Discoverability in the Era of AI
  • Don't Just Prompt AI - Govern it
  • AI-Powered Product Manager
  • Leverage AI and Human Connection to Lead through Uncertainty

Request
more Info
by completing the form below.

Act today—courses are filling fast.

How It Works

Frequently Asked Questions

Digital transformation is no longer just a technology initiative. It is an operations challenge that requires clear process design, reliable data, and the ability to translate forecasts into decisions that improve performance. Cornell’s Digital Business Operations Certificate is built for professionals who need a practical way to modernize how work gets done and how decisions get made.

In this certificate program, authored by faculty from the Cornell SC Johnson College of Business, you will learn how to map and improve workflows, identify the data required to run operations as a “data factory,” and use analytics to forecast demand, test changes through well-designed experiments, and optimize capacity and pricing decisions. You’ll also learn how to connect operational improvements to financial performance metrics so you can communicate impact in the language leaders use to fund and scale change.

You will learn in a small cohort with an expert facilitator who guides discussions and provides feedback on applied assignments, helping you adapt methods to your own context.

If you want a structured approach to digitizing operations, practical analytics you can apply immediately, and the ability to link operational changes to measurable business performance, you should choose Cornell’s Digital Business Operations Certificate.

Many online programs focus on content consumption and isolated practice. Cornell’s Digital Business Operations Certificate is designed around application, feedback, and decision making so you can move from learning concepts to improving real operations.

Three elements make the experience meaningfully different:

  • Human-centered facilitation and accountability: You learn with a small cohort and an expert facilitator who guides discussions and provides feedback on your work, so you are not learning alone.
  • Work-relevant analytics, not just theory: You practice forecasting accuracy and bias, design experiments that reduce confounding, and build optimization models that turn forecasts into capacity and pricing decisions.
  • Digital operations end to end: The curriculum connects process design and data infrastructure to experimentation, prescriptive analytics, and financial performance measurement, helping you explain impact in operational and financial terms.

Because the coursework throughout the Digital Business Operations Certificate is built around applied assignments and real datasets, you develop skills you can bring back to operations, analytics, consulting, and digital transformation work immediately after the program.

Enrolling in Cornell’s Digital Business Operations Certificate also provides you with a 6-month All-Access Pass to eCornell's live online AI Workshops, interactive sessions led by world-class Cornell faculty that combine Ivy League insight with practical applications for busy professionals. Each 3-hour Workshop features structured instruction, guided practice, and real tools to build competitive AI capabilities, plus the opportunity to connect with a global cohort of growth-oriented peers. While AI Workshops are not required, they enhance certificate programs through:

  • Integrating AI perspectives across most curricula
  • Responding to emerging AI developments and trends
  • Offering direct engagement with Cornell faculty at the forefront of AI research

Cornell’s Digital Business Operations Certificate is a strong fit if you sit at the intersection of operations, analytics, and business performance and you want a repeatable way to modernize decision making.

The Digital Business Operations Certificate is designed for:

  • Managers, leaders, and executives who need to digitize workflows, improve service levels, and scale operations with better data
  • Business analysts who want to strengthen forecasting, experimentation, and optimization skills that support pricing, inventory, capacity, and customer decisions
  • Digital transformation managers and consultants who must assess operational maturity, define data requirements, and build a credible performance case for change
  • Entrepreneurs and operators who want to use process design and analytics to run leaner, faster, and more customer-responsive operations

To be set up for success, you should be comfortable working in Excel (building formulas, plotting, and manipulating data). Prior coursework in algebra or calculus is also recommended because you will work with regression-based forecasting and optimization concepts.

Project work in Cornell’s Digital Business Operations Certificate is designed to help you practice the same steps you would use on the job: map the current state, analyze data, test changes, and recommend decisions tied to performance.

You will complete applied, multi-part assignments such as:

  • Mapping a workflow with a flowchart, identifying bottlenecks, and quantifying the operational impact of process changes
  • Diagnosing a real workflow issue in your workplace (or a chosen organization) and writing a short, business-ready recommendation to improve digital capability and performance
  • Measuring forecast accuracy (including bias) and comparing time-series and regression-based forecasting approaches using real datasets
  • Analyzing the results of a controlled experiment using difference-in-differences, then designing improved experiments using clustering and randomized block design
  • Building capacity and pricing decisions from demand forecasts using optimization techniques in spreadsheet models
  • Connecting operational initiatives to financial outcomes by computing and interpreting performance metrics and benchmarking trade-offs

Throughout Cornell’s Digital Business Operations Certificate, your facilitator’s feedback helps you refine your thinking and communicate recommendations clearly.

Cornell’s Digital Business Operations Certificate helps you build credible, job-ready skill in turning data into operational decisions that leaders can measure and act on.

After completing the Digital Business Operations Certificate, you will be prepared to:

  • Apply digitization principles to optimize business operations, enhance customer value, and improve performance metrics
  • Develop forecasting models; evaluate performance; and make informed decisions for demand, pricing, and promotions
  • Utilize experiment design and analysis to drive decision making, reduce bias, and uncover operational opportunities
  • Leverage technology and data analytics to increase cost savings and generate revenue
  • Design prescriptive analytics to optimize capacity decisions in inventory, manufacturing, and workforce planning
  • Evaluate and tune performance metrics from a balance sheet to recognize performance trade-offs, develop benchmarking metrics, and make strategic decisions

Students who completed the program often report that the curriculum helps them translate digital transformation concepts into clear, practical improvements they can implement right away. They frequently highlight the program’s process-based approach, including mapping workflows and using structured analysis to identify where data infrastructure and automation can improve real operational outcomes. Feedback also emphasizes that the lessons are well-structured and easy to visualize through concrete examples and demonstrations, and that the flexible pacing, facilitator support, and opportunities to engage in live sessions reinforce learning and reflection across industries.

What truly sets eCornell apart is how our programs unlock genuine career transformation. Learners earn promotions to senior positions, enjoy meaningful salary growth, build valuable professional networks, and navigate successful career transitions.

Cornell’s Digital Business Operations Certificate, which consists of 6 short courses, is designed to be completed in 3 months. Each course runs for 2 weeks, with a typical weekly time commitment of 5 to 8 hours.

Built for busy professionals, most learning activities are asynchronous, so you can watch videos, work in Excel-based files, and complete assignments when it fits your schedule. To keep you moving forward, the program includes weekly milestones and interactive discussion with your cohort. Courses also include live online sessions led by the facilitator, offering you opportunities to ask questions, compare approaches with peers, and get unstuck on applied assignments.

If you want flexibility without feeling like you’re teaching yourself, the Digital Business Operations Certificate is structured to allow you to make consistent progress realistic alongside full-time work.

Students in Cornell’s Digital Business Operations Certificate often say the program helps them translate digital transformation concepts into clear, practical improvements they can implement right away in their organizations. They frequently highlight how the curriculum connects process thinking, data infrastructure, and automation to real operational outcomes, with examples and demonstrations that make the ideas easy to apply across industries.

Common themes students share include:

  • Practical tools for analyzing and optimizing business operations and workflows
  • Strong focus on process-based approaches, including mapping steps and using flowcharts to identify improvements
  • Actionable insights into data foundations and how they enable better operations and ERP automation
  • Real-world case applications that support roles like retail management and small business ownership
  • Clear, well-structured lessons with concrete examples and demos that aid visualization
  • Flexible pacing with supportive guidance, plus opportunities to engage in live sessions
  • High-quality coursework with feedback that reinforces learning and reflection

A computer science background is not required to succeed in Cornell’s Digital Business Operations Certificate, but you should be ready for quantitative, hands-on work.

You will spend time building and interpreting models in spreadsheets, working with real datasets, and using concepts such as regression-based forecasting, experiment measurement, and optimization logic for capacity and pricing. That is why the program recommends prior coursework in algebra or calculus.

Practical readiness matters more than programming depth in the Digital Business Operations Certificate program. If you can build formulas in Excel, create charts, and manipulate data, you will be prepared for most assignments. Some course materials also show how similar analyses can be done in Python or R, but the core learning experience is designed to be approachable for business professionals who are strengthening their analytics toolkit.

If you want to build confidence working with data while staying focused on business operations decisions, Cornell’s Digital Business Operations Certificate is designed to meet you where you are and help you level up quickly.

The curriculum in Cornell’s Digital Business Operations Certificate is built around doing the work, not only discussing it. You will learn the strategic “why,” but you’ll also practice the analytical “how” using realistic business scenarios.

Across the Digital Business Operations Certificate, you will have the opportunity to:

  • Evaluate forecast accuracy and bias, then build time-series and causal forecasting models
  • Design and analyze controlled experiments, including difference-in-differences, randomization, and clustering to reduce bias
  • Use demand forecasts as inputs to optimization models for capacity decisions and pricing decisions, including dynamic pricing logic
  • Translate operational improvements into financial performance metrics and benchmarks so you can communicate impact

This balance is useful if your role requires both decision support and influence. You leave with frameworks to discuss digital transformation clearly and the technical confidence to validate what is working, what is not working, and what to do next.

Most of the applied work in Cornell’s Digital Business Operations Certificate can be completed using Excel, especially for building formulas, plotting data, running regressions, creating pivot tables, and using optimization templates.

You will also see how common analytics workflows translate beyond spreadsheets. For example, the program references ways to run regression and optimization in Python (and sometimes R) as an option, which can be helpful if you want to scale methods across many products, locations, or time periods.

Because the focus in the Digital Business Operations Certificate program is decision making, the tools are taught in context. You use the tool to answer an operations question, such as which forecast performs best, whether an experiment result is reliable, what capacity level balances stockouts and excess, or what price maximizes revenue or profit under a model.

If you want to strengthen practical analytics capability without getting lost in tooling for its own sake, Cornell’s Digital Business Operations Certificate keeps the emphasis on business outcomes.