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    • Supply Chain Analytics

    Supply Chain Analytics Courses Online

    Study supply chain analytics for improving logistics. Learn to analyze data, optimize processes, and enhance supply chain performance.

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    Explore the Supply Chain Analytics Course Catalog

    • R

      Rutgers the State University of New Jersey

      Global Procurement and Sourcing

      Skills you'll gain: Strategic Sourcing, Supplier Management, Procurement, Supplier Relationship Management, Supplier Performance Management, Negotiation, Vendor Management, Contract Negotiation, Request For Quotation (RFQ), Stakeholder Management, Contract Management, Purchasing, Market Analysis, Supply Management, Request for Proposal, Competitive Analysis, Risk Management, Supply Chain Management, Strategic Partnership, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Key Technologies for Business

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Large Language Modeling, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Artificial Intelligence, Generative AI, Data Ethics, Cloud Storage, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Applied Machine Learning, Data Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Meta Marketing Science Certification Prep

      Skills you'll gain: Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, A/B Testing, Target Audience, Marketing Strategies, Marketing Planning, Statistical Inference, Sampling (Statistics), Data Collection, Data Modeling, Statistics, Advertising Campaigns, Campaign Management, Marketing, Analytics, Google Analytics, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Data Cleansing, Health Information Management, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      264 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Processing, Data Storage, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Collection, Data Mart, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Data Import/Export

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      114K reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Emory University

      Foundations of Marketing Analytics

      Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Descriptive Statistics, Microsoft Excel, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Marketing Effectiveness, Target Market, Social Media, Revenue Forecasting, Time Series Analysis and Forecasting, Predictive Modeling, Statistics, Marketing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      516 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free
      M

      Maven Analytics

      ChatGPT & Generative AI for Data Analytics

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Analysis Expressions (DAX), Power BI, Deep Learning, Excel Formulas, Analytics, Google Sheets, Machine Learning Methods, Large Language Modeling, Microsoft Excel, Artificial Intelligence, Python Programming, SQL, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Meta

      Marketing Analytics Foundation

      Skills you'll gain: Data Collection, Marketing, Marketing Analytics, Google Analytics, Digital Marketing, Application Programming Interface (API), Personally Identifiable Information, Web Analytics, Information Privacy, Data Integration, Analytics, Facebook, Data-Driven Decision-Making, Advertising

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Visualization, Predictive Analytics, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Risk Analysis, Databases, Data Modeling, Data Visualization Software, Data Analysis, Presentations, Decision Making, Business Intelligence, Data Cleansing, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    Supply Chain Analytics learners also search

    Supply Chain
    Supply Chain Management
    Supply Chain Design
    Supply Chain Logistics
    Supply Chain Projects
    Logistics
    Inventory
    Retail
    1…678…238

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

    • Global Procurement and Sourcing: Rutgers the State University of New Jersey
    • Key Technologies for Business: IBM
    • Meta Marketing Science Certification Prep: Meta
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Prepare Data for Exploration: Google
    • Data Analysis and Visualization Foundations: IBM
    • Foundations: Data, Data, Everywhere: Google
    • Foundations of Marketing Analytics: Emory University
    • ChatGPT & Generative AI for Data Analytics: Maven Analytics
    • IBM Data Analytics with Excel and R: IBM

    Frequently Asked Questions about Supply Chain Analytics

    Supply chain analytics is the foundation for making sense of the enormous amounts of data generated by supply chains so that businesses can make solid, data-driven decisions. It has been around for more than a century, but it has evolved dramatically—particularly with all of the technological advances that have been transforming the supply chain industry. It uses a mix of mathematical models, including machine learning and predictive modeling, along with data infrastructure and applications. It's also the foundation for integrating artificial intelligence and other cognitive technologies into the supply chain process. There are four types of supply chain analytics:

    • Predictive analytics helps organizations better understand the likely outcomes of different scenarios. • Descriptive analytics harnesses data visualization to provide answers about what has happened or is currently happening.

    • Cognitive analytics gives organizations the ability to answer complicated, complex questions in easy-to-understand ways. • Prescriptive analytics gives organizations the tools for solving problems and collaborating better to get the most out of their business efforts.‎

    Learning about supply chain analytics empowers you with the skills and tools that you need for demand planning and forecasting, relieving pain points throughout the supply chain, solving inventory challenges, creating logistics strategies, and identifying opportunities—all of which make you a key player in helping businesses succeed and remain competitive. The knowledge and skills that you gain while learning about supply chain analytics aren't limited to just one industry. They apply across the business landscape, including companies ranging from pharmaceuticals to big-box retailers to power companies to government agencies.‎

    There are many careers and jobs that use supply chain analytics, including supply chain analysts, purchasing managers, and sourcing managers. Harvard Business Review estimates that the supply chain in the United States makes up 37% of all jobs in the country—and where there are supply chain jobs, there's a need for solid analytics. You can use your knowledge of supply chain analytics to switch to a new career or advance in your current one. It's a key building block for a variety of jobs, such as these:

    • Operations manager: A hands-on position that involves the direction and coordination of all operations, including producing and distributing products. Reviewing and understanding data is key for figuring out where to cut costs, improve processes, or boost productivity. • Logistics analyst: You'll be constantly analyzing supply chain processes to figure out where they can be optimized and improved while maintaining the databases that house all logistics information. • Supply chain manager: Customer service and safety play a big role in your job in addition to limiting costs and keeping a watchful eye on quotas and forecasts.‎

    Online courses on Coursera provide a mix of classroom learning and hands-on knowledge through a combination of courses and projects to give you comprehensive skills in business intelligence, regression analysis, and managing the supply chain. And at the end, you have a chance to earn a certificate to share with your professional network or potential employers. Course offerings come from a diverse mix of leading global universities and industry leaders. And you're joining a community of more than 71 million learners, all with your shared desire for exploring new fields and expanding your skills and knowledge.‎

    Online Supply Chain Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new Supply Chain Analytics skills. Choose from a wide range of Supply Chain Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Supply Chain 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.

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