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There are 5 modules in this course
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 this module, you will focus on the importance of analyzing quality data and how to adhere to data governance policies. You'll be introduced to the data analysis process and the tools used to analyze data. Identify the importance of data quality. Identify the types of data. Explain the importance of data governance and adhere to data governance policies.
What's included
17 videos6 readings4 assignments
Show info about module content
17 videos•Total 86 minutes
Welcome to supply chain data analyst professional certificate•5 minutes
Welcome to using data analytics in supply chain•3 minutes
Data basics and why data governance matters•3 minutes
How I use data analytics•3 minutes
Introduction to data•4 minutes
Data main sources•6 minutes
The importance of data quality•6 minutes
Introduction to supply chain data analysis•7 minutes
Supply chain data analysis process•4 minutes
Types of data•6 minutes
Organize and format•7 minutes
Using spreadsheets in data analysis: Functions and formulas•7 minutes
Using spreadsheets in data analysis: Pivot tables and macros•5 minutes
Introduction to data governance•5 minutes
Data governence framework•4 minutes
Adhering to data governance policies•7 minutes
Data ethics•5 minutes
6 readings•Total 72 minutes
Unilever positioning statement•2 minutes
Supply chain data analyst professional certificate syllabus•30 minutes
Examples of data•10 minutes
Dimensions of quality data•10 minutes
Data analysis tools•10 minutes
Data quality vs. data governance•10 minutes
4 assignments•Total 90 minutes
Data basics and why data governance matters•30 minutes
Can you spot quality data?•15 minutes
Prosacco activity: Use spreadsheets to organize data•30 minutes
Supply chain data analysis and tools•15 minutes
Define and prepare the data
Module 2•4 hours to complete
Module details
In this module, you will focus on how to write the objectives of your analysis, identify the questions you should be answering with the data, determine where to obtain your data, and how to clean and prepare the data obtained.
What's included
12 videos8 readings6 assignments
Show info about module content
12 videos•Total 60 minutes
Welcome to define the data objective•3 minutes
Identify your data analysis objectives•4 minutes
Identify your questions to be answered•7 minutes
Identify the sources of data•8 minutes
Define and obtain the data•4 minutes
Gather the data•9 minutes
Introduction to data preparation•3 minutes
Data cleansing part 1•4 minutes
Data cleansing part 2•6 minutes
Impact of bad data•4 minutes
Using spreadsheets to clean the data•4 minutes
Fill the gaps in data•5 minutes
8 readings•Total 56 minutes
Write SMART objectives•8 minutes
The five W's and one H•5 minutes
Activity exemplar: Identify your data analysis objective•5 minutes
How to identify the sources of data•4 minutes
How to define which data to obtain•4 minutes
Quality data vs. bad data•10 minutes
Prepare the clean data•10 minutes
Activity exemplar: Prepare the data•10 minutes
6 assignments•Total 150 minutes
Define and prepare the data•50 minutes
Prosacco activity: Identify your data analysis objective•20 minutes
Define the data objective•15 minutes
Prosacco activity: Gather the data•30 minutes
Gather the data•15 minutes
Prosacco activity: Prepare the data•20 minutes
Analyze, validate, and interpret the data
Module 3•5 hours to complete
Module details
In this module, you will focusing on finding the answers to the identified analysis questions, identifying if errors are present in our analys and making and needed adjustments, intepreting the results and explaining what it means in your own words, and reporting your findings.
Welcome to analyze, validate, and intepret the data•3 minutes
How to analyze the data•4 minutes
How to apply calculations using spreadsheets•4 minutes
How to apply summarizations using spreadsheets•4 minutes
How to apply averages using spreadsheets•4 minutes
How to apply classifications of information using spreadsheets•6 minutes
Introduction to data validation•3 minutes
Types of data validation•7 minutes
How to perform data validation•4 minutes
Steps to take if errors exist•4 minutes
How to interpret the data•7 minutes
How to explain the data•7 minutes
Reporting the findings•10 minutes
5 readings•Total 80 minutes
Solving common challenges in data analysis•10 minutes
Activity exemplar: Apply calculations, summarizations, averages and classifications of information•20 minutes
Solving common challenges of data validation•10 minutes
Activity exemplar: Validate your data•30 minutes
Best practices for reporting•10 minutes
6 assignments•Total 145 minutes
Analyze, validate, and intepret the data•30 minutes
Prosacco activity: Apply calculations, summarizations, averages and classifications of information•30 minutes
Analyze the data•15 minutes
Prosacco activity: Validate your data•30 minutes
Data validation•10 minutes
Prosacco activity: Develop a quick summary or report•30 minutes
1 discussion prompt•Total 10 minutes
Share if errors existed in your data and how you corrected those errors.•10 minutes
Data visualization
Module 4•12 hours to complete
Module details
In this module, you will learn how to use data visualization tools and storytelling to describe the data to decision makers in a clear, concise and comprehensive manner.
What's included
11 videos4 readings5 assignments
Show info about module content
11 videos•Total 67 minutes
Welcome to data visualization•3 minutes
Introduction to data visualization•4 minutes
Charts or graphs•5 minutes
Tables•8 minutes
Dashboards•8 minutes
Geospatial visualization•5 minutes
Introduction to storytelling•4 minutes
How to tell a story•7 minutes
Define your audience•6 minutes
Using visualization tools in storytelling•8 minutes
Determine the best presentation method•8 minutes
4 readings•Total 60 minutes
Data visualization tools•10 minutes
Data visualization best practices•10 minutes
How I use storytelling with my stakeholders•30 minutes
Draft a story•10 minutes
5 assignments•Total 600 minutes
Data visualization•180 minutes
Prosacco activity: Create data visualizations•30 minutes
Data visualization•180 minutes
Using storytelling•180 minutes
Prosacco activity: Draft your story•30 minutes
Present the data to your audience
Module 5•9 hours to complete
Module details
This module focuses on how to create a meaningful presentation for your audience and provides you with the skills to present your findings with confidence.
What's included
6 videos5 readings2 assignments1 peer review
Show info about module content
6 videos•Total 41 minutes
Presentation skills basics•4 minutes
Effective presentation skills: Physical•7 minutes
Effective presentation skills: Verbal•7 minutes
Create your presentation: Google Slides or PowerPoint•7 minutes
Create your presentation: Tableau•7 minutes
Create your presentation: Power BI•7 minutes
5 readings•Total 87 minutes
How to improve presentation skills•10 minutes
Presentation best practices and examples•10 minutes
Example of an analyst presenting findings to a leader•7 minutes
Start your portfolio•30 minutes
Using data analytics in supply chain summary and resources•30 minutes
2 assignments•Total 360 minutes
Present the data to your audience•180 minutes
Presentation skills•180 minutes
1 peer review•Total 30 minutes
Prosacco activity: Create your presentation•30 minutes
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3 stars
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H
HL
5·
Reviewed on Sep 29, 2025
Very helpful. I gain a lot of new knowledges. Thank you Coursera to give me a chance to study.
E
EP
5·
Reviewed on May 5, 2025
I have learned each and every part of the data analytics with best examples Thanks to Coursera Team for providing detail explanation.
B
BM
5·
Reviewed on Jul 22, 2024
Great course, really opens up a whole new world, and for me as being new in supply chain the content was really informative and building. Great work instructors and Unilever.
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