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Data Science Certificate Programs

Developed by Cornell’s expert faculty, our flexible online certificate programs cover today’s most relevant data science concepts and strategies. From data science essentials to python programming, all courses are rich with examples, timely discussions and projects to help you apply your learning to real-world challenges and opportunities.

Courses:

  • Nonlinear Regression Models
  • Modeling Interactions Between Predictors
  • Foundations of Predictive Modeling
  • Ensemble Methods

Who Should Enroll:

  • Current and aspiring data scientists and analysts
  • Business decision makers
  • Marketing analysts
  • Consultants
  • Executives
  • Anyone seeking to gain deeper exposure to data science

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Courses:

  • Data Analysis and Probability
  • Decision Analysis
  • Continuous Distributions
  • Sampling
  • Hypothesis Testing
  • Simple Regression
  • Multiple Regression

Who Should Enroll:

  • 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

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Courses:

  • Income Inequality and Intergenerational Mobility
  • Impact of Racial-Ethnic Segregation on Education and Neighborhood Inequality
  • Social and Economic Impact of the Early COVID-19 Pandemic
  • Crime and Incarceration

Who Should Enroll:

  • Aspiring data scientists and analysts
  • Policy, business, and finance analysts
  • Social science researchers
  • Government program managers
  • Program evaluators
  • City and regional planners
  • Public sector professionals

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Courses:

  • Forecasting Supply Chain Demand
  • Optimizing Inventory Management
  • Optimizing Production Capacity Allocation
  • Supply Chain Finance, Coordination, and Sustainability

Who Should Enroll:

  • Individuals seeking to increase skills in supply chain strategy
  • Operations analysts
  • Market analysts for consumer and industrial products
  • Consultants seeking supply chain knowledge

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Courses:

  • Process Performance
  • Queuing Analysis
  • Inventory Management Analysis
  • Decision Support Models for Operations

Who Should Enroll:

  • 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

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Courses:

  • Exploring Data
  • Integrating Data From Multiple Tables
  • Extracting Insights From Data
  • Fundamentals of Database Design
  • Introduction to Scalability and Automation

Who Should Enroll:

  • Business analysts
  • Professionals who work with databases or data warehouses
  • Managers using data insights to make business decisions
  • Marketing analysts
  • Product analysts

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Courses:

  • Individual Ethics
  • Ethics and the Data Lifecycle
  • Integrating Virtue Ethics Into Data Science Practice
  • Creating an Ethical Data Science Practice and Workplace

Who Should Enroll:

  • 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

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Courses:

  • 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

Who Should Enroll:

  • Current and aspiring data scientists
  • Analysts
  • Engineers
  • Researchers
  • Technical managers

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Courses:

  • Exploring Data Sets With R
  • Summarizing and Visualizing Data
  • Measuring Relationships and Uncertainty
  • Data Cleaning With the Tidyverse

Who Should Enroll:

  • Current and aspiring data scientists and analysts
  • Business decision makers
  • Marketing analysts
  • Consultants
  • Executives
  • Anyone seeking to gain deeper exposure to data science

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Courses:

  • 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

Who Should Enroll:

  • Data scientists
  • Business analysts
  • Developers
  • Professionals who work with databases or data warehouses
  • Marketing analysts
  • Career starters

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Courses:

  • 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

Who Should Enroll:

  • Data analysts and business analysts
  • Database managers
  • Technical and systems analysts
  • Programmers interested in data science
  • Marketers
  • Business managers

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Courses:

Core Courses
  • Creating Data Visualizations with Tableau
  • Enhancing Data Visualizations with Tableau
  • Telling a Data-Driven Story with Tableau
  • Leadership Symposium  
    LIVE
Elective Courses (1 Course)
  • Planning and Delivering Effective Presentations
  • Problem-Solving Using Evidence and Critical Thinking
  • Strategic Decision Making
  • Building Compelling Slide Decks and Reports

Who Should Enroll:

  • Business and data analysts
  • Managers and executives
  • Marketers
  • Developers
  • Product managers
  • Consultants
  • Anyone who works with data
  • Graphic artists

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Courses:

  • Predictive Analytics in R
  • Clustering, Classification, and Machine Learning in R
  • Prescriptive Analytics in R

Who Should Enroll:

  • Analysts
  • Developers
  • Data scientists
  • Functional managers
  • Consultants
  • Any professional that uses data to make business decisions

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Courses:

  • Presenting Quantitative Data
  • Descriptive Statistics for Business
  • Making Predictions Using Statistical Probability
  • Inferential Statistics
  • Multivariable Comparisons
  • Statistical Forecasting
  • Practical Applications of Statistics

Who Should Enroll:

  • 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

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Courses:

  • 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

Who Should Enroll:

  • Programmers
  • Developers
  • Data analysts
  • Statisticians
  • Data scientists
  • Software engineers

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Courses:

  • 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

Who Should Enroll:

  • 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

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Courses:

  • Understanding and Visualizing Data
  • Implementing Scientific Decision Making
  • Using Predictive Data Analysis
  • Modeling Uncertainty and Risk
  • Optimization and Modeling Simultaneous Decisions

Who Should Enroll:

  • Analysts
  • Functional managers
  • Executives
  • Consultants
  • Any professional that uses data to make business decisions

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Courses:

  • Understanding and Visualizing Data
  • Implementing Scientific Decision Making
  • Using Predictive Data Analysis

Who Should Enroll:

  • Analysts
  • Functional Managers
  • Executives
  • Consultants
  • Any professional that uses data to make business decisions

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Courses:

  • Leveraging Customers for Growth
  • A/B Testing and Analytics
  • Customer Behavior Segmentation Analysis
  • Predicting Customer Response
  • Driving Growth Through Customer Centricity
  • Marketing Symposium  
    LIVE

Who Should Enroll:

  • Marketers
  • Marketing and business analysts
  • Managers using data insights to make business decisions

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How It Works