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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

      Work with Gemini Models in BigQuery - Español

      Skills you'll gain: Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Applied Machine Learning, Customer Relationship Management, Query Languages

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Learn Tableau and Ace the Tableau Desktop Specialist Exam

      Skills you'll gain: Tableau Software, Data Visualization Software, Interactive Data Visualization, Dashboard, Data Presentation, Scatter Plots, Data Integration, Exploratory Data Analysis, Data Analysis, Data Manipulation, Software Installation, Data Sharing, Data Import/Export

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Einführung in die Datenanalyse in Google Cloud

      Skills you'll gain:

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Exploring Data Transformation with Google Cloud - Português Brasileiro

      Skills you'll gain: Digital Transformation, Data Warehousing, Google Cloud Platform, Data Governance, Looker (Software), Data Transformation, Data Management, Cloud Storage, Big Data, Real Time Data, Data Migration, Business Intelligence, Data-Driven Decision-Making, Data Pipelines

      Beginner · Course · 1 - 3 Months

    • Z

      Zoho Corporation

      Get Ready to Sell: Guided Projects and Portfolio Development

      Skills you'll gain: Sales Process, Sales, Sales Strategy, Customer Relationship Management (CRM) Software, Sales Presentation, Sales Pipelines, Customer Relationship Management, Interviewing Skills, Prospecting and Qualification, Portfolio Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Launching into Machine Learning - Italiano

      Skills you'll gain: Applied Machine Learning, Data Quality, Machine Learning Methods, Machine Learning, Data Cleansing, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Google Cloud Platform, Exploratory Data Analysis, Predictive Modeling, Performance Tuning, Big Data, Sampling (Statistics), Regression Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Español

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery - Português

      Skills you'll gain: SQL, Google Cloud Platform, Data Architecture, Data Security, Performance Tuning, Data Warehousing, Data Manipulation, Data Modeling, Scalability, Data Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Indonesian

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Applied Mathematics, NumPy, Calculus, Numerical Analysis, Advanced Mathematics, Linear Algebra, Data Science, Jupyter, Machine Learning Algorithms, Derivatives, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP - Italiano

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Machine Learning, Predictive Modeling, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

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

    • Work with Gemini Models in BigQuery - Español: Google Cloud
    • Learn Tableau and Ace the Tableau Desktop Specialist Exam: Packt
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Adalet ve Önyargı: Google Cloud
    • Einführung in die Datenanalyse in Google Cloud : Google Cloud
    • Exploring Data Transformation with Google Cloud - Português Brasileiro: Google Cloud
    • Get Ready to Sell: Guided Projects and Portfolio Development: Zoho Corporation
    • Launching into Machine Learning - Italiano: Google Cloud
    • Applying Machine Learning to Your Data with GC - Español: Google Cloud
    • Achieving Advanced Insights with BigQuery - Português: Google Cloud
    • Introduction to AI and Machine Learning on GC - Indonesian: 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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