Course list

To successfully and quickly solve business problems you need more than just intuition; you need solutions based on data. Data analytics is essential for any successful business. It helps us frame problems, make comparisons, forecast outcomes, and make decisions. You can use simple but very effective tools to analyze your data and make better, more informed decisions.

In this course, you will explore spreadsheet modeling for applied decision making. You will work with data sets and navigate in an Excel 2016 Workbook. You will examine data cleaning and modeling concepts, practice core Excel skills, and explore ways to apply data management techniques to the spreadsheet system by using its math and logic capabilities to their full potential. By performing data management, you can improve the structure and usefulness of your data.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

  • Apr 15, 2026
  • Apr 29, 2026
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026

Organizations go to great lengths to collect data to inform business decisions. However, given the volume of data, it can become difficult to sift through and find the needed answers. In this course you will gain exposure to the challenges of working with data and learn how you can use Excel to efficiently harvest data to make business decisions. Using Excel as a tool you will be able to quickly answer business questions by applying criteria to your data using Excel's logic functions, quickly retrieve information from a large set of data, and visually enhance your data.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

  • Apr 15, 2026
  • Apr 29, 2026
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026

When your audience can quickly and efficiently understand what the data is telling them without having to scour every row and column, they can gain insights from your analysis more efficiently. In this course, you will apply the power of Excel pivot tables to see your data from multiple perspectives, use data visualization techniques that effectively communicate your analysis to your audience, create charts that quickly and clearly visualize your analysis, and apply the principles of graphical integrity to your charts.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

  • Apr 15, 2026
  • Apr 29, 2026
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026

In order to execute the most informed business analyses, we need the right tools for making predictions from data. Excel provides powerful predictive analytic tools that let the user forecast trends and make predictions with historical data.

In this course, you will conduct financial analyses by comparing loan scenarios using financial functions, identifying what values are needed to achieve a desired result, and quickly identifying how changes in your data will impact outcomes. You will leave this course with the ability to leverage reliable historical data to generate simulations and make predictions.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Getting Started with Spreadsheet Modeling and Business Analytics
  • Apr 15, 2026
  • Apr 29, 2026
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026

Most decisions are made based on the desire to find the best way to do something. Solving complex business problems related to organizational goals can be a challenge. The ability to do this can be maximized with a little preparation and the power of Excel. When you use data in your analysis to prescribe what should happen next, you're performing prescriptive analytics. With this knowledge, you can build models and generate results that maximize outcomes by actually suggesting a course of action. In this course you will gain the skills needed to execute efficient and effective decisions backed by your data analysis.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Getting Started with Spreadsheet Modeling and Business Analytics
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026
  • Jul 22, 2026
  • Aug 5, 2026

Have you ever had to do an analysis of data but found that the data you needed was not all in one place? It could be online, in separate Excel files, or you might find that it's in different formats. It could take hours to convert and organize everything you need. In this course you will learn Excel's options for data management and modeling to relate data from multiple sources quickly and create interactive dashboards that answer dozens of questions. You will be able to import data from different Excel workbook files into one file or even import data in different formats like Notepad for the web and different databases.

Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this course. Excel for Web (Online) and Excel for Mobile will not suffice.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Getting Started with Spreadsheet Modeling and Business Analytics
  • Apr 15, 2026
  • Apr 29, 2026
  • May 13, 2026
  • May 27, 2026
  • Jun 10, 2026
  • Jun 24, 2026
  • Jul 8, 2026

Symposium sessions feature two days of live, highly interactive virtual Zoom sessions that will explore today’s most pressing topics. The Leadership Symposium offers you a unique opportunity to engage in real-time conversations with peers and experts from the Cornell community and beyond. Using the context of your own experiences, you will take part in reflections and small-group discussions to build on the skills and knowledge you have gained from your courses.

Join us for the next Symposium in which we’ll discuss the ways that leaders across industries have continued engaging their teams over the past two years while pivoting in strategic ways. You will support your coursework by applying your knowledge and experiences to relevant topics for leaders. Throughout this Symposium, you will examine different areas of leadership, including innovation, strategy, and engagement. By participating in relevant and engaging discussions, you will discover a variety of perspectives and build connections with your fellow participants from various industries.

          All sessions are held on Zoom.

          Future dates are subject to change. You may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete any certificate program. Once enrolled in your courses, you will receive information about upcoming events. Accessibility accommodations will be available upon request.

          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, and guided hands-on practice.

          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

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          How It Works

          I like to think outside of the box, and this program from eCornell helped me conceptualize how I want to approach data problems going forward. I was able to actually apply new course concepts to my work, rather than simply repeat steps with different values.
          ‐ Mark T.
          Mark T.

          Frequently Asked Questions

          Data is everywhere at work, but turning raw spreadsheets into decisions that leaders trust is still a common bottleneck. Cornell’s Business Analytics Certificate is built to help you move from “I have the data” to “I can explain what it means and what we should do next” using Excel as your primary analytics tool.

          Across the certificate, authored by faculty from the Cornell SC Johnson College of Business, you will practice a complete analytics workflow that mirrors real business needs: cleaning and structuring messy data, harvesting the specific information you need with logic and lookup functions, visualizing insights with PivotTables and PivotCharts, forecasting outcomes with what-if tools and basic simulations, and optimizing decisions using Solver for prescriptive analytics. You’ll also learn to create interactive dashboards and data models that let stakeholders explore answers quickly.

          Since the Business Analytics Certificate focuses specifically on business impact, you will learn not just how to analyze data but also how to translate that analysis into strategic business decisions that drive ROI, making you an invaluable asset to any organization.

          If you want job-ready Excel modeling skills, a repeatable process for turning data into decisions, and the confidence to communicate insights clearly to stakeholders, you should choose Cornell's Business Analytics Certificate.

          Many online analytics offerings are either video only and self-directed or narrowly technical without much attention to day-to-day business decision making. Cornell’s Business Analytics Certificate uses a human-centered learning model designed for working professionals who want to practice, get feedback, and apply what they learn immediately.

          You learn in a small cohort where an expert facilitator guides discussions, answers questions, and provides feedback on your project work. The curriculum is designed by Cornell faculty, and many programs include opportunities to engage in live sessions and faculty-led discussions that deepen understanding and help you apply concepts to your own context.

          Within Cornell’s Business Analytics Certificate, the difference is also the progression of capabilities you build in Excel. You move beyond basic reporting into modeling, forecasting, and prescriptive optimization, and you learn how to communicate insights with visual integrity and interactive dashboards.

          Plus, by enrolling in the Business Analytics Certificate, you get two years of access to Leadership Symposium featuring two days of live, highly interactive virtual Zoom sessions that will explore today’s most pressing topics, giving you a unique opportunity to engage in real-time conversations with peers and experts from the Cornell community and beyond.

          Enrolling in this 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 Business Analytics Certificate is a strong fit if your role depends on making sense of functional or financial data and you want to do it faster, more accurately, and with more credibility.

          The Business Analytics Certificate is designed for:

          • Professionals interested in moving into an analyst role
          • Managers and executives responsible for reporting, resource allocation, or performance tracking
          • Entrepreneurs and business owners who need to evaluate options and make data-backed decisions
          • Administrative and executive assistants who support leaders with analysis, reporting, and dashboards
          • Anyone who wants a practical refresher on modern Excel and how it supports analytics

          Because the program is Excel centered, you will be most successful when you can commit time each week to hands-on practice in a desktop version of Microsoft Excel.

          Project work in Cornell’s Business Analytics Certificate is designed to feel like the work you do on the job: You will clean data, apply formulas and logic, build models, and communicate what the results mean.

          Examples of the types of multi-part projects you will complete include:

          • Cleaning and formatting messy sales or order data, calculating totals and adjustments, and turning unstructured text into a structured, filterable table
          • Mining large datasets with criteria-based functions, using nested logic to automate decisions (such as approve or deny outcomes), and pulling information from other sheets with lookup and indexing techniques
          • Building PivotTables to answer specific performance questions then creating charts and PivotCharts that communicate insights while following graphical integrity guidelines
          • Comparing financing or business scenarios with financial functions and amortization schedules, creating what-if forecasts with Scenario Manager and Goal Seek, and exploring sensitivity with one- and two-variable data tables
          • Optimizing a decision with prescriptive analytics by defining objectives, decision variables, and constraints in Solver, then generating reports to explain what is driving the recommended outcome
          • Importing and relating data from multiple sources into a data model and turning it into an interactive dashboard with slicers and calculated fields

          By the end of the program, you will have a set of workbook-based deliverables that demonstrate how you approach analysis, from raw data to decision-ready recommendations.

          Cornell’s Business Analytics Certificate equips you to turn everyday Excel work into clearer, faster, and more decision-relevant analysis that stakeholders can act on.

          After completing the Business Analytics Certificate, you will have the skills to:

          • Analyze financial and functional data using Excel
          • Demystify the concepts of business analytics and apply them to your work
          • Harvest data to make business decisions
          • Leverage Excel’s business analytics and modeling capabilities
          • Apply prescriptive modeling and analysis methods
          • Make analytical predictions and forecasts using your formatted datasets
          • Master data visualization techniques to effectively communicate your analysis
          • Add interactivity to datasets with dashboards
          • Answer business questions by applying criteria to your data

          Students frequently describe the program as a practical, confidence-building experience that helps them become faster and more effective with Excel-driven analysis while balancing a busy schedule. In survey feedback, learners commonly highlight job-ready skills such as PivotTables, lookup functions, conditional formatting, data cleaning, and using data analysis tools to prepare raw data for better decision making. They also emphasize creating meaningful visualizations, building interactive dashboards, and completing hands-on workbooks and projects that mirror real business scenarios, with responsive facilitator feedback that helps them stay on track.

          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 Business Analytics Certificate, which consists of 6 short courses, is designed to be completed in 3 months. Each course in this certificate runs for 2 weeks, with a typical weekly time commitment of 3 to 5 hours.

          In practice, you can expect:

          • Coursework you can complete on your own schedule for readings, videos, exercises, and project work
          • Clear weekly deadlines that keep you moving forward without requiring you to log in at one specific time every day
          • Opportunities for optional live sessions that add interaction and help you apply concepts

          Designed for working professionals, this format gives you flexibility while still providing structure, feedback, and accountability throughout Cornell’s Business Analytics Certificate.

          Students in Cornell’s Business Analytics Certificate often describe the experience as a practical, confidence-building way to become faster and more effective with Excel-driven analysis while balancing a busy work and life schedule. They frequently point to the program’s clear progression from core spreadsheet skills to business analytics techniques, and they highlight how quickly they can apply what they learn on the job.

          Common themes you will hear from students include:

          • Building job-ready Excel analytics skills, including PivotTables, lookup functions, conditional formatting, and data analysis tools
          • Learning to clean, organize, and prepare raw data for analysis and better decision making
          • Creating meaningful data visualizations, including charts, graphs, and presentation-ready visuals
          • Developing dashboard skills, including interactive dashboards that bring multiple data views together
          • Practicing with hands-on workbooks, exercises, and projects that mirror real business scenarios
          • Video lessons that are concise, step by step, and easy to follow while you practice in Excel
          • A flexible format that fits full-time work, with the ability to learn on your own schedule
          • Supportive, responsive facilitators who provide timely feedback and help you stay on track
          • A well-organized platform and course structure that makes it easy to plan and progress
          • A respected Cornell credential that students are proud to add to their résumé and recommend to others

          Cornell’s Business Analytics Certificate focuses on the Excel capabilities that show up most often in real business analysis, especially when you need to answer questions quickly and explain your reasoning clearly.

          You will build skills across descriptive, predictive, and prescriptive analytics in areas such as:

          • Cleaning, structuring, and formatting data for analysis, plus text management techniques such as combining, trimming, parsing, and converting ranges into tables
          • Core formulas for analysis, including summary statistics, relative and absolute references, criteria-based calculations, and logic-based tests
          • Essential functions like SUMIF, AVG, V/HLOOKUP, COUNT, PV, RATE, RAND, and PMT
          • Data harvesting and retrieval using lookup and indexing approaches across multiple datasets
          • PivotTables, PivotCharts, and chart selection to communicate insights, along with visual integrity principles for truthful, decision-ready visuals
          • Forecasting and what-if analysis using financial functions, Scenario Manager, Goal Seek, and one- and two-variable data tables, plus basic simulation with randomization
          • Prescriptive optimization using Solver to define objectives, decision variables, and constraints, then interpret answer and feasibility reports
          • Interactive dashboards and data models, including importing data from multiple sources, creating relationships, and adding interactivity with slicers and calculated fields

          The result is a practical toolkit you can apply to common business questions involving performance, profitability, forecasting, and resource allocation.

          Hands-on work in Cornell’s Business Analytics Certificate requires a desktop (PC or Mac) version of Microsoft Excel (2016 or later). Excel for the web and mobile versions are not sufficient for the graded assignments because the program uses features and workflows that rely on the desktop application.

          The program was designed specifically for PC users. You can participate on a Mac, but some Excel features and shortcuts differ between PC and Mac, so Mac users may need external support from their facilitator to navigate those differences while completing assignments.

          Having the right Excel setup from the beginning helps you focus on building analytics skill, not troubleshooting tools, throughout Cornell’s Business Analytics Certificate.

          Cornell’s Business Analytics Certificate is designed to build practical analytics capability in Excel without requiring advanced math or programming. Success is less about calculus and more about being willing to practice structured problem solving with real datasets.

          Some familiarity with Excel will help you move faster, especially when you begin working with larger datasets, PivotTables, what-if analysis tools, and optimization models. The program teaches the concepts you need along the way, including how to structure messy data, apply logic and lookup functions, build forecasts and scenarios, and use Solver to make prescriptive recommendations.

          If you regularly work with reports, budgets, operational metrics, or lists exported from other systems, Cornell’s Business Analytics Certificate is a practical next step for turning that experience into stronger analysis.