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.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
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.
This course is part of the Unilever Supply Chain Data Analyst Professional Certificate.
Syllabus
Progamming languages: Python and SQL
In this module, you will learn how programming languages such as Python and SQL assist in managing, cleaning, summarizing and manipulating data.Communicating Diagnostic Analytics You will also learn how to use programming languages to create meaningful data visualizations.
Data analytics that drive impactful decision making
Data analytics is the practice of examining data to answer questions, identify trends, and extract insights. In this module, you will focus on the four levels of data anlytics that help answer questions about what happened and why, what might happen in the future, and what are the possible outcomes.
Supply chain models: Inventory, Continuous Flow, Fast Chain
There are several different types of Supply Chain models. Once you know the probem your trying to solve, you can select the type of model that will best help you find a solution. In this module you will learn how use the inventory model to describe inventory policies, inputs and outputs, operations related to inventory management, how to use the continuous flow model to describe the current state and current practices in the business operations to identify opportunities for improvement, and how to use the fast chain model to describe the current state and current practices in the business operations to identify opportunities for improvement.
Supply Chain Models: Efficient Chain, Agile, Custom-Configured, Flexible
There are several different types of Supply Chain models. Once you know the probem your trying to solve, you can select the type of model that will best help you find a solution. In this module you will learn how use the efficient chain model to identify optimal scenarios and best practices that could be translated into other environments, use the agile model to prepare for participating in cross-functional developments driven by the supply chain, use the custom-configured model to prepare cross-functional developments driven by the supply chain with a more flexible infrastructure to new projects or developments, and use the flexible model to build flexible structures and scenario planning.
