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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
      Free
      N

      National Taiwan University

      用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))

      Skills you'll gain: Statistical Visualization, Matplotlib, Web Scraping, Business Logic, Machine Learning, Operational Analysis, Business Analytics, Python Programming, Programming Principles, Business Economics, User Interface (UI) Design, Computational Thinking, UI Components, Object Oriented Programming (OOP), Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 3 Months

    • T

      The Chinese University of Hong Kong

      China Strategy

      Skills you'll gain: Strategic Thinking, Business Strategy, Strategic Partnership, Competitive Analysis, Go To Market Strategy, Market Opportunities, Global Marketing, E-Commerce, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      158 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentos de las Ventas y el Marketing con Goldman Sachs 10,000 Women

      Skills you'll gain: Marketing Effectiveness, Marketing, Sales Process, Marketing Strategies, Business Marketing, Sales Strategy, Marketing Planning, Value Propositions, Sales, Digital Marketing, Marketing Analytics, Brand Management, Business Metrics, Goal Setting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      161 reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Azure Monitoring and Analytics Fundamentals

      Skills you'll gain: System Monitoring, Microsoft Azure, Event Monitoring, Query Languages, Application Performance Management, Cloud Management, Continuous Monitoring, Real Time Data, Interactive Data Visualization, Virtual Machines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Data Ingestion, Exploration & Visualization in Qlik Sense

      Skills you'll gain: Data Visualization Software, Data Modeling, Dashboard, Data Literacy, Interactive Data Visualization, Data Storytelling, Data Manipulation, Data Transformation, Data Cleansing, Data Import/Export, Data Analysis, Data Quality, Key Performance Indicators (KPIs)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      W

      Whizlabs

      Exam Prep DP-600: Microsoft Fabric Analytics Engineer

      Skills you'll gain: Power BI, Microsoft Azure, Data Lakes, Data Analysis Expressions (DAX), Azure Synapse Analytics, Data Modeling, Data Governance, Data Warehousing, Microsoft SQL Servers, Data Analysis, Extract, Transform, Load, Data Integration, Data Import/Export, Real Time Data, Data Transformation, Data Management, Data Architecture, Data Pipelines, Role-Based Access Control (RBAC), Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • O

      O.P. Jindal Global University

      Machine Learning for Marketing

      Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Google Analytics, Search Engine Optimization, Applied Machine Learning, Data Ethics, Data Mining, Customer Insights

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Microsoft

      Visualization for Data Analysis with Power BI

      Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Geospatial Information and Technology, Root Cause Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      SAP

      SAP Business Analyst

      Skills you'll gain: User Story, Business Process Modeling, Risk Analysis, Performance Measurement, Stakeholder Management, Process Analysis, Business Analysis, Risk Management, Requirements Elicitation, Requirements Management, Process Mapping, Stakeholder Engagement, Business Systems Analysis, Business Risk Management, Gap Analysis, Enterprise Risk Management (ERM), Stakeholder Communications, Business Requirements, User Requirements Documents, Requirements Analysis

      Beginner · Professional Certificate · 3 - 6 Months

    • E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Pipelines, Apache Hadoop, Data Processing, Real Time Data, Big Data, Data Visualization, Distributed Computing, Natural Language Processing, Pandas (Python Package), Data Manipulation, Feature Engineering, Machine Learning, Machine Learning Algorithms, SQL, Data Transformation, Supervised Learning, Text Mining

      2.9
      Rating, 2.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Regression Analysis, R Programming, Exploratory Data Analysis, Business Analytics, Statistical Analysis, Predictive Analytics, Unsupervised Learning, Machine Learning, Data Analysis, Classification And Regression Tree (CART), Data Mining, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    Supply Chain Analytics learners also search

    Supply Chain
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    Supply Chain Design
    Supply Chain Logistics
    Supply Chain Projects
    Logistics
    Inventory
    Retail
    1…117118119…243

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

    • 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3)): National Taiwan University
    • China Strategy: The Chinese University of Hong Kong
    • Fundamentos de las Ventas y el Marketing con Goldman Sachs 10,000 Women: Goldman Sachs
    • Azure Monitoring and Analytics Fundamentals: Microsoft
    • Data Ingestion, Exploration & Visualization in Qlik Sense: Coursera Instructor Network
    • Exam Prep DP-600: Microsoft Fabric Analytics Engineer: Whizlabs
    • Machine Learning for Marketing: O.P. Jindal Global University
    • Visualization for Data Analysis with Power BI: Microsoft
    • SAP Business Analyst: SAP
    • PySpark for Data Science: Edureka

    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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