Data Science & ANALYTICS

From data to decision, R is quickly becoming one of the most popular and effective programming languages of data science. In this program, you’ll apply data science tools to the collection of data and the translation of data into information, constructing models that can be used to address the questions that you're investigating. You’ll have the opportunity to apply data analytics as a four-part process: gathering data, looking for patterns in that data, finding insights in any patterns you discover, and using those insights to make decisions. This process does not make decisions for you, but it will help you to better understand the effects of the decisions you might make. Through an examination of real-world data sets and different modeling techniques, as well as an in-depth look at how the programming language R can be used to help you find patterns and derive insights, you will gain valuable experience working in each stage of the data analytics process, helping you and your organization to make better decisions – and gain a sound scientific understanding of why you're making the choices you're making. In order to be successful in this program, you will need to have experience in any programming language, prerequisite knowledge in basic probability and statistics concepts, and college-level calculus. The courses in this certificate program are required to be completed in the order that they appear.

Business problems need solutions based on data, not intuition. Yet most organizations struggle to translate the abundance of data they have today into meaningful business insights. Now more than ever, data analytics, approached with a business management mindset, is an essential function for successful decision -making in every industry. It can help frame problems, create comparisons, forecast outcomes, and make predictions. And the people who can make meaning from data in a way that stakeholders and executives can easily understand often become some of the most valued people in a company. In this certificate program, you will learn effective methods to analyze data and make better, more informed business decisions. Working with Excel as your go-to tool, you will master real-world spreadsheet modeling concepts, examine data cleaning methods to improve accuracy, and explore ways to manage data using Excel’s math and logic capabilities to their full potential. You will get a chance to visualize your data into compelling charts and dashboards to communicate your findings, and make simulated predictions based on what the data reveals. Whether you’re a manager or executive responsible for financial or functional reporting, an analyst, or an entrepreneur, this program will help you develop the kind of mission-critical business analytics skill set that will make you invaluable to any team. Students are required to use a Desktop (PC or Mac) version of Microsoft Excel (2016 or later) to complete some assignments in this program; Excel for Web (Online) and Excel for Mobile will not suffice. Please note that this course was designed specifically for PC users. Students with some familiarity in Excel will be most successful in this program, but those using Microsoft Excel for Mac will likely require external support given the differences inherent to Excel for PC vs. Mac.

In business today, it is crucial to be able to answer relevant questions through data. Whether you’re a career starter looking for applicable skills or a business leader looking for context for your strategy, understanding how your teams store, examine, and utilize data can better set you up for success. In this program, you will discover how to enter data into a well-designed database and interact with it using Structured Query Language (SQL). You’ll begin with subjects related to data rules and database design, where you will explore the different ways to analyze, manipulate, integrate, and extract insights from data. With that foundational knowledge established, you will then delve into the fundamentals of database design and conclude the program with a brief exploration of scalability and automation. Ultimately, by learning how to approach, structure, and solve business problems through the organization and manipulation of data, you will be prepared to put your newfound understanding into practice in your organization and beyond, setting you apart in a competitive business landscape. The courses in this certificate program are required to be completed in the order that they appear.

Proficiency in structured query language (SQL) is fundamental for anyone working with data. Used in organizations large and small, learning SQL will prepare you to quickly query raw data and transform it into meaningful visualizations using tools like Tableau to help you make business decisions. This certificate program is designed to help you analyze data in a relational database and develop your understanding of the relationship between SQL and data visualizations. You will use SQL and fundamental database concepts to create a normalized database, manipulate the data within the database, and extract the data from the database, discovering how to convert business questions into SQL queries that extract answers from your data. After developing your skills working with databases, you will take raw data and create data visualizations using Tableau. You’ll explore a wide variety of charts and learn how to select the best chart to convey the meaning in your data. This combination of being able to both work with and present data to key stakeholders will prepare you to bring value to any data-centric organization. You will be most successful in this program if you have an understanding of basic statistical concepts. System requirements: To complete this course, you will need to install Tableau Desktop Public on your local device. While this software is free, you will need to create an online Tableau Public account to download the Tableau Desktop Public package. You will also need administrative privileges to install this software on your device. Refer to Tableau's System Requirements for up-to-date information on supported devices to check your device compatibility. This program includes a year of free access to Symposium! These events feature several days of live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore the Data Science industry’s most pressing topics. Symposium events are held several times throughout the year. Once enrolled in your program, you will receive information about upcoming events. Throughout the year, you may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete the certificate program.

Data analytics is among today’s fastest-growing and highest-paid professions as organizations increasingly rely on data to drive strategic business decisions. Whether you are gathering data or analyzing it to make recommendations, this certificate is designed to provide functional literacy in critical business analytics. The courses are accessible to learners with fundamental statistical background, yet also structured to provide benefit to analysts who interface directly with raw data. You’ll learn statistical and scientific methods for data analysis through hands-on exercises and video instruction from Cornell University faculty expert Chris Anderson, preparing you to make sound, evidence-based decisions that drive business performance in any function. Students with familiarity in statistics and excel will be most successful in this program. The courses in this certificate program are required to be completed in the order that they appear.

Data science is one of today’s most in-demand functions — and Python is an essential skill in any data scientist’s toolbox. In this program, you will master the ability to analyze and visualize data in meaningful ways using Python to help solve complex business problems. Working with tools such as Jupyter Notebooks, NumPy, and Pandas, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data. You will gain experience using both built-in and custom-built data types to create expressive and computationally robust data science projects. Finally, you will build predictive machine learning models using Python and scikit-learn. To be successful in this program you should have prior programming experience with a procedural language. Our Python Programming certificate program is a great option if you have less experience. The amount of time you spend in these courses will depend on your prior experience. These courses are designed to be taken in order as the concepts build upon each other throughout the program. The courses in this certificate program are required to be completed in the order that they appear.

Translating complex data into clear, impactful visuals is essential for decision making in today’s data-driven landscape. Organizations seek professionals who can transform raw numbers into compelling stories that inspire understanding and action. In this certificate program, you will build a strong foundation in visualization principles then advance your skills using Tableau to design accurate and engaging graphics. You’ll explore fundamental, geographic, and advanced visualization techniques, mastering how to present complex information clearly and persuasively. Through hands-on projects, you’ll discover how to create interactive dashboards and persuasive data narratives tailored to your audience’s needs. By completing this certificate, you will be prepared to deliver professional visualizations and insights that influence strategy and drive results across any industry. The courses in this certificate program are required to be completed in the order that they appear. System requirements: To complete this certificate program, you will need to install Tableau Desktop Public on your local device. While this software is free, you’ll need to create an online Tableau Public account to download the Tableau Desktop Public package. You‘ll also need administrative privileges to install this software on your device. Refer to Tableau's System Requirements for up-to-date information on supported devices to check your device compatibility.

Data analytics is among today’s fastest-growing and highest-paid professions, as organizations increasingly rely on data to drive strategic business decisions. This certificate is designed to expand your analytical capabilities and take your strategic decision making to the next level. These courses will delve into more advanced techniques in prescriptive analytics including optimization and modeling. In these additional targeted courses, you’ll learn how prescriptive analytics allows you to not only predict what will happen, but suggest actions for achieving predicted outcomes based on the interdependent effects of multiple decisions. Through hands-on exercises and video instruction from Cornell University faculty expert Chris Anderson, you’ll learn how to combine data visualization, predictive models, and prescriptive analytics to increase the accuracy of your predictions and make better, more agile business decisions. Whether you’re an analyst or a senior executive, this certificate is designed to enhance functional literacy in critical business analytics and take your decision making to the next level. You’ll learn scientific methods for data analysis and visualization and gain a more complete understanding of risk and probability, using statistical models to optimize outcomes for complex—and often simultaneous—business decisions. This program utilizes Microsoft Excel and you will need to have access to Microsoft Excel to successfully complete the course requirements. The courses in this certificate program are required to be completed in the order that they appear.

In recent years, the field of data science has taken off, as every industry and function increasingly relies on data-driven insights to make decisions. The statistical programming language R is widely used in data science and understanding the fundamentals of how it works can be helpful, whether you’re considering a career in data science or looking to better communicate with data scientists on your team. In this certificate program, you will develop an essential foundation in R programming skills, then use those skills to understand and summarize data. In the first course, you will study R programming principles and use R for data manipulation, visualization, and sampling. Building on your skills, you will summarize and visualize real data sets, draw conclusions from those data, and evaluate the uncertainty surrounding those conclusions. Throughout the process, you will develop hypotheses about your data, then use simulations and statistical techniques to evaluate your hypotheses. You will also practice using the Tidyverse open-source R packages to clean and organize your data sets. Finally, you will have the opportunity to manipulate and visualize data using more advanced techniques. This certificate will ultimately introduce you to the fundamentals of data science and enhance your ability to draw meaningful conclusions from data. System requirements: This course contains a virtual programming environment that is compatible with Chrome, Firefox, or Internet Explorer. The courses in this certificate program are required to be completed in the order that they appear.

Leading organizations understand the value of data: it can transform operations, maintain agility, and create a competitive edge. Without it, you’re flying blind. Yet in order to integrate data into your decision-making processes, you need a set of tools to transform raw data into a valuable asset. The primary tool set every data-driven decision maker needs is statistics. As the foundation of any data-driven decision, statistics helps you make sense of your data. This certificate program is designed to help you not only gain a strong working knowledge of statistical concepts but also the ability to apply them to your data to make better business decisions. Experience creating basic Excel functions and charts is needed to successfully complete this certificate. Familiarity with Excel PivotTables is useful, but not required. This program includes a year of free access to Symposium! These events feature several days of live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore the Data Science industry’s most pressing topics. Symposium events are held several times throughout the year. Once enrolled in your program, you will receive information about upcoming events. Throughout the year, you may participate in as many sessions as you wish. Attending Symposium sessions is not required to successfully complete the certificate program.

Data is the driving force behind the digital revolution, yet the challenge lies in refining that data to inform impactful decisions and address complex societal questions. This certificate program empowers you to navigate this critical process through data-driven strategies. You will discover how to use Python to transform questions into precise mathematical formulations and conduct computational analyses using powerful libraries. By setting up optimization models and designing algorithms, you will gain the ability to compute optimal solutions for varied scenarios. This approach will provide new perspectives on addressing global challenges. As you apply these data-driven methods, you’ll generate actionable outcomes and recommendations applicable in real-time situations. Upon completing this program, you will possess the skills to confidently leverage data for informed decision making, ready to make a significant impact in your field. You’ll have six months to complete the required elements for this certificate program, but this flexible approach allows you to finish sooner based on your schedule.

R is now considered one of the most popular analytics tools in the world. In this certificate program you will develop the skill set necessary to perform key aspects of data science efficiently. The courses cover the application of core analytics concepts in the R programming environment to allow a scalable implementation. You’ll learn techniques for manipulating and visualizing data, describing data through descriptive statistics, and clustering. You’ll extend these basic reporting approaches through classification and predictive analytics using traditional parametric models (regression and logistic regression) as well as machine learning techniques. In addition, you’ll develop linear, nonlinear, and Monte Carlo decision-making models that will allow you to make more informed decisions. To be successful in this program, it is recommended that students have a background in predictive and prescriptive data analytics, specifically with optimization, modeling, and Monte Carlo simulations, in addition to a familiarity with programming syntax. The courses in this certificate program are required to be completed in the order that they appear.

In a world where data is key to business operations and decision making, understanding how to collect the right data and provide precise and clear insights to your teams and stakeholders is crucial. In this certificate program, you will turn data into actionable information to make better business decisions. You’ll uncover the patterns and trends hidden within various types of data so that you can effectively share these insights with stakeholders. You'll learn to determine the best ways to represent different data types while discovering how to apply probability principles through modeling, sampling, and regression analysis. The fundamental analytical skills you gain will not only substantiate your business choices but also enable you to predict future outcomes and opportunities for your business. You will have six months to complete the required elements for this certificate program, but this flexible approach allows you to finish sooner based on your schedule.

In today's data-driven world, advanced data modeling techniques are essential for enabling informed decision making and strategic planning. This certificate program is designed to help you understand predictive modeling, with a focus on making accurate predictions using various types of data. Throughout this program, you will explore models such as polynomial regression, splines, and generalized additive models. These models are used to analyze complex relationships within datasets that may include both numerical and categorical variables. You’ll also gain practical skills in building models using R, which will allow you to examine how different types of information can be combined to make predictions. You will have the opportunity to practice modeling interactions between different types of data, such as categories and numbers, and use decision trees to understand complex relationships that linear models are unable to capture. By the end of the program, you’ll be able to create and evaluate predictive models, equipping you with valuable skills for decision making in a variety of industries. To be successful in this course, you should have a foundation in R programming and be able to leverage those skills to create and summarize datasets with visualizations, interpret data, employ simulations, use linear regression, clean data, and create visualizations. Experience with R will be critical to success as we don't explicitly teach how to use R in this certificate. High school-level or college-level math and algebra are also recommended. If you do not have this experience, start with the Data Science Essentials certificate program. You’ll have six months to complete the required elements for this certificate program, but this flexible approach allows you to finish sooner based on your schedule.

Data scientists have the power to alter the lives of millions of people. With this tremendous responsibility, they also face great pressure from colleagues and stakeholders to maximize results, productivity, and team cooperation. In this certificate program, you will build sophisticated ethical reasoning skills that are essential for professionals working with data in today’s workplace. First, you’ll determine the sources of your own ethics and identify the subtle "micro-ethics" issues that occur every day. Then, through case studies and real-life scenarios, you’ll learn how to appropriately respond to and correct these issues. Throughout the program, you will explore the interplay between daily ethical data choices and global issues including fairness, justice, privacy, and consent. You will also integrate existing principles, practices, and codes of conduct with the “virtue ethics” framework. Finally, you will apply these skills to the use of low-stakes mechanisms to raise ethical concerns and foster ethics in the workplace. By the end of this program, you will be prepared to balance stakeholder concerns with the impact of your work and continue building a purposeful, ethical framework to guide you in your role and beyond. For the best experience in this program it is recommended to take these courses in the order that they appear.

Effective data-driven analysis in your teams requires decision support tools that can aid you in making strategic managerial choices for your organization. Having the ability to design these tools can set you apart and provide the foundation for smart operational decisions in your organization. This program provides you with the skills to analyze performance in three key areas of operations management: process analysis, queueing analysis, and inventory analysis. Through this program, you will use process and queueing analysis concepts and design solutions in Microsoft® Excel to calculate metrics that can be used to evaluate the performance of current processes within your organization. You’ll also assess different methods to manage inventory and determine when and how to use them. Finally, you’ll be introduced to new approaches to aid decision making in operations settings: optimization, Monte Carlo simulation, and decision trees. By the end of this program, you’ll have the skills to analyze operations in your organization and enable your teams to make better decisions. To be successful in this program, you should have basic knowledge of probability and statistics, including confidence intervals and basic algebra. You should also have intermediate knowledge of Excel formulas and functions, including, but not limited to, creating graphs, nesting functions, sorting, and linking. You’ll have six months to complete the required elements for this certificate program, but this flexible approach allows you to finish sooner based on your schedule.

Supply chain analytics is an essential tool for organizations to improve efficiency and gain a competitive advantage. How can you optimize this area of your business? In this program, you will be introduced to analytical methods for supply chain demand forecasting, inventory optimization, and production capacity allocation. You will also have the opportunity to explore advanced topics in supply chain finance, coordination strategies, and sustainability. These topics will be accompanied by practical Excel tools and activities designed to help you apply the concepts to your role and beyond. By bridging the gap between concepts and practice, you will set your team up for success in today’s ever-changing market. To be successful in this program, fundamental Excel skills (writing simple formulas and creating basic graphs) and basic knowledge of statistical analysis are essential. The courses in this certificate program are required to be completed in the order that they appear.

Data is transforming how governments, researchers, and organizations understand complex social challenges and evaluate public policy. In this certificate program, you will learn how to apply data science techniques to analyze issues such as income inequality, educational opportunity, public health, and criminal justice, using data to better understand these challenges and inform policy decisions. Throughout the program, you will use the R programming language and the RStudio development environment to analyze real-world datasets, perform statistical analyses, and create data visualizations that communicate meaningful insights. Along the way, you'll examine how data can be used to measure inequality, evaluate policy outcomes, and identify patterns across economic, demographic, and social issues. By the end of the program, you will be prepared to analyze large public datasets, communicate findings through data visualization, and apply data-driven insights to support policy analysis and decision making. To be successful in this program, you should have access to a New York Times subscription. You will have six months to complete the program, with the flexibility to progress at your own pace and finish sooner if your schedule allows.

Are you spending hours analyzing Excel spreadsheets, searching for insights? With Visual Basic for Applications (VBA), you can streamline repetitive tasks and make data analysis faster and more efficient. In this certificate program, you will develop skills in Excel programming and VBA to make better business decisions and improve operational processes. Throughout the courses, you will gain the skills needed to automate tasks, enhance productivity, and manipulate data effectively. As you progress from recording and running Excel macros to writing your own VBA code, you will make decisions using conditional statements, create user-defined functions, and design user forms. You will practice combining these skills in a variety of ways to create unique business solutions for any task using Excel workbooks. By the conclusion of the program, you will be equipped to customize Excel functionality to your needs and unlock new possibilities in data management. Please note: This certificate requires Microsoft Excel for Windows. You must have access to a Windows version to successfully complete the program. Microsoft Excel for Mac does not offer the comprehensive VBA functionality necessary to complete the program. The courses in this certificate program are required to be completed in the order that they appear.

HR has always been about people, and this remains true today. However, given the rapid digital transformation in today’s organizations, the need for data-driven decision making has become essential. There is both a shortage of analytical talent within HR and an increasing demand for these types of skills. In this certificate program, you will learn to analyze, and visualize HR data to inform decisions and recommendations. You will strengthen your analytical acumen to make decisions through analysis and enhance your communication effectiveness through storytelling with data and credible insights. Through the application of data analytics you will be positioned to examine common HR challenges around hiring top talent, engaging the workforce, managing retention, and evaluating workforce diversity more rigorously. You will also apply a cost-based approach to determine the business impact and return on investment associated with HR initiatives. By the end of this program, you will have developed the strategic and systematic measures necessary to excel in HR analytics. This program includes two full years of free access to the HR Symposium! These highly interactive virtual events span multiple days and explore today’s most pressing topics. Symposium offers exclusive opportunities to engage in real-time discussions with your eCornell community, applying insights from your courses to real-world scenarios. Through reflections and small-group discussions, you’ll deepen your learning, broaden your perspective, and expand your professional network. Symposium events are held throughout the year, providing ongoing opportunities to stay engaged, gain fresh perspectives, and strengthen your skills. Once enrolled, you’ll receive access to the Symposium networking site and details about upcoming sessions. You can participate in as many as you’d like to make the most of your experience, though attendance is not required to complete your program.

Machine learning is emerging as today’s fastest-growing career as the role of automation and AI expands in every industry and function. Cornell’s Machine Learning certificate program equips you to implement machine learning algorithms using Python. You will use a combination of math and intuition to practice framing machine learning problems and construct a mental model to understand how data scientists approach these problems programmatically. Through investigation and implementation of k-Nearest Neighbors, naive Bayes, regression trees, and others, you’ll explore a variety of machine learning algorithms and practice selecting the best model, considering key principles of how to implement those models effectively. You’ll also gain the skills to work with advanced generative models, including transformers, to create and refine both text and image outputs. In addition, you’ll have an opportunity to implement algorithms on live data while practicing debugging and improving models through approaches such as ensemble methods and support vector machines. Finally, the coursework will explore the inner workings of neural networks and how to construct and adapt neural networks for various types of data. This program uses Python and the NumPy library for code exercises and projects. Projects will be completed using Jupyter Notebooks. Machine learning is complex. While you do not need to have machine learning experience in order to take the program, we strongly recommend having prior experience in math, including familiarity with Python, probability theory, statistics, multivariate calculus, and linear algebra. This certificate program includes two self-paced lessons covering the linear algebra computations used in the Machine Learning curriculum. You may refer to these lessons at any time before or during your Machine Learning program. Check your readiness with this free pretest now. The courses in this certificate program are required to be completed in the order that they appear.

There’s an abundance of textual information in the world, and more is being created each day. Working with this vast amount of text is a significant challenge for humans, as it would be impossible for individuals to read millions of web search queries, product descriptions, emails, and articles. The answer is natural language processing (NLP). NLP solutions continue to expand, with more and more applications in machine learning and beyond being discovered every day. Organizations employ NLP for textual analysis and classification as well as more advanced tasks such as writing, coding, and reasoning. In this certificate program, you’ll cover the fundamentals of NLP, including how to teach a computer where a word starts and ends, as well as more advanced skills like how to program a computer to determine what sentences mean. Throughout the courses, you’ll have the opportunity to implement numerous string and text processing techniques, work with machine learning algorithms to determine how similar documents are to one another, and train machine learning models to optimize the extraction of meaningful data from documents. While gaining valuable practice with Python functions and expressions, you will also master the ability to process text using NLP-specific packages, including Natural Language Tool Kit (NLTK), Gensim, spaCy, regex, and SentenceTransformers, that can be used to extend Python’s power. By the end of the program, you will have the theoretical basis and technical expertise to apply NLP in the workplace, to your innovations, and beyond. In order to be successful in this program, students should have a working knowledge of Python programming as well as college-level knowledge of linear algebra and statistics. The courses in this certificate program are required to be completed in the order that they appear.

The world is full of possibilities, but how likely are any of them to occur? Immerse yourself in probability theory and discover how to evaluate the likelihood of different outcomes in a variety of real-life circumstances. You will get started by examining the different methods for describing and representing data, including the basic axioms that form the core of probability. You will then explore real-world applications and discover how engineers and scientists use random variables and associated analytical functions to quantify the likelihood of various outcomes from experiments, monitoring efforts, and observation. You will gain experience using discrete random variables, when the number of possible outcomes can be counted, as well as continuous random variables, when the number of possible outcomes is infinite. You will also explore data transformation and several kinds of probability distributions for counts, waiting times, and the joint probability of two or more related variables. Toward the end of the program, you will apply what you have studied and investigate ways of modeling and predicting variability and patterns in data, leading to normal, lognormal, Gumbel, and Weibull distributions. As part of your Cornell certificate experience, you have the opportunity to participate in our new AI Workshops product. With 6 months of complimentary access to live AI Workshops, you’ll augment your certificate with 3-hour Zoom sessions led by Cornell faculty and designed to deliver immediately applicable experience and strategic perspectives. Note: You will need a working knowledge of algebra and univariate calculus prior to enrolling and will need to get access to the course’s textbook, the ninth edition of “Probability and Statistics for Engineering and the Sciences” by Jay Devore. We suggest you obtain the book prior to the start of the course and consider the interactive “eTextbook” version, available for purchase online or from other retailers.

Python is one of today’s most popular programming languages, with versatile uses across fields such as data science, software development, machine learning, and AI. As you complete the Python 360 Certificate program, you will gain an end-to-end understanding of the language and its adaptability to different applications and complex challenges. Throughout the core courses of the program, you will design, code, test, visualize, analyze, and debug Python functions and programs. As you discover how to write in and use Python, you will also develop essential techniques that will help you become a successful programmer, analyst, or software engineer, regardless of which language you are using. After completing your foundational courses, you will have the opportunity to choose two electives that align your personal areas of interest with applicable skills and frameworks in areas ranging from user-centered design, to statistics, to communication. Ultimately, you’ll come away with not only the technical skills to grow your career in a technical field or function, but also with the exceptional problem-solving ability that will set you apart in any industry. For the best experience in this program it is strongly recommended to take these courses in the order that they appear. Students must be comfortable with pre-calculus, basic algebra, and tinkering with their computer.

Python is one of today’s most popular and fast-growing programming languages, with applications in data science, software development, machine learning, and AI. This certificate program follows a rigorous, user-centric approach to software engineering with Python. Its goal is not simply to teach you how to use Python, but rather to understand the core principles of Python and develop the ability to become a proficient Python programmer and software developer. You will design, code, test, visualize, analyze, and debug Python functions and programs. You will also be provided a robust set of tools to assist you in your coursework. Additionally, the program includes two project-based courses that provide the opportunity to take the concepts you learn in programming and apply them by designing Python-based solutions to real-world business problems. Ultimately, you’ll come away with not only the technical skills to grow in the field of computer science, but the problem-solving ability and creativity that companies are increasingly looking for. You will be most successful in this program if you are comfortable with pre-calculus, basic algebra, trying new things and troubleshooting with your computer. You will also be expected to download and install Anaconda and a Python code editor in the first course. The courses in this certificate program are required to be completed in the order that they appear.

In today’s data-driven world, you can’t afford to be the only one at the table who lacks analytical knowledge. This certificate program is designed for professionals who need to elevate their ability to communicate about data with colleagues — without becoming math mavens or Excel experts. In the program, you will first strengthen your statistical vocabulary and understanding of quantitative fundamentals. Then you will use that foundation and critical tools to evaluate the validity of statistical summaries and choose statistical tests that meet your business needs. Finally, you will experiment with reporting, employ resources to interpret real-world data, and create meaningful presentations that tell the stories behind the numbers. After completing the program, you’ll possess a more analytical mindset and increased confidence in using data to drive performance and decision-making in your organization. The courses in this certificate program must be completed in the order they appear.

eCornell online Workshops are live, interactive learning experiences lasting 1 to 4 hours and 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 may 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 allows you to customize your AI journey and stay on top of the latest AI trends. Hosted by Cornell faculty at the forefront of their fields, Workshops cover a range of cutting-edge AI topics applicable across industries. Workshops are offered at three levels to allow you to choose topics that match your experience. AI Foundations These Workshops introduce core AI concepts, terminology, capabilities, limitations, and practical applications. No prior AI experience is required. Best for: Beginners, AI-curious professionals, and teams starting their AI journey. AI in Practice ​​​​​​​These Workshops focus on practical skills, workflows, and strategies that help participants use AI more effectively in their day-to-day work. Some familiarity with AI tools is recommended. Best for: Professionals who have experimented with AI and want to build confidence and capability. AI Leadership and Transformation ​​​​​​​These advanced Workshops explore emerging technologies, strategic implementation, governance, organizational impact, and specialized applications. AI fluency is expected, and some Workshops may have prerequisites. Best for: AI leaders, transformation teams, executives, and advanced practitioners.

Transform fragmented AI experiments into enterprise-grade systems using proven MLOps frameworks. Master deployment strategies, monitoring systems, and reproducible pipelines that ensure your AI investments deliver reliable, measurable business value at scale.

Move beyond AI pilots to enterprise transformation with proven frameworks for navigating market disruption, organizational resistance, and the strategic shifts reshaping entire industries. Discover why AI transformation is bigger than most leaders imagine and harder than they expect, then build an actionable roadmap to accelerate systematic adoption across your organization.

Transform your team's AI approach from simple chatbot queries to sophisticated autonomous workflows. Learn proven frameworks for building agent systems that plan, execute, and iterate toward business outcomes while maintaining human oversight. Convert scattered productivity gains into systematic competitive advantages that scale across your organization.

Transform your professional communications with frameworks that blend human-centered storytelling and strategic AI integration. Gain ready-to-use prompts and narrative structures that immediately boost engagement while preserving the authenticity your audience demands from high-stakes messaging.

Transform your hiring processes from biased, manual bottlenecks into an AI-optimized talent pipeline. Learn exactly where AI enhances interview accuracy versus where it creates friction. You will leave with a concrete roadmap to implement these tools strategically within your organizational constraints while preserving essential human connections.

Traditional job descriptions fail in an AI-driven candidate marketplace where résumé gaming is rampant. This Workshop provides talent acquisition professionals with practical tools to revolutionize job description effectiveness, creating machine-readable yet human-appealing content that drives both candidate quality and employer brand differentiation across competitive markets. 

Traditional performance reviews are plagued by recency bias and subjectivity, yet AI adoption risks damaging the employee experience. This workshop teaches HR leaders exactly where AI excels and where it struggles in performance management — providing concrete strategies to enhance review quality while maintaining workforce trust and engagement.

With the emergence of AI technology, HR's mandate is shifting from automation to orchestrating the complete "human-machine handshake" across enterprises. This workshop provides senior HR executives with venture capital insights, 2026 forecasts, and practical frameworks for leading workforce redesign — moving from experimentation to implementation of enterprise-wide human-AI partnerships and agentic governance. 

Stop using AI reactively and start embedding it systematically into product workflows that accelerate discovery, definition, and delivery. Learn to integrate AI tools across the full PM lifecycle while maintaining critical judgment and accountability that defines strong product craft.

Transform your marketing team's AI experimentation into systematic deployment. Learn how to build and deploy production-grade AI agents using no-code tools, moving from "black box" confusion to measurable business results in marketing operations.

AI agents are transforming contract review and compliance, but when can you trust their outputs? Gain practical skills to evaluate AI performance, design control frameworks, and implement safe deployment strategies for legal and regulatory workflows.

Master AI governance before regulation forces your hand. Build practical frameworks for risk management, cross-functional alignment, and scalable deployment that protect your organization while accelerating results. Experience Level: Skill Building

Most AI implementations fail because workflows aren't ready for automation. Master the frameworks to identify AI-ready processes, avoid costly mistakes, and build strategic roadmaps that deliver measurable impact. 

Evolve your skills from basic AI prompts to building intelligent agents that scale your productivity. This hands-on Workshop teaches you to automate email triage, research, and administrative tasks using proven frameworks.

Move beyond AI demos to build enterprise-grade agents that pass security reviews and audits. Learn production-ready architecture, risk controls, and monitoring systems using real frameworks your engineering teams can deploy immediately.

Transform LLMs from generic chatbots into pipeline-driving tools by creating reusable lead-scoring systems and personalized outreach strategies that turn frontier AI into high-performance sales drivers. Discover hands-on techniques to diagnose your sales process, build context-rich frameworks, and implement scalable AI workflows that deliver measurable pipeline acceleration and higher conversion rates.

Combine proven decision frameworks with practical AI applications to accelerate high-stakes choices, eliminate decision fatigue, and secure stakeholder buy-in through uncertainty. Build a Living AI Context Engine that organizes project knowledge, pressure-test critical assumptions, and translate complex decisions into trust-building narratives that drive alignment and decisive action.

Use AI frameworks for copyright trademark, and licensing decisions.

Cornell’s Master of Science in Business Analytics program is designed from the ground up to uniquely prepare working professionals seeking to build a career in analytics with the skills employers desire most: a comprehensive understanding of the language and concepts of business, strong communication and teamwork skills, and the ability to apply the tools of data science to real problems and real data. By earning a STEM.org-certified MSBA from Cornell, you will acquire a powerful blend of business knowledge, rigorous analytics training, and creative problem-solving abilities.

Today’s complex environments demand leaders who can translate unstructured data into executive-level insight. Cornell’s Executive Master of Science in Data Science for Public Policy (EMSDSP) is an interdisciplinary, executive master’s degree designed for professionals across the public, private, and nonprofit sectors. Through a flexible hybrid format, you will learn to align emerging technology with your organization’s goals, strengthen forecasting, and drive measurable transformation in a volatile, uncertain world.