Implementing Supply Chain Analytics
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Implementing Supply Chain Analytics
This course is part of Unilever Supply Chain Data Analyst Professional Certificate
Instructor: Unilever Team
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Skills you'll gain
- Predictive Analytics
- SQL
- Analytics
- Supply Chain Planning
- Predictive Modeling
- Data-Driven Decision-Making
- Technical Communication
- Statistical Programming
- Descriptive Analytics
- Business Analytics
- Data Presentation
- Supply Chain
- Data Analysis
- Supply Chain Systems
- Agile Methodology
- Inventory and Warehousing
- Forecasting
- Supply Chain Management
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Unilever
There are 4 modules in this course
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 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.
What's included
16 videos6 readings3 assignments1 discussion prompt
16 videos•Total 91 minutes
- Welcome to supply chain data analyst professional certificate•5 minutes
- Welcome to implementing supply chain analytics: Descriptive, diagnostic, predictive and prescriptive•2 minutes
- Programming languages•4 minutes
- Introduction to Python and SQL•5 minutes
- The difference between Python and SQL•7 minutes
- When to use SQL•5 minutes
- Use basic commands to query data for summarization•10 minutes
- Filter out "noise" from available information•6 minutes
- Build and standardize a structure for future usage•7 minutes
- Optimize search from queries•6 minutes
- Test query against sources•7 minutes
- When to use Python•4 minutes
- Use Python to collect and import data•6 minutes
- Use Python to prepare and format data•6 minutes
- Use Python to build and evaluate data models•5 minutes
- How Python and SQL work together•6 minutes
6 readings•Total 52 minutes
- Unilever positioning statement•2 minutes
- Supply chain data analyst professional certificate syllabus•10 minutes
- Common features of Python and SQL•10 minutes
- Common tools that use SQL•10 minutes
- Using Python for data analysis in practice•10 minutes
- Programming languages and tools I use•10 minutes
3 assignments•Total 60 minutes
- Using SQL and Python for data analysis•30 minutes
- SQL and Python•15 minutes
- Using SQL to manage large amounts of data•15 minutes
1 discussion prompt•Total 10 minutes
- Programming languages in the Supply Chain Analyst role•10 minutes
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.
What's included
15 videos11 readings6 assignments1 discussion prompt
15 videos•Total 60 minutes
- Welcome to data analytics that drive impactful decision making•2 minutes
- Four levels of data analytics•4 minutes
- How the four levels of data analytics help drive expected outcomes•4 minutes
- Identify the best way to communicate analytics•5 minutes
- Descriptive anaytics•4 minutes
- Conducting descriptive analytics•5 minutes
- Visualizing descriptive analytics•3 minutes
- How to identify the root cause•4 minutes
- Visualizing diagnostic analytics•3 minutes
- Applying predictive algorithms in Python•6 minutes
- Applying predictive business rules in Python•5 minutes
- Applying predictive algorithims with business rules in Python•4 minutes
- Applying prescriptive algorithms to Python•4 minutes
- Applying prescriptive business rules in Python•4 minutes
- Applying prescriptive algorithms with business rules in Python•3 minutes
11 readings•Total 130 minutes
- Types of data needed for all four levels•10 minutes
- Communicating descriptive analytics•30 minutes
- Diagnostic Analytics•10 minutes
- Communicating diagnostic analytics•10 minutes
- Predictive analytics•10 minutes
- Visualizing Predictive Analytics•10 minutes
- Communicating predictive analytics•10 minutes
- Prescriptive analytics•10 minutes
- Visualizing prescriptive analytics•10 minutes
- Communicating prescriptive analytics•10 minutes
- Prosacco Exemplar: Apply predictive and prescriptive analytics•10 minutes
6 assignments•Total 115 minutes
- Prosacco Activity: Apply descriptive and diagnostic analytics•20 minutes
- Prosacco Activity: Apply predictive and prescriptive analytics•20 minutes
- Four levels of analytics•30 minutes
- Four levels of data analytics•15 minutes
- Descriptive and diagnostic analytics•15 minutes
- Predictive analytics•15 minutes
1 discussion prompt•Total 10 minutes
- Your recommendations•10 minutes
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.
What's included
11 videos5 readings4 assignments
11 videos•Total 57 minutes
- Welcome to supply chain models: Inventory, Continuous Flow, Fast Chain•3 minutes
- Introduction to the Inventory Model•3 minutes
- Inventory theory•6 minutes
- Most common inventory models•6 minutes
- Introduction to Continuous Flow Model•5 minutes
- Continuous flow model fundamentals•6 minutes
- Continuous flow model applications•7 minutes
- Introduction to Fast Chain Model•4 minutes
- Fast Chain Model fundamentals•5 minutes
- Fast Chain Model applications•6 minutes
- Trends and demand•6 minutes
5 readings•Total 50 minutes
- Common constraints in inventory management•10 minutes
- Continuous flow success cases•10 minutes
- Challenges and constraints•10 minutes
- Fast chain success cases•10 minutes
- Prosacco Exemplar: Identify inventory strategy•10 minutes
4 assignments•Total 80 minutes
- Prosacco Activity: Identify inventory strategy•20 minutes
- Supply Chain Models: Inventory, Continuous Flow, Fast Chain•30 minutes
- Inventory model•15 minutes
- Continuous Flow Model•15 minutes
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.
What's included
7 videos22 readings6 assignments
7 videos•Total 20 minutes
- Welcome to Supply Chain Models: Efficient Chain, Agile, Custom-Configured, Flexible•2 minutes
- Introduction to the Efficient Chain Model•2 minutes
- Manufacturing principles•6 minutes
- Introduction to the Agile Model•2 minutes
- Introduction to the custom-configured model•2 minutes
- Custom-configured model fundamentals•5 minutes
- Introduction to the Flexible Model•2 minutes
22 readings•Total 235 minutes
- Efficient Chain Model Fundamentals•10 minutes
- Introduction to procurement and storage•10 minutes
- Efficient Chain Model applications•10 minutes
- Efficient chain model success story•10 minutes
- Efficient chain model challenges and constraints•10 minutes
- Introduction to Project Management•10 minutes
- Agile Model Fundamentals and Structure•10 minutes
- Agile model success story•10 minutes
- Agile model challenges and constraints•10 minutes
- Agile model advantages and disadvantages•10 minutes
- Custom-Configured Model Applications•10 minutes
- Custom-configured model success story•10 minutes
- Custom-configured model challenges and constraints•10 minutes
- Flexible model fundamentals•10 minutes
- Flexible Model Applications•10 minutes
- Flexible model success story•10 minutes
- Flexible model challenges and constraints•10 minutes
- Choosing a Model•10 minutes
- Presenting the action plan•30 minutes
- What I like most about my job as a Supply Chain Analyst•10 minutes
- Continue building your portfolio•10 minutes
- Summary•5 minutes
6 assignments•Total 130 minutes
- Prosacco Activity: Supporting the supply chain•20 minutes
- Supply chain models: Efficient chain, Agile, custom-configured, flexible•50 minutes
- Efficient chain model•15 minutes
- Agile model•15 minutes
- Custom-configured model•15 minutes
- Flexible Model•15 minutes
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Unilever
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Reviewed on Jul 22, 2024
This was also really informative, it has led me to want to go more into learning Python and SQL, this course was a real good introduction and quite good in how it was curated.
Reviewed on Nov 25, 2025
its was good but can also add more pratical questions
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