• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Operations Analytics

    Operations Analytics Courses Online

    Explore operations analytics for improving business processes. Learn to use data analytics for decision-making in operations management.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Operations Analytics Course Catalog

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Data Science, Statistical Analysis, Descriptive Statistics, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Pipelines, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • E

      ESSEC Business School

      Strategic Business Analytics

      Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Business Marketing, Advanced Analytics, Marketing Strategies, Statistical Analysis, Complex Problem Solving, Analytics, Business Analysis, Data Synthesis, Data Analysis, Data Storytelling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.3K reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Data Warehousing, Relational Databases, Decision Support Systems, Business Intelligence, Data Modeling, Database Management Systems, Databases, Dashboard, Business Process Management, SQL, Star Schema, Data Governance, Data Integration, Oracle Databases, Performance Measurement, Extract, Transform, Load, Business Analytics, MicroStrategy, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.1K reviews

      Advanced · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Plot (Graphics), Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      256 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Data Wrangling, Large Language Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Data Import/Export, Exploratory Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      86K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Network Security, Threat Management, Incident Response, Vulnerability Management, Computer Security Incident Management, Hardening, Intrusion Detection and Prevention, Cyber Threat Intelligence, Cyber Attacks, Cybersecurity, Network Protocols, Professional Networking, Vulnerability Assessments, Bash (Scripting Language), Operating Systems, Security Controls, Debugging, Interviewing Skills, Python Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google Digital Marketing & E-commerce

      Skills you'll gain: Media Planning, Search Engine Marketing, Email Marketing, Data Storytelling, Social Media Strategy, Search Engine Optimization, Social Media Marketing, Content Creation, Order Fulfillment, Google Ads, Professional Networking, Online Advertising, A/B Testing, Social Media Campaigns, Digital Advertising, E-Commerce, Customer Retention, Customer Relationship Management, Campaign Management, Interviewing Skills

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Process Mapping, Process Optimization, Requirements Management, Risk Management, Business Requirements, Stakeholder Management, Work Breakdown Structure, Scope Management, Process Analysis, Stakeholder Engagement, Data Visualization Software, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Operations Analytics learners also search

    Operations Management
    Operations Research
    Business
    Management
    Business Management
    Business Development
    Project Management
    Business Projects
    1234…341

    In summary, here are 10 of our most popular operations analytics courses

    • IBM Data Analyst: IBM
    • Data Analysis with Python: IBM
    • Python for Data Science, AI & Development: IBM
    • Strategic Business Analytics: ESSEC Business School
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Data Science: Johns Hopkins University
    • Sports Performance Analytics: University of Michigan
    • IBM Data Science: IBM
    • IBM Generative AI Engineering: IBM
    • Google Cybersecurity: Google

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about Operations Analytics

    Operations Analytics is the practice of using data and quantitative methods to improve the efficiency and effectiveness of operational processes within an organization. It involves analyzing large sets of data to gain insights that can be used for making informed decisions, optimizing resources, and streamlining operations. Operations Analytics can be applied in various industries such as manufacturing, logistics, healthcare, finance, and more, to achieve better performance, reduce costs, increase productivity, and improve customer satisfaction.‎

    To excel in Operations Analytics, you should consider acquiring the following skills:

    1. Data Analysis: Develop a strong understanding of data analysis techniques and tools, such as statistical analysis, data visualization, and predictive modeling. Proficiency in SQL, Excel, and statistical software (e.g., R or Python) will be beneficial.

    2. Business Intelligence (BI) Tools: Familiarize yourself with popular BI tools like Tableau, Power BI, or QlikView. These tools facilitate data visualization and reporting, enabling you to communicate insights effectively.

    3. Supply Chain Management: Gain knowledge of supply chain processes and concepts. Understand how data analytics can enhance supply chain performance, optimize inventory, and improve forecasting accuracy.

    4. Operations Research: Familiarize yourself with optimization techniques utilized in Operations Research, such as linear programming, queuing theory, and simulation. Knowledge of optimization software, such as CPLEX or GAMS, would be advantageous.

    5. Data Mining: Learn techniques for data extraction, cleaning, and transformation. Familiarize yourself with machine learning algorithms like decision trees, clustering, and regression to extract valuable insights from large datasets.

    6. Process Mapping and Improvement: Understand process mapping techniques like value stream mapping or business process modeling. Acquire knowledge of Lean Six Sigma principles to identify and streamline operational inefficiencies.

    7. Project Management: Develop project management skills to effectively execute analytics projects. Being able to handle data-driven projects from scoping to implementation is crucial.

    8. Communication and Presentation: Being able to effectively communicate complex findings and insights is essential. Work on your presentation skills to convey data-driven insights to diverse stakeholders.

    Continuous learning and staying updated with the latest tools and techniques in Operations Analytics is vital for professional growth. Consider joining online courses, training programs, or participating in workshops to enhance your skills in this field.‎

    With Operations Analytics skills, you can secure various job roles in the field of data analysis and operations management. Some potential job opportunities include:

    1. Operations Analyst: As an Operations Analyst, you will analyze and optimize business processes, identify inefficiencies, and provide insights to improve operational strategies.

    2. Supply Chain Analyst: In this role, you'll use Operations Analytics skills to analyze supply chain data, optimize inventory management, forecast demand, and improve overall supply chain performance.

    3. Business Intelligence Analyst: As a Business Intelligence Analyst, you'll collect and analyze operational data, create reports and visualizations, and provide valuable insights to assist in making data-driven business decisions.

    4. Data Analyst: In this position, you'll gather and analyze data, create models, build dashboards, and provide actionable insights to support operational improvements and decision-making processes.

    5. Process Improvement Consultant: With your operations analytics skills, you can work as a consultant, helping organizations identify and improve operational inefficiencies, streamline processes, and optimize resource allocation.

    6. Operations Manager: As an Operations Manager, you'll leverage operations analytics to make data-driven decisions, optimize workflows, manage resources effectively, and ensure smooth operations for an organization.

    7. Logistics Analyst: In this role, you'll use operations analytics to analyze transportation data, optimize routes, reduce costs, and improve overall logistics and supply chain operations.

    8. Inventory Analyst: As an Inventory Analyst, you'll utilize operations analytics to analyze inventory data, optimize stock levels, minimize carrying costs, and ensure efficient inventory management.

    9. Quality Analyst: With operations analytics skills, you can work as a Quality Analyst, analyzing operational data to identify areas for quality improvement, implementing quality control procedures, and ensuring product/service excellence.

    10. Project Manager: As a Project Manager, your operations analytics skills will enable you to monitor project progress, optimize resource allocation, and make data-driven decisions to ensure successful project outcomes.

    These are just a few examples of the wide range of job opportunities available to individuals with Operations Analytics skills. Depending on your specific interests and industry, you can find opportunities in sectors such as finance, healthcare, manufacturing, e-commerce, and more.‎

    People who are analytical, detail-oriented, and have a strong interest in problem-solving and data analysis are best suited for studying Operations Analytics. This field requires individuals who can effectively analyze and interpret data to optimize business operations and make informed decisions. Additionally, having a background in mathematics, statistics, or computer science can be beneficial for studying Operations Analytics.‎

    Some topics related to Operations Analytics that you can study include:

    1. Data analysis and visualization: This topic covers the basics of collecting, cleaning, analyzing, and visualizing data to gain insights into operational processes.

    2. Supply chain management: Understanding how to optimize and manage the flow of goods, services, and information from suppliers to customers is crucial for efficient operations.

    3. Forecasting and demand planning: Learning about forecasting methodologies and techniques helps businesses predict future demand and plan their operations accordingly.

    4. Optimization and simulation: This topic focuses on mathematical models and algorithms to optimize operational processes, allocate resources efficiently, and simulate real-life scenarios.

    5. Inventory management: Studying how to determine optimal inventory levels, reorder points, and safety stock can significantly improve a company's operations and profitability.

    6. Business process management: This area emphasizes the understanding and improvement of operational processes through techniques like process mapping, analysis, and redesign.

    7. Quality management and Six Sigma: Learning about quality concepts, statistical process control, and Six Sigma methodologies helps businesses enhance the quality and efficiency of their operations.

    8. Project management: Understanding project management principles and methodologies can be valuable in overseeing and optimizing various projects within an organization.

    9. Predictive analytics and machine learning: Exploring predictive models and machine learning algorithms enables organizations to make data-driven decisions and optimize operational performance.

    10. Business analytics tools and software: Familiarizing yourself with popular business analytics tools, such as Excel, Tableau, Python, or R, can enhance your ability to analyze data and derive meaningful insights for operational improvement.

    Remember, these are just a few topics, and there is a wide range of subtopics and specializations within Operations Analytics that you can explore further based on your specific interests and career goals.‎

    Online Operations Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new Operations Analytics is the practice of using data and quantitative methods to improve the efficiency and effectiveness of operational processes within an organization. It involves analyzing large sets of data to gain insights that can be used for making informed decisions, optimizing resources, and streamlining operations. Operations Analytics can be applied in various industries such as manufacturing, logistics, healthcare, finance, and more, to achieve better performance, reduce costs, increase productivity, and improve customer satisfaction. skills. Choose from a wide range of Operations Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Operations Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok