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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

    • G

      Google Cloud

      Launching into Machine Learning - 한국어

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

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Français

      Skills you'll gain: Marketing Analytics, Analytics, Customer Analysis, Generative AI, Data Analysis, Customer Insights, Google Cloud Platform, Customer Data Management, Marketing Strategies, Predictive Modeling, Customer Acquisition Management, Forecasting, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Compensation Analysis in Law Firms

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Payroll, Generative AI, Employee Retention

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Docker and Kubernetes for ASP.NET Development

      Skills you'll gain: Cloud-Native Computing, Containerization, Kubernetes, Docker (Software), ASP.NET, .NET Framework, Nginx, CI/CD, Cloud Applications, Development Environment, Application Deployment, YAML, Proxy Servers, Load Balancing, Scalability, Microsoft SQL Servers

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Creating BigQuery Datasets, Visualizing Insights - Français

      Skills you'll gain: Dashboard, Data Visualization Software, SQL, Big Data, Data Import/Export, Data Storage, Database Management Systems, Data Analysis, Google Cloud Platform, Data Management

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Maryland, College Park

      Digital Marketing 2

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka

      Skills you'll gain: Cloud Security, Generative AI, Data Ethics, Information Privacy, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Testability, Maintainability, Open Source Technology, Safety and Security, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation, Data Validation, Data Quality, Data Analysis

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Español

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Exploratory Data Analysis & Core ML Algorithms

      Skills you'll gain: Exploratory Data Analysis, Data Processing, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Regression Analysis, Statistical Modeling, Data Cleansing, Feature Engineering, Supervised Learning, Data Manipulation, Predictive Analytics, Data Visualization

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Deep Learning Models in Python

      Skills you'll gain: Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Text Mining, Applied Machine Learning, Python Programming, Network Architecture

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Data Management with SQL

      Skills you'll gain: MySQL, SQL, Database Design, Database Management, Query Languages, Databases, Data Manipulation, Relational Databases, Data Analysis, Performance Tuning, Software Installation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Text Mining, Unsupervised Learning, Dimensionality Reduction, Bayesian Statistics, Probability & Statistics, Python Programming, Machine Learning, Regression Analysis

      Intermediate · Course · 1 - 3 Months

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

    • Launching into Machine Learning - 한국어: Google Cloud
    • Gemini for Data Scientists and Analysts - Français: Google Cloud
    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
    • Docker and Kubernetes for ASP.NET Development: Packt
    • Creating BigQuery Datasets, Visualizing Insights - Français: Google Cloud
    • Digital Marketing 2: University of Maryland, College Park
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
    • Exploratory Data Analysis & Core ML Algorithms: Packt
    • Natural Language Processing - Deep Learning Models in Python: Packt

    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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