Using Data Analytics in Supply Chain

This course is part of Unilever Supply Chain Data Analyst Professional Certificate

Instructor: Unilever Team

Access provided by Emirates Development Bank

12,726 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

91 reviews

Beginner level

Recommended experience

Flexible schedule

4 weeks at 10 hours a week

Learn at your own pace

92%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

91 reviews

Beginner level

Recommended experience

Flexible schedule

4 weeks at 10 hours a week

Learn at your own pace

92%

Most learners liked this course

Skills you'll gain

Tools you'll learn

Google Sheets

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

23 assignments¹

AI Graded see disclaimer

Taught in English

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Build your Data Analysis expertise

This course is part of the Unilever Supply Chain Data Analyst Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

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 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

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

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

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

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.

What's included

13 videos5 readings6 assignments1 discussion prompt

13 videos Total 67 minutes

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

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

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

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

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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Instructor

Instructor ratings

(17 ratings)

Unilever Team

Unilever

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Unilever

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Reviewed on Apr 22, 2024

few sessions on the analytic part with excel and python

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.

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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