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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

    • M

      Meta

      Python Data Analytics

      Skills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Data Processing, Matplotlib, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      194 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Analytics, Business Analytics, Data Storage, Data Management, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Health Information Literacy for Data Analytics

      Skills you'll gain: Data Governance, Data Quality, Data Integration, Data Dictionary, Data Validation, Health Informatics, Data Modeling, Extract, Transform, Load, Health Systems, Data Management, Metadata Management, Data Compilation, Health Care, Analytics, Data Mapping, Healthcare Industry Knowledge, Data Analysis, Health Information Management, Data Cleansing, Taxonomy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      264 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      ESSEC Business School

      Strategic Business Analytics

      Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Business Marketing, Advanced Analytics, Marketing Strategies, Statistical Analysis, Complex Problem Solving, Analytics, Business Analysis, Data Synthesis, Data Analysis, Data Storytelling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.3K reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Data Visualization Software, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Statistical Analysis, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Mining, Data Processing, Statistical Analysis, Databases, NoSQL, Database Management Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      887 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      DeepLearning.AI Data Analytics

      Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Dashboard, Pandas (Python Package), Interactive Data Visualization, Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Statistical Modeling, Matplotlib, Data Manipulation, Data Visualization Software, Data Validation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      186 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Sports Performance Analytics

      Skills you'll gain: Forecasting, Statistical Methods, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Predictive Modeling, Matplotlib, Applied Machine Learning, Kinesiology, Injury Prevention, Statistical Machine Learning, Analytics, Data Analysis, Statistical Analysis, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      255 reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Applying Data Analytics in Finance

      Skills you'll gain: Time Series Analysis and Forecasting, Portfolio Management, Financial Forecasting, Financial Analysis, Analytics, Financial Trading, Financial Market, Performance Analysis, Statistical Analysis, Investment Management, Risk Management, Regression Analysis, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      216 reviews

      Intermediate · 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…91011…238

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

    • Python Data Analytics: Meta
    • Introduction to Data Analytics for Business: University of Colorado Boulder
    • Health Information Literacy for Data Analytics: University of California, Davis
    • Strategic Business Analytics: ESSEC Business School
    • IBM Data Management: IBM
    • IBM Data Analytics with Excel and R: IBM
    • Big Data: University of California San Diego
    • Getting Started with Data Analytics on AWS: Amazon Web Services
    • DeepLearning.AI Data Analytics: DeepLearning.AI
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: 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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