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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: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Digital Marketing Capstone

      Skills you'll gain: Keyword Research, Email Marketing, Digital Marketing, Marketing Analytics, Online Advertising, Performance Analysis, Consumer Behaviour, Marketing Strategies, Key Performance Indicators (KPIs), Web Analytics and SEO, Search Engine Optimization, Web Content, Customer Analysis, Advertising Campaigns

      4.5
      Rating, 4.5 out of 5 stars
      ·
      600 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      ADP Entry-Level Compensation and Benefits Analyst

      Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Job Evaluation, Benefits Administration, Data Collection, Compensation and Benefits, Job Analysis, Data-Driven Decision-Making, Microsoft Excel, Project Management, Data Analysis, Google Sheets, Human Resource Policies, Regulatory Compliance, Labor Compliance, Human Resource Strategy, Payroll, Human Resources, Timelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Power BI for Beginners: Build your First Report

      Skills you'll gain: Data Transformation, Power BI, Data Manipulation, Data Cleansing, Data Processing, Dashboard, Data Presentation, Data Import/Export, Interactive Data Visualization, Data Visualization Software, Business Intelligence, Data Storytelling, Data Modeling, Business Reporting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      72 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad de los Andes

      Introducción a la ciencia de datos aplicada

      Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Data Modeling, Statistical Modeling, Design Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      400 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Statistical Methods, Data Analysis, Data Processing, Computer Vision, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      220 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      Introduction to Machine Learning on AWS

      Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Artificial Intelligence, Image Analysis, Computer Vision, Text Mining, Machine Learning, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      138 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, File Systems, Linux, Job Control Language (JCL), Command-Line Interface, Performance Tuning, Computer Architecture

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      139 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supplier Management

      Skills you'll gain: Supplier Management, Procurement, Supplier Relationship Management, Supplier Performance Management, Vendor Management, Strategic Sourcing, Contract Management, Risk Management, Supply Chain Management, Business Ethics, Quality Assessment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      239 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Inventory Management

      Skills you'll gain: Inventory Management System, Inventory Control, Customer Demand Planning, Supply Chain Management, Demand Planning, Service Level, Forecasting, Cost Management, Operations Research, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      194 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

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

      Mixed · Course · 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…596061…248

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

    • Digital Marketing Capstone: University of Illinois Urbana-Champaign
    • ADP Entry-Level Compensation and Benefits Analyst: Automatic Data Processing, Inc. (ADP)
    • Power BI for Beginners: Build your First Report: Coursera Project Network
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Introducción a la ciencia de datos aplicada: Universidad de los Andes
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Introduction to Machine Learning on AWS: Amazon Web Services
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Supplier Management: Rutgers the State University of New Jersey
    • Innovations in Investment Technology: Artificial Intelligence: University of Michigan

    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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