

Data Science Certificates
Overview And Certificates
Learn techniques to unlock the full potential of your data. Designed for professionals who want to take a more strategic approach to analytics, these certificate programs cover methods and tools for organizing, analyzing, and visualizing complex data. From predictive modeling to Python and more, you can explore practical, hands-on techniques to drive informed decision-making across any industry. Whether you’re new to data science or looking to build on your expertise, these programs will prepare you to solve business challenges with actionable insights.
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- Data Science With SQL and Tableau
- Business Analytics
- Data Analytics
- Data Science
- Data Management in SQL
- Python for Data Science
- Python Programming
- Data Visualization With Tableau
- Data Analytics 360
- Data Science Essentials
- Business Statistics
- Data Ethics
- Data Analytics in R
- Operations Analytics
- Applied Statistics
- Data Science Modeling
- Big Data for Big Policy Problems
- Python 360
- Data Science and Decision Making
- Natural Language Processing With Python
- Machine Learning
- Excel VBA Analytics
- Statistical Foundations
- Marketing Analytics
- HR Analytics
- Supply Chain Analytics
- Probability Analysis
- Querying Relational Databases
- Working with Data Using SQL
- Creating Data Visualizations with Tableau
- Enhancing Data Visualizations with Tableau
- Telling a Data-Driven Story with Tableau
- Data scientists
- Business analysts
- Developers
- Professionals who work with databases or data warehouses
- Marketing analysts
- Career starters
- Getting Started with Spreadsheet Modeling and Business Analytics
- Harvesting Spreadsheet Data
- Visualizing and Communicating Insights In Excel
- Making Predictions and Forecasts with Data
- Using Prescriptive Analytics in Excel
- Creating and Sharing Interactive Data Models
- Leadership Symposium LIVE
- Individuals interested in moving into an analyst role
- Individuals seeking to leverage analytic skills
- Individuals and entrepreneurs who need to visualize data
- Anyone looking for a refresher on using a modern version of Excel
- Managers and executives
- Administrative and executive assistants
- Understanding and Visualizing Data
- Implementing Scientific Decision Making
- Using Predictive Data Analysis
- Analysts
- Functional Managers
- Executives
- Consultants
- Any professional that uses data to make business decisions
- Understanding Data Analytics
- Finding Patterns in Data Using Association Rules, PCA, and Factor Analysis
- Finding Patterns in Data Using Cluster and Hotspot Analysis
- Regression Analysis and Discrete Choice Models
- Supervised Learning Techniques
- Neural Networks and Machine Learning
- Current and aspiring data scientists
- Analysts
- Engineers
- Researchers
- Technical managers
- Exploring Data
- Integrating Data From Multiple Tables
- Extracting Insights From Data
- Fundamentals of Database Design
- Introduction to Scalability and Automation
- Business analysts
- Professionals who work with databases or data warehouses
- Managers using data insights to make business decisions
- Marketing analysts
- Product analysts
- Constructing Expressions in Python
- Writing Custom Python Functions, Classes, and Workflows
- Developing Data Science Applications
- Creating Data Arrays and Tables in Python
- Organizing Data with Python
- Analyzing and Visualizing Data with Python
- Building Predictive Machine Learning Models
- Data analysts and business analysts
- Database managers
- Technical and systems analysts
- Programmers interested in data science
- Marketers
- Business managers
- Python Fundamentals
- User-Defined Functions in Python
- Developing a Currency Converter
- Controlling Program Flow
- Mastering Data Structures
- Auditing Datasets
- Current and aspiring programmers, software developers and engineers
- Current and aspiring web developers
- Computer and data scientists
- Scientists interested in learning programming
- Exploring Data Visualization Techniques
- Creating Professional Data Visualizations
- Creating Map-Based Visualizations
- Developing Advanced Visual Analytics
- Creating Dashboards and Compelling Data Stories
- Business leaders
- Marketing managers
- Brand and product managers
- Accountants and auditors
- Digital marketers
- Data scientists and analysts
- Consultants
- Entrepreneurs
- Understanding and Visualizing Data
- Implementing Scientific Decision Making
- Using Predictive Data Analysis
- Modeling Uncertainty and Risk
- Optimization and Modeling Simultaneous Decisions
- Analysts
- Functional managers
- Executives
- Consultants
- Any professional that uses data to make business decisions
- Exploring Data Sets With R
- Summarizing and Visualizing Data
- Measuring Relationships and Uncertainty
- Data Cleaning With the Tidyverse
- Current and aspiring data scientists and analysts
- Business decision makers
- Marketing analysts
- Consultants
- Executives
- Anyone seeking to gain deeper exposure to data science
- Presenting Quantitative Data
- Descriptive Statistics for Business
- Making Predictions Using Statistical Probability
- Inferential Statistics
- Multivariable Comparisons
- Statistical Forecasting
- Practical Applications of Statistics
- Entry level to executive professionals looking to uncover insights from data
- Students who are pre-MBA or considering earning an MBA
- Individuals interested in moving into an analyst role
- Individuals seeking to leverage statistical or analytic skills
- New, emerging, and experienced leaders
- Consultants
- Analysts and researchers
- Entrepreneurs
- Individual Ethics
- Ethics and the Data Lifecycle
- Integrating Virtue Ethics Into Data Science Practice
- Creating an Ethical Data Science Practice and Workplace
- Data and machine learning scientists
- Data bank managers and curators
- Model and algorithm developers
- Data protection managers and privacy stewards
- Ethics officers
- Statisticians
- IT managers and technology consultants
- Data and business analysts
- Software developers and programmers
- Quality and security engineers
- Compliance professionals
- Lawyers
- Predictive Analytics in R
- Clustering, Classification, and Machine Learning in R
- Prescriptive Analytics in R
- Analysts
- Developers
- Data scientists
- Functional managers
- Consultants
- Any professional that uses data to make business decisions
- Process Performance
- Queuing Analysis
- Inventory Management Analysis
- Decision Support Models for Operations
- Operations leaders
- Team members responsible for building and improving operations processes
- Individual contributors and leaders who build data models to support decision making
- Data analysts
- Anyone seeking foundational quantitative skills through an operations lens
- Data Analysis and Probability
- Decision Analysis
- Continuous Distributions
- Sampling
- Hypothesis Testing
- Simple Regression
- Multiple Regression
- Professionals looking to uncover insights from data
- Students who are pre-MBA or considering earning an MBA
- Analysts and researchers
- Individuals interested in moving into an analyst role
- Anyone seeking to leverage statistical or analytic skills
- Nonlinear Regression Models
- Modeling Interactions Between Predictors
- Foundations of Predictive Modeling
- Ensemble Methods
- Current and aspiring data scientists and analysts
- Business decision makers
- Marketing analysts
- Consultants
- Executives
- Anyone seeking to gain deeper exposure to data science
- Big Data for Big Policy Problems
- High school students interested in data science or social change
- Rising high school seniors
- Students aged 16 and older
- Python Fundamentals
- User-Defined Functions in Python
- Controlling Program Flow
- Mastering Data Structures
- Auditing Datasets
- Developing Data Science Applications
- Creating Data Arrays and Tables in Python
- Organizing Data with Python
- Analyzing and Visualizing Data with Python
- Building Predictive Machine Learning Models
- How to Write Programs That Work With Databases
- How to Develop Web Interfaces With Online Protocols
- How to Create Interactive Websites With HTML and CSS
- Human-Centered Design Essentials
- Designing Slides for Live and Legacy Use
- Engaging Presentation Techniques
- Interpreting and Communicating Data
- Using Statistical Tests to Make Decisions
- Current and aspiring programmers, software developers, and engineers
- Computer and data scientists
- Scientists interested in learning programming
- Data analysts and business analysts
- Database managers
- Technical and systems analysts
- Business managers
- Technical and engineering leaders
- Professionals in any industry who need to communicate and interpret data
- Data Science and Decision Making
- Entry-level to executive professionals looking to uncover insights from data
- Aspiring data professionals from non-STEM backgrounds
- Business decision makers
- Lifelong learners
- People interested in current trends of data modeling for decision making
- Summer and Winter session extramural students
- Natural Language Processing Fundamentals
- Transforming Text Into Numeric Vectors
- Classifying Documents With Supervised Machine Learning
- Topic Modeling With Unsupervised Machine Learning
- Clustering Documents With Unsupervised Machine Learning
- Conducting Semantic and Sentiment Analysis
- Engineers
- Software developers
- Computer scientists new to NLP
- Data scientists
- Analysts
- Researchers
- Linguists
- Problem-Solving with Machine Learning
- Estimating Probability Distributions
- Learning with Linear Classifiers
- Decision Trees and Model Selection
- Debugging and Improving Machine Learning Models
- Learning with Kernel Machines
- Deep Learning and Neural Networks
- Generative AI and Transformer Models
- Linear Algebra: Low Dimension
- Matrix and Linear Algebra: High Dimension
- Programmers
- Developers
- Data analysts
- Statisticians
- Data scientists
- Software engineers
- Automating Processes With Macros and Excel VBA
- Applying Logic for Efficient Task Processing
- Enhancing the Excel User Experience With VBA
- Accessing Advanced Excel Solutions
- Excel users looking to automate tasks
- Business analysts
- Office administrators and managers
- IT and technical support professionals
- Educators and trainers
- Project managers
- Small business owners
- Individuals transitioning to data-driven roles
- Anyone interested in learning a new programming language
- Interpreting and Communicating Data
- Using Statistical Tests to Make Decisions
- Applying Statistical Tests
- Making Predictions With Data Models
- Professionals in any industry who need to communicate and interpret data
- Business managers utilizing analytics or benchmarking and comparison
- Professionals from any business function
- Government workers engaged in policy analysis
- Healthcare professionals
- Anyone who needs to understand the reasoning and language of statistics
- Anyone who wants to get the fundamental concepts of statistics without math or formula emphasis
- Leveraging Customers for Growth
- A/B Testing and Analytics
- Customer Behavior Segmentation Analysis
- Predicting Customer Response
- Driving Growth Through Customer Centricity
- Marketing Symposium LIVE
- Marketers
- Marketing and business analysts
- Managers using data insights to make business decisions
- Essentials of HR Analytics
- Strategic Talent Analytics
- Applied Predictive Analytics in HR
- Valuing HR Initiatives
- HR Symposium LIVE
- HR Associates, Managers and Directors
- Analysts
- CHROs and VPs of HR
- Forecasting Supply Chain Demand
- Optimizing Inventory Management
- Optimizing Production Capacity Allocation
- Supply Chain Finance, Coordination, and Sustainability
- Individuals seeking to increase skills in supply chain strategy
- Operations analysts
- Market analysts for consumer and industrial products
- Consultants seeking supply chain knowledge
- Probability Analysis
- Engineers (mechanical, electrical, software, civil, systems, chemical, biomedical)
- Quality control professionals
- Materials analysts
- Product developers
- Data scientists and analysts
- Aspiring data scientists, product developers, and analysts who seek a foundation in probability theory
- Querying Relational Databases
- Working with Data Using SQL
- Creating Data Visualizations with Tableau
- Enhancing Data Visualizations with Tableau
- Telling a Data-Driven Story with Tableau
- Data scientists
- Business analysts
- Developers
- Professionals who work with databases or data warehouses
- Marketing analysts
- Career starters
- Getting Started with Spreadsheet Modeling and Business Analytics
- Harvesting Spreadsheet Data
- Visualizing and Communicating Insights In Excel
- Making Predictions and Forecasts with Data
- Using Prescriptive Analytics in Excel
- Creating and Sharing Interactive Data Models
- Leadership Symposium LIVE
- Individuals interested in moving into an analyst role
- Individuals seeking to leverage analytic skills
- Individuals and entrepreneurs who need to visualize data
- Anyone looking for a refresher on using a modern version of Excel
- Managers and executives
- Administrative and executive assistants
- Understanding and Visualizing Data
- Implementing Scientific Decision Making
- Using Predictive Data Analysis
- Analysts
- Functional Managers
- Executives
- Consultants
- Any professional that uses data to make business decisions
- Understanding Data Analytics
- Finding Patterns in Data Using Association Rules, PCA, and Factor Analysis
- Finding Patterns in Data Using Cluster and Hotspot Analysis
- Regression Analysis and Discrete Choice Models
- Supervised Learning Techniques
- Neural Networks and Machine Learning
- Current and aspiring data scientists
- Analysts
- Engineers
- Researchers
- Technical managers
- Exploring Data
- Integrating Data From Multiple Tables
- Extracting Insights From Data
- Fundamentals of Database Design
- Introduction to Scalability and Automation
- Business analysts
- Professionals who work with databases or data warehouses
- Managers using data insights to make business decisions
- Marketing analysts
- Product analysts
- Constructing Expressions in Python
- Writing Custom Python Functions, Classes, and Workflows
- Developing Data Science Applications
- Creating Data Arrays and Tables in Python
- Organizing Data with Python
- Analyzing and Visualizing Data with Python
- Building Predictive Machine Learning Models
- Data analysts and business analysts
- Database managers
- Technical and systems analysts
- Programmers interested in data science
- Marketers
- Business managers
- Python Fundamentals
- User-Defined Functions in Python
- Developing a Currency Converter
- Controlling Program Flow
- Mastering Data Structures
- Auditing Datasets
- Current and aspiring programmers, software developers and engineers
- Current and aspiring web developers
- Computer and data scientists
- Scientists interested in learning programming
- Exploring Data Visualization Techniques
- Creating Professional Data Visualizations
- Creating Map-Based Visualizations
- Developing Advanced Visual Analytics
- Creating Dashboards and Compelling Data Stories
- Business leaders
- Marketing managers
- Brand and product managers
- Accountants and auditors
- Digital marketers
- Data scientists and analysts
- Consultants
- Entrepreneurs
- Understanding and Visualizing Data
- Implementing Scientific Decision Making
- Using Predictive Data Analysis
- Modeling Uncertainty and Risk
- Optimization and Modeling Simultaneous Decisions
- Analysts
- Functional managers
- Executives
- Consultants
- Any professional that uses data to make business decisions
- Exploring Data Sets With R
- Summarizing and Visualizing Data
- Measuring Relationships and Uncertainty
- Data Cleaning With the Tidyverse
- Current and aspiring data scientists and analysts
- Business decision makers
- Marketing analysts
- Consultants
- Executives
- Anyone seeking to gain deeper exposure to data science
- Presenting Quantitative Data
- Descriptive Statistics for Business
- Making Predictions Using Statistical Probability
- Inferential Statistics
- Multivariable Comparisons
- Statistical Forecasting
- Practical Applications of Statistics
- Entry level to executive professionals looking to uncover insights from data
- Students who are pre-MBA or considering earning an MBA
- Individuals interested in moving into an analyst role
- Individuals seeking to leverage statistical or analytic skills
- New, emerging, and experienced leaders
- Consultants
- Analysts and researchers
- Entrepreneurs
- Individual Ethics
- Ethics and the Data Lifecycle
- Integrating Virtue Ethics Into Data Science Practice
- Creating an Ethical Data Science Practice and Workplace
- Data and machine learning scientists
- Data bank managers and curators
- Model and algorithm developers
- Data protection managers and privacy stewards
- Ethics officers
- Statisticians
- IT managers and technology consultants
- Data and business analysts
- Software developers and programmers
- Quality and security engineers
- Compliance professionals
- Lawyers
- Predictive Analytics in R
- Clustering, Classification, and Machine Learning in R
- Prescriptive Analytics in R
- Analysts
- Developers
- Data scientists
- Functional managers
- Consultants
- Any professional that uses data to make business decisions
- Process Performance
- Queuing Analysis
- Inventory Management Analysis
- Decision Support Models for Operations
- Operations leaders
- Team members responsible for building and improving operations processes
- Individual contributors and leaders who build data models to support decision making
- Data analysts
- Anyone seeking foundational quantitative skills through an operations lens
- Data Analysis and Probability
- Decision Analysis
- Continuous Distributions
- Sampling
- Hypothesis Testing
- Simple Regression
- Multiple Regression
- Professionals looking to uncover insights from data
- Students who are pre-MBA or considering earning an MBA
- Analysts and researchers
- Individuals interested in moving into an analyst role
- Anyone seeking to leverage statistical or analytic skills
- Nonlinear Regression Models
- Modeling Interactions Between Predictors
- Foundations of Predictive Modeling
- Ensemble Methods
- Current and aspiring data scientists and analysts
- Business decision makers
- Marketing analysts
- Consultants
- Executives
- Anyone seeking to gain deeper exposure to data science
- Big Data for Big Policy Problems
- High school students interested in data science or social change
- Rising high school seniors
- Students aged 16 and older
- Python Fundamentals
- User-Defined Functions in Python
- Controlling Program Flow
- Mastering Data Structures
- Auditing Datasets
- Developing Data Science Applications
- Creating Data Arrays and Tables in Python
- Organizing Data with Python
- Analyzing and Visualizing Data with Python
- Building Predictive Machine Learning Models
- How to Write Programs That Work With Databases
- How to Develop Web Interfaces With Online Protocols
- How to Create Interactive Websites With HTML and CSS
- Human-Centered Design Essentials
- Designing Slides for Live and Legacy Use
- Engaging Presentation Techniques
- Interpreting and Communicating Data
- Using Statistical Tests to Make Decisions
- Current and aspiring programmers, software developers, and engineers
- Computer and data scientists
- Scientists interested in learning programming
- Data analysts and business analysts
- Database managers
- Technical and systems analysts
- Business managers
- Technical and engineering leaders
- Professionals in any industry who need to communicate and interpret data
- Data Science and Decision Making
- Entry-level to executive professionals looking to uncover insights from data
- Aspiring data professionals from non-STEM backgrounds
- Business decision makers
- Lifelong learners
- People interested in current trends of data modeling for decision making
- Summer and Winter session extramural students
- Natural Language Processing Fundamentals
- Transforming Text Into Numeric Vectors
- Classifying Documents With Supervised Machine Learning
- Topic Modeling With Unsupervised Machine Learning
- Clustering Documents With Unsupervised Machine Learning
- Conducting Semantic and Sentiment Analysis
- Engineers
- Software developers
- Computer scientists new to NLP
- Data scientists
- Analysts
- Researchers
- Linguists
- Problem-Solving with Machine Learning
- Estimating Probability Distributions
- Learning with Linear Classifiers
- Decision Trees and Model Selection
- Debugging and Improving Machine Learning Models
- Learning with Kernel Machines
- Deep Learning and Neural Networks
- Generative AI and Transformer Models
- Linear Algebra: Low Dimension
- Matrix and Linear Algebra: High Dimension
- Programmers
- Developers
- Data analysts
- Statisticians
- Data scientists
- Software engineers
- Automating Processes With Macros and Excel VBA
- Applying Logic for Efficient Task Processing
- Enhancing the Excel User Experience With VBA
- Accessing Advanced Excel Solutions
- Excel users looking to automate tasks
- Business analysts
- Office administrators and managers
- IT and technical support professionals
- Educators and trainers
- Project managers
- Small business owners
- Individuals transitioning to data-driven roles
- Anyone interested in learning a new programming language
- Interpreting and Communicating Data
- Using Statistical Tests to Make Decisions
- Applying Statistical Tests
- Making Predictions With Data Models
- Professionals in any industry who need to communicate and interpret data
- Business managers utilizing analytics or benchmarking and comparison
- Professionals from any business function
- Government workers engaged in policy analysis
- Healthcare professionals
- Anyone who needs to understand the reasoning and language of statistics
- Anyone who wants to get the fundamental concepts of statistics without math or formula emphasis
- Leveraging Customers for Growth
- A/B Testing and Analytics
- Customer Behavior Segmentation Analysis
- Predicting Customer Response
- Driving Growth Through Customer Centricity
- Marketing Symposium LIVE
- Marketers
- Marketing and business analysts
- Managers using data insights to make business decisions
- Essentials of HR Analytics
- Strategic Talent Analytics
- Applied Predictive Analytics in HR
- Valuing HR Initiatives
- HR Symposium LIVE
- HR Associates, Managers and Directors
- Analysts
- CHROs and VPs of HR
- Forecasting Supply Chain Demand
- Optimizing Inventory Management
- Optimizing Production Capacity Allocation
- Supply Chain Finance, Coordination, and Sustainability
- Individuals seeking to increase skills in supply chain strategy
- Operations analysts
- Market analysts for consumer and industrial products
- Consultants seeking supply chain knowledge
- Probability Analysis
- Engineers (mechanical, electrical, software, civil, systems, chemical, biomedical)
- Quality control professionals
- Materials analysts
- Product developers
- Data scientists and analysts
- Aspiring data scientists, product developers, and analysts who seek a foundation in probability theory
Data Science With SQL and Tableau
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Business Analytics
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Data Analytics
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Data Science
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Data Management in SQL
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Python for Data Science
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Python Programming
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Data Visualization With Tableau
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Data Analytics 360
| Select Payment Method | Cost |
|---|---|
| $5,699 | |
Data Science Essentials
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Business Statistics
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Data Ethics
| Select Payment Method | Cost |
|---|---|
| $2,999 | |
Data Analytics in R
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Operations Analytics
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Applied Statistics
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Data Science Modeling
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
$3,699
Big Data for Big Policy Problems
| Select Payment Method | Cost |
|---|---|
| $3,699 |
Python 360
| Select Payment Method | Cost |
|---|---|
| $7,999 | |
$3,750
Data Science and Decision Making
| Select Payment Method | Cost |
|---|---|
| $3,750 |
Natural Language Processing With Python
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Machine Learning
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Excel VBA Analytics
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Statistical Foundations
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
Marketing Analytics
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
HR Analytics
| Select Payment Method | Cost |
|---|---|
| $3,900 | |
Supply Chain Analytics
| Select Payment Method | Cost |
|---|---|
| $3,750 | |
$3,900
Probability Analysis
| Select Payment Method | Cost |
|---|---|
| $3,900 |
Explore Other Programs

Unlock the Power of Data
- Learn practical, hands-on data science techniques designed by expert Cornell faculty to drive results across industries.
- Explore cutting-edge topics like predictive analytics, machine learning, Python programming, and big data management.
- Gain actionable insights and master tools to organize, analyze, and visualize complex data.
- Flexible online courses combine academic rigor with real-world relevance, allowing you to learn at your own pace.
- Prepare to solve real-world problems and stay ahead in the rapidly evolving, data-driven landscape.
“It gave me fresh ways to think about data and how to turn it into real, actionable insights.”
“…my course facilitators were extremely knowledgeable and helpful, providing real-time feedback and tips on how to apply concepts in my line of work.”
“Getting the Data Analytics certificate meant a lot to me because my job search process was pretty lengthy, and I felt that when I finally did get the job, I don’t know if that door would have been opened had it not been for the eCornell program. It literally did change my life!”
“I went into this data science program not fully knowing what to expect other than the content aligned with the skills I needed for my career. I was blown away by the thought put into the curriculum, the projects, and the help of expert facilitators. I’ve used other online resources to learn these skills, but until this program, I hadn’t walked away with both the technical skills AND an understanding of how to apply them in real-world scenarios.”
- View testimonial #1
- View testimonial #2
- View testimonial #3
- View testimonial #4
Interested in a Master's Degree?
Cornell’s Master of Science in Business Analytics equips working professionals with the skills today’s employers value most—business fluency, communication, teamwork, and the ability to turn real data into real insights. This STEM-designated program blends rigorous analytics training with business strategy and creative problem-solving, preparing you to lead in the data-driven economy.

