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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

    • J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.4
      Rating, 3.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Meta

      Prepare for the Meta Marketing Science Certification Exam

      Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Registration, Statistical Methods, Digital Marketing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization with OpenAI API: Generate code with GenAI

      Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization Software, OpenAI, ChatGPT, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      PepsiCo

      PepsiCo: Water Stewardship

      Skills you'll gain: Water Resources, Environment and Resource Management, Environment, Corporate Sustainability, Stakeholder Engagement, Hydraulics, Civil Engineering, Environmental Laws, Natural Resource Management, Strategic Planning, Governance, Strategic Thinking, Forecasting, Environmental Science, Environmental Social And Corporate Governance (ESG), Quantitative Research, Supply Chain Management, Environmental Engineering, Supply Chain, Economics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Information Extraction from Free Text Data in Health

      Skills you'll gain: Text Mining, Unstructured Data, Health Informatics, Natural Language Processing, Data Mining, Deep Learning, Machine Learning, Medical Terminology, Artificial Neural Networks, Supervised Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Understanding Large Language Models in Business

      Skills you'll gain: Large Language Modeling, Trend Analysis, Real Time Data, Analytics, OpenAI, Business Marketing, Prompt Engineering, Business Strategy, Application Programming Interface (API), Business Modeling, Generative AI, ChatGPT, Technology Roadmaps, Software Development, Natural Language Processing, Artificial Neural Networks, Content Marketing, Artificial Intelligence, Customer experience improvement

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Data Understanding and Visualization

      Skills you'll gain: Matplotlib, Seaborn, Data Visualization, Data-Driven Decision-Making, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

      Skills you'll gain: Dataflow, Data Warehousing, Data Pipelines, Big Data, Google Cloud Platform, Data Processing, Query Languages, Data Import/Export, Data Analysis, SQL, Scalability, Data Transformation, Data Manipulation, Serverless Computing, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      Researcher's guide to omic fundamentals

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality, Data Validation

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Launching into Machine Learning en Français

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Applied Machine Learning, Data Quality, Data Cleansing, Machine Learning, Supervised Learning, Google Cloud Platform, Regression Analysis, Sampling (Statistics), Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Certificado: Google Cloud Digital Leader

      Skills you'll gain: Digital Transformation, Cloud Security, Real Time Data, Cloud Management, Serverless Computing, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Containerization, Cybersecurity, Cloud Storage, Hybrid Cloud Computing, Data Warehousing, Looker (Software), Big Data, Data Security, Data Transformation, Business Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      19 reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      From Data To Decision With AI

      Skills you'll gain: Statistical Methods, Data Presentation, Regression Analysis, Generative AI, Data Literacy, Statistical Analysis, Data-Driven Decision-Making, Technical Communication, Probability & Statistics, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Predictive Analytics, Data Storytelling, Box Plots, Analytical Skills, Artificial Intelligence, Plot (Graphics), Forecasting

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 1 - 3 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…162163164…243

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

    • Applied Machine Learning: Johns Hopkins University
    • Prepare for the Meta Marketing Science Certification Exam: Meta
    • Data Visualization with OpenAI API: Generate code with GenAI: Coursera Project Network
    • PepsiCo: Water Stewardship: PepsiCo
    • Information Extraction from Free Text Data in Health: University of Michigan
    • Understanding Large Language Models in Business: Coursera Instructor Network
    • Data Understanding and Visualization: University of Colorado Boulder
    • Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro: Google Cloud
    • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
    • Launching into Machine Learning en Français: Google Cloud

    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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