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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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Sector Investing

      Skills you'll gain: Investments, Portfolio Management, Risk Management, Equities, Securities Trading, Market Trend, Performance Analysis, Stock Rotation, Business Economics, Market Dynamics, Market Analysis

      Beginner · Course · 1 - 4 Weeks

    • P

      Pohang University of Science and Technology(POSTECH)

      Cryptocurrency and Applications

      Skills you'll gain: Blockchain, FinTech, Market Trend, Cryptography, Digital Assets, Payment Systems, Financial Market, Financial Systems, Financial Services, Market Analysis

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Using Custom Fields in Looker Explores

      Skills you'll gain: Looker (Software), Ad Hoc Analysis, Dashboard, Data Analysis, Exploratory Data Analysis, Data Literacy

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Innovating with Data and Google Cloud בעברית

      Skills you'll gain: Digital Transformation, Google Cloud Platform, Big Data, Looker (Software), Cloud Computing, Machine Learning, Analytics, Data Management, Data Lakes, Unstructured Data, Innovation, Business Intelligence, Data-Driven Decision-Making, Customer experience improvement, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Business and Consumer Activity and Confidence (US)

      Skills you'll gain: Financial Trading, Market Dynamics, Business Economics, Market Trend, Market Intelligence, Consumer Behaviour, Economics, Financial Market, Supply And Demand, Investments, Financial Data, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Product Recommender System: OpenAI Text Embedding

      Skills you'll gain: AI Personalization, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Text Mining, Pandas (Python Package), Applied Machine Learning, Interactive Data Visualization, Python Programming, Scikit Learn (Machine Learning Library), Dimensionality Reduction, NumPy

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Dataflow: Qwik Start - Templates

      Skills you'll gain: Real Time Data, Dataflow, Data Pipelines, Command-Line Interface, Google Cloud Platform, Databases, Operational Databases, Data Processing, Big Data

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Enhancing Customer Insights with Generative AI

      Skills you'll gain: Big Data, Generative AI, Customer Insights, Data Processing, Market Research, Data Science, Market Analysis, Marketing Analytics, Data-Driven Decision-Making, Consumer Behaviour, Predictive Analytics, Business Strategy

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      How to Create and Explore a Data Set

      Skills you'll gain: Data Visualization, Plot (Graphics), Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology

      Beginner · Course · 1 - 3 Months

    • P

      Packt

      120 Quick Stata Tips

      Skills you'll gain: Stata, Scripting, Graphing, Data Visualization Software, Data Manipulation, Statistical Analysis, Data Analysis, Data Management, Statistical Programming, Data Transformation, Debugging, Data Import/Export, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Predict Taxi Fare with a BigQuery ML Forecasting Model

      Skills you'll gain: Big Data, Predictive Modeling, Google Cloud Platform, Applied Machine Learning, Data Processing, Forecasting

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Impacto de la IA en la Innovación de Negocios

      Skills you'll gain: Innovation, Entrepreneurship, Artificial Intelligence, New Product Development, Business Transformation, Business Modeling, Business Strategies, Emerging Technologies, Digital Transformation, Prototyping, Organizational Change, Algorithms, Big Data, Machine Learning

      Intermediate · Course · 1 - 3 Months

    Supply Chain Analytics learners also search

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    1…208209210…248

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

    • Sector Investing: Interactive Brokers
    • Cryptocurrency and Applications : Pohang University of Science and Technology(POSTECH)
    • Using Custom Fields in Looker Explores: Google Cloud
    • Innovating with Data and Google Cloud בעברית: Google Cloud
    • Business and Consumer Activity and Confidence (US): Interactive Brokers
    • Product Recommender System: OpenAI Text Embedding : Coursera Project Network
    • Dataflow: Qwik Start - Templates: Google Cloud
    • Enhancing Customer Insights with Generative AI: Coursera Instructor Network
    • How to Create and Explore a Data Set: American Psychological Association
    • 120 Quick Stata Tips: 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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