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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

    • T

      Technical University of Munich (TUM)

      Strategic Supply Chain Management in Turbulent Times

      Skills you'll gain: Supply Chain Management, Supply Chain, Inventory Management System, Supply Chain Planning, Transportation, Supply Chain, and Logistics, Supplier Management, Logistics, Business Metrics, Operational Performance Management, Cost Reduction, Performance Measurement, Business Technologies, Forecasting, Competitive Analysis, Risk Analysis, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      SAS Programmer

      Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Consolidation, Data Transformation, Requirements Analysis, Exploratory Data Analysis, Data Validation, Statistical Programming, Statistical Analysis, Data Processing, SQL, Data Presentation, Data Cleansing, Descriptive Statistics, Debugging

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Supply Chain & Operations

      Skills you'll gain: Process Mapping, Operations Management, Process Analysis, Process Improvement, Revenue Management, Business Modeling, Supply Chain Management, Business Process, Organizational Structure, Supply Chain Planning, Supply Management, Business Operations, Project Design, Strategic Thinking, Materials Management, Business Strategy, Business Strategies, Inventory Management System, Strategic Decision-Making, Competitive Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      41 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Software, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.7K reviews

      Beginner · Course · 1 - 3 Months

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Looker (Software), Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Access, Data Warehousing, Supervised Learning, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Indian School of Business

      Trading Strategies in Emerging Markets

      Skills you'll gain: Financial Statements, Peer Review, Financial Statement Analysis, Financial Trading, Balance Sheet, Portfolio Management, Data Collection, Market Liquidity, Market Data, Investment Management, Financial Analysis, Performance Analysis, Financial Market, Market Dynamics, Project Design, Market Analysis, Business Planning, Securities Trading, Performance Measurement, Technical Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Omnichannel Retail Strategy

      Skills you'll gain: Human Capital, Employee Retention, Workforce Development, Employee Training, Talent Management, Digital Transformation, Organizational Strategy, Human Resources, Employee Engagement, Supply Chain Management, E-Commerce, Customer experience strategy (CX), Supply Chain, Brand Strategy, Analytics, Brand Management, Business Analytics, Marketing Strategies, Customer Insights, Brand Loyalty

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Specialization · 1 - 3 Months

    • V

      Vanderbilt University

      Generative AI for Educators & Teachers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Verification And Validation, Ideation, Data Validation, Creative Problem-Solving, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Innovation, Brainstorming, OpenAI, Game Design, Data Analysis, Organizational Skills, Artificial Intelligence, Risk Management Framework, Education Software and Technology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • L

      LearnQuest

      Fundamentals of Machine Learning for Supply Chain

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Programming Principles, Python Programming, Applied Machine Learning, Plot (Graphics), Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      37 reviews

      Beginner · Course · 1 - 4 Weeks

    Supply Chain Analytics learners also search

    Supply Chain
    Supply Chain Management
    Supply Chain Design
    Supply Chain Logistics
    Supply Chain Projects
    Logistics
    Inventory
    Retail
    1…222324…239

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

    • Strategic Supply Chain Management in Turbulent Times: Technical University of Munich (TUM)
    • SAS Programmer: SAS
    • Supply Chain & Operations: Fundação Instituto de Administração
    • Introduction to Probability and Data with R: Duke University
    • Introduction to Data Analysis Using Excel: Rice University
    • Get Started with Python: Google
    • From Data to Insights with Google Cloud: Google Cloud
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Trading Strategies in Emerging Markets: Indian School of Business
    • Omnichannel Retail Strategy: University of Pennsylvania

    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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