Using Data Analytics in Supply Chain

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Using Data Analytics in Supply Chain

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

Instructor: Unilever Team

15,041 already enrolled

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5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

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 videosTotal 86 minutes

Welcome to supply chain data analyst professional certificate5 minutes
Welcome to using data analytics in supply chain3 minutes
Data basics and why data governance matters3 minutes
How I use data analytics3 minutes
Introduction to data4 minutes
Data main sources6 minutes
The importance of data quality6 minutes
Introduction to supply chain data analysis7 minutes
Supply chain data analysis process4 minutes
Types of data6 minutes
Organize and format7 minutes
Using spreadsheets in data analysis: Functions and formulas7 minutes
Using spreadsheets in data analysis: Pivot tables and macros5 minutes
Introduction to data governance5 minutes
Data governence framework4 minutes
Adhering to data governance policies7 minutes
Data ethics5 minutes

6 readingsTotal 72 minutes

Unilever positioning statement2 minutes
Supply chain data analyst professional certificate syllabus30 minutes
Examples of data10 minutes
Dimensions of quality data10 minutes
Data analysis tools10 minutes
Data quality vs. data governance10 minutes

4 assignmentsTotal 90 minutes

Can you spot quality data?15 minutes
Prosacco activity: Use spreadsheets to organize data30 minutes
Supply chain data analysis and tools15 minutes
Data basics and why data governance matters30 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 videosTotal 60 minutes

Welcome to define the data objective3 minutes
Identify your data analysis objectives4 minutes
Identify your questions to be answered7 minutes
Identify the sources of data8 minutes
Define and obtain the data4 minutes
Gather the data9 minutes
Introduction to data preparation3 minutes
Data cleansing part 14 minutes
Data cleansing part 26 minutes
Impact of bad data4 minutes
Using spreadsheets to clean the data4 minutes
Fill the gaps in data5 minutes

8 readingsTotal 56 minutes

Write SMART objectives8 minutes
The five W's and one H5 minutes
Activity exemplar: Identify your data analysis objective5 minutes
How to identify the sources of data4 minutes
How to define which data to obtain4 minutes
Quality data vs. bad data10 minutes
Prepare the clean data10 minutes
Activity exemplar: Prepare the data10 minutes

6 assignmentsTotal 150 minutes

Prosacco activity: Identify your data analysis objective20 minutes
Define the data objective15 minutes
Prosacco activity: Gather the data30 minutes
Gather the data15 minutes
Prosacco activity: Prepare the data20 minutes
Define and prepare the data50 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 videosTotal 67 minutes

Welcome to analyze, validate, and intepret the data3 minutes
How to analyze the data4 minutes
How to apply calculations using spreadsheets4 minutes
How to apply summarizations using spreadsheets4 minutes
How to apply averages using spreadsheets4 minutes
How to apply classifications of information using spreadsheets6 minutes
Introduction to data validation3 minutes
Types of data validation7 minutes
How to perform data validation4 minutes
Steps to take if errors exist4 minutes
How to interpret the data7 minutes
How to explain the data7 minutes
Reporting the findings10 minutes

5 readingsTotal 80 minutes

Solving common challenges in data analysis10 minutes
Activity exemplar: Apply calculations, summarizations, averages and classifications of information20 minutes
Solving common challenges of data validation10 minutes
Activity exemplar: Validate your data30 minutes
Best practices for reporting10 minutes

6 assignmentsTotal 145 minutes

Prosacco activity: Apply calculations, summarizations, averages and classifications of information30 minutes
Analyze the data15 minutes
Prosacco activity: Validate your data30 minutes
Data validation10 minutes
Prosacco activity: Develop a quick summary or report30 minutes
Analyze, validate, and intepret the data30 minutes

1 discussion promptTotal 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 videosTotal 67 minutes

Welcome to data visualization3 minutes
Introduction to data visualization4 minutes
Charts or graphs5 minutes
Tables8 minutes
Dashboards8 minutes
Geospatial visualization5 minutes
Introduction to storytelling4 minutes
How to tell a story7 minutes
Define your audience6 minutes
Using visualization tools in storytelling8 minutes
Determine the best presentation method8 minutes

4 readingsTotal 60 minutes

Data visualization tools10 minutes
Data visualization best practices10 minutes
How I use storytelling with my stakeholders30 minutes
Draft a story10 minutes

5 assignmentsTotal 600 minutes

Prosacco activity: Create data visualizations30 minutes
Data visualization180 minutes
Using storytelling180 minutes
Prosacco activity: Draft your story30 minutes
Data visualization180 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 videosTotal 41 minutes

Presentation skills basics4 minutes
Effective presentation skills: Physical7 minutes
Effective presentation skills: Verbal7 minutes
Create your presentation: Google Slides or PowerPoint7 minutes
Create your presentation: Tableau7 minutes
Create your presentation: Power BI7 minutes

5 readingsTotal 87 minutes

How to improve presentation skills10 minutes
Presentation best practices and examples10 minutes
Example of an analyst presenting findings to a leader7 minutes
Start your portfolio30 minutes
Using data analytics in supply chain summary and resources30 minutes

2 assignmentsTotal 360 minutes

Presentation skills180 minutes
Present the data to your audience180 minutes

1 peer reviewTotal 30 minutes

Prosacco activity: Create your presentation30 minutes

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Instructor

Unilever Team

Unilever

8 Courses91,011 learners

Offered by

Unilever

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