In the Using Data Analytics in Supply Chain course, you’ll explore the importance of data governance, and learn the fundamental concepts surrounding data. You’ll also learn the tools and processes employed in supply chain analytics, enabling you to gather, analyze, synthesize, validate, and interpret data-driven insights. This ensures that products are efficiently delivered to their destination in a timely and cost-effective manner.

By the end of this course, you’ll be able to: Explain the importance of data governance and adhere to data governance policies. Define data analysis objectives, formulate questions, pinpoint data sources, and implement effective data gathering techniques. Conduct data analysis by applying calculations, summarizations, averages, and classification of information to answer the identified data analysis objectives and questions. Identify how to use SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data. Differentiate between various scenarios and construct simulations to evaluate outcomes. Use data visualization to present insights effectively to decision-makers.

In the Implementing Supply Chain Analytics: Descriptive, Diagnostic, Predictive and Prescriptive course, you’ll discover how implementing analytical methods, models, and tools helps decision-making become more efficient. You’ll use different types of methods, models, and tools, depending on specific business scenarios or needs, to help you analyze the current state of the supply chain and to lead you to insightful solutions. You’ll also explore the utilization of supply chain models to evaluate and question the data to optimize the flow of goods, information, and cost in a supply chain to help identify potential improvements, determine the most efficient or practical course of action, and to communicate the impact to the customer.

By the end of this course, you’ll be able to: Interpret historical data effectively using descriptive analytics. Forecast the most probable outcomes, projects, or future. scenarios, along with their business implications, using predictive analytics. Collaborate and make recommendations that maximize business value, addressing problems through prescriptive analytics. Describe the appropriate communication channels to display and summarize the data results and Supply Chain recommendations. Use supply chain models to evaluate and optimize the flow of goods, information, and sots with a supply chain.

In the Supply Chain Software Tools course, you’ll learn about the challenges of handling large amounts of data and how to effectively gather, analyze, and use the data. You’ll learn about the latest cutting-edge technological solutions that can streamline operations, and emerging trends (such as artificial intelligence) that allow large amounts of data to be processed and summarized instantly. Additionally, you’ll prepare for a job as a supply chain analyst by building your resume, learning how to market yourself and gain insights into the job research and application process.

By the end of this module, you’ll be able to: Recognize supply chain emerging trends. Describe the software tools available for supply chain analytics such as cloud-based solutions, AI-powered projections, advanced analytics, data lakes, and database management. Explain how to access real-time insights, review inventory availability and movement, replenish schedules, and review historical data. Identify how to build accurate plans and forecasts for planning, data collection, validation, aggregation, and financial consolidation. Identify how to test assumptions with scenarios to assist with forecasting decision making. Optimize supply chain operations. Identify patterns and trends in supply chain data and streamline processes. Prepare for a job as a Supply Chain Analyst.