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Unilever Team
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/ijdxzq/using
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What's inside
Syllabus
Data basics and why data governance matters
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.
Read more
Syllabus
Data basics and why data governance matters
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.
Read more
Define and prepare the data
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.
Analyze, validate, and interpret the data
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.
Data visualization
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.
Present the data to your audience
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores data governance, an important topic for professionals working in supply chain management
Teaches fundamental concepts surrounding data, providing a strong foundation for learners
Develops skills in data analysis, enabling learners to apply calculations, summarizations, averages, and classification of information to solve problems
Provides hands-on practice in using tools such as SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data, enhancing learners' proficiency in data handling
Covers data visualization techniques, empowering learners to effectively communicate insights to decision-makers, improving their communication and presentation skills
Provides a comprehensive overview of data analytics in supply chain management, enhancing learners' understanding of the field
Save this course
Save Using Data Analytics in Supply Chain to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Using Data Analytics in Supply Chain with these
activities:
Review the fundamentals of statistics and probability
Show steps
A strong foundation in statistics and probability is essential for data analysis.
Browse courses on
Statistics
Show steps
-
Review your notes or textbooks on statistics and probability
-
Solve practice problems to test your understanding
-
Seek help from a tutor or online resources if needed
Review statistics basics
Show steps
This course assumes a basic familiarity with statistics. This activity is designed to refresh your memory and ensure that you are ready to build on that knowledge.
Browse courses on
Statistics
Show steps
-
Review your notes from a previous statistics course.
-
Take a practice quiz or exam to test your knowledge.
Read "Data Analytics in Supply Chain Management" by Michael Watson
Show steps
This book provides a comprehensive overview of the role of data analytics in supply chain management.
View
Managerial Analytics: An Applied Guide to...
on Amazon
Show steps
-
Read the book and take notes on the key concepts
-
Summarize the main arguments and how they relate to the course material
-
Identify specific examples of how data analytics is used in supply chain management
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Seek guidance from industry experts or experienced data analysts
Show steps
Connect with experienced professionals to gain valuable insights, receive personalized guidance, and expand your network.
Browse courses on
Mentoring
Show steps
-
Identify potential mentors through professional networks, industry events, or LinkedIn.
-
Reach out to mentors and express your interest in receiving guidance.
-
Schedule meetings or virtual sessions to discuss your goals and seek advice.
-
Stay engaged with your mentors and regularly update them on your progress.
Identify a mentor who can provide guidance on data analytics
Show steps
Mentorship can help you accelerate your learning and connect with professionals in the field.
Browse courses on
Mentorship
Show steps
-
Attend networking events or join online communities
-
Identify potential mentors who have experience in data analytics
-
Reach out to your potential mentors and ask for their guidance
Follow tutorials on data cleaning techniques
Show steps
Engage in guided tutorials to enhance your skills in cleaning and managing data for analysis.
Browse courses on
Data Cleaning
Show steps
-
Identify a dataset that requires cleaning.
-
Find and follow tutorials on data cleaning methods.
-
Apply the learned techniques to clean the selected dataset.
-
Verify the quality and accuracy of the cleaned data.
Join a study group for data analysis discussions
Show steps
Engage in discussions with peers to exchange knowledge, clarify concepts, and enhance your understanding of data analysis.
Browse courses on
Data Analysis
Show steps
-
Identify or form a study group with fellow learners.
-
Set regular meeting times and establish clear goals.
-
Facilitate discussions on course topics, case studies, or industry trends.
-
Collaborate on projects and assignments to learn from each other's perspectives.
Write a blog post or article on a data analysis topic
Show steps
Writing about data analysis will help you synthesize your understanding of the subject matter and improve your communication skills.
Browse courses on
Data Analytics
Show steps
-
Choose a topic that you are familiar with
-
Research the topic and gather relevant information
-
Write a structured and well-written blog post or article
-
Share your blog post or article online
Practice with data visualization tools
Show steps
Practice using various data visualization tools to reinforce your understanding of data presentation.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset to work with.
-
Select appropriate data visualization tools based on the dataset.
-
Create visualizations to represent the data effectively.
-
Interpret and analyze the visualizations for insights.
-
Refine and improve the visualizations as needed.
Solve data analysis problems using SQL or Python
Show steps
Solving data analysis problems will help you master the tools and techniques used in supply chain analytics.
Browse courses on
SQL
Show steps
-
Find online data analysis challenges or exercises
-
Analyze the data and solve the problems
-
Validate your solutions and learn from your mistakes
Develop a data analysis case study
Show steps
Apply your knowledge by creating a data analysis case study to demonstrate your ability to analyze data and derive insights.
Browse courses on
Data Analysis
Show steps
-
Select a real-world business scenario or problem.
-
Gather and analyze relevant data.
-
Identify and interpret trends, patterns, or insights from the data.
-
Develop recommendations based on the analysis.
-
Present your findings in a clear and concise manner.
Contribute to open-source data analytics projects
Show steps
Contribute to real-world data analytics projects to apply your skills, expand your knowledge, and earn recognition.
Browse courses on
Data Analytics
Show steps
-
Identify open-source data analytics projects aligned with your interests.
-
Review the project codebase and documentation.
-
Identify areas where you can contribute your skills and knowledge.
-
Submit pull requests or collaborate on bug fixes.
-
Engage with the project community for feedback and support.
Build a data analytics dashboard using Python or R
Show steps
Practicing building a data analytics dashboard will solidify your understanding of the data analysis process and the tools used to analyze data.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and define the objectives of your dashboard
-
Clean and prepare the data
-
Visualize the data using charts and graphs
-
Build an interactive dashboard using Python or R
-
Present your dashboard and insights to stakeholders
Review the fundamentals of statistics and probability
Show steps
A strong foundation in statistics and probability is essential for data analysis.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes or textbooks on statistics and probability
- Solve practice problems to test your understanding
- Seek help from a tutor or online resources if needed
Review statistics basics
Show steps
This course assumes a basic familiarity with statistics. This activity is designed to refresh your memory and ensure that you are ready to build on that knowledge.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review your notes from a previous statistics course.
- Take a practice quiz or exam to test your knowledge.
Read "Data Analytics in Supply Chain Management" by Michael Watson
Show steps
This book provides a comprehensive overview of the role of data analytics in supply chain management.
View
Managerial Analytics: An Applied Guide to...
on Amazon
Show steps
Show steps
Show steps
- Read the book and take notes on the key concepts
- Summarize the main arguments and how they relate to the course material
- Identify specific examples of how data analytics is used in supply chain management
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Seek guidance from industry experts or experienced data analysts
Show steps
Connect with experienced professionals to gain valuable insights, receive personalized guidance, and expand your network.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify potential mentors through professional networks, industry events, or LinkedIn.
- Reach out to mentors and express your interest in receiving guidance.
- Schedule meetings or virtual sessions to discuss your goals and seek advice.
- Stay engaged with your mentors and regularly update them on your progress.
Identify a mentor who can provide guidance on data analytics
Show steps
Mentorship can help you accelerate your learning and connect with professionals in the field.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend networking events or join online communities
- Identify potential mentors who have experience in data analytics
- Reach out to your potential mentors and ask for their guidance
Follow tutorials on data cleaning techniques
Show steps
Engage in guided tutorials to enhance your skills in cleaning and managing data for analysis.
Browse courses on
Data Cleaning
Show steps
Show steps
Show steps
- Identify a dataset that requires cleaning.
- Find and follow tutorials on data cleaning methods.
- Apply the learned techniques to clean the selected dataset.
- Verify the quality and accuracy of the cleaned data.
Join a study group for data analysis discussions
Show steps
Engage in discussions with peers to exchange knowledge, clarify concepts, and enhance your understanding of data analysis.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify or form a study group with fellow learners.
- Set regular meeting times and establish clear goals.
- Facilitate discussions on course topics, case studies, or industry trends.
- Collaborate on projects and assignments to learn from each other's perspectives.
Write a blog post or article on a data analysis topic
Show steps
Writing about data analysis will help you synthesize your understanding of the subject matter and improve your communication skills.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Choose a topic that you are familiar with
- Research the topic and gather relevant information
- Write a structured and well-written blog post or article
- Share your blog post or article online
Practice with data visualization tools
Show steps
Practice using various data visualization tools to reinforce your understanding of data presentation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset to work with.
- Select appropriate data visualization tools based on the dataset.
- Create visualizations to represent the data effectively.
- Interpret and analyze the visualizations for insights.
- Refine and improve the visualizations as needed.
Solve data analysis problems using SQL or Python
Show steps
Solving data analysis problems will help you master the tools and techniques used in supply chain analytics.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find online data analysis challenges or exercises
- Analyze the data and solve the problems
- Validate your solutions and learn from your mistakes
Develop a data analysis case study
Show steps
Apply your knowledge by creating a data analysis case study to demonstrate your ability to analyze data and derive insights.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Select a real-world business scenario or problem.
- Gather and analyze relevant data.
- Identify and interpret trends, patterns, or insights from the data.
- Develop recommendations based on the analysis.
- Present your findings in a clear and concise manner.
Contribute to open-source data analytics projects
Show steps
Contribute to real-world data analytics projects to apply your skills, expand your knowledge, and earn recognition.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify open-source data analytics projects aligned with your interests.
- Review the project codebase and documentation.
- Identify areas where you can contribute your skills and knowledge.
- Submit pull requests or collaborate on bug fixes.
- Engage with the project community for feedback and support.
Build a data analytics dashboard using Python or R
Show steps
Practicing building a data analytics dashboard will solidify your understanding of the data analysis process and the tools used to analyze data.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and define the objectives of your dashboard
- Clean and prepare the data
- Visualize the data using charts and graphs
- Build an interactive dashboard using Python or R
- Present your dashboard and insights to stakeholders
Career center
Learners who complete Using Data Analytics in Supply Chain will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to provide insights that can help businesses make better decisions. This course provides a foundation in data analysis, including data governance, data gathering techniques, and data analysis tools and processes. This course will help you develop the skills you need to succeed as a Data Analyst.
Data Scientist
Data Scientist
A Data Scientist is responsible for developing and applying statistical and machine learning models to data to extract insights. This course provides a foundation in data analysis, which is an essential skill for Data Scientists. This course will help you develop the skills you need to succeed as a Data Scientist.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. This course provides a foundation in data analysis, which is an essential skill for Business Analysts. This course will help you develop the skills you need to succeed as a Business Analyst.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and analytical methods to solve business problems. This course provides a foundation in data analysis, which is an essential skill for Operations Research Analysts. This course will help you develop the skills you need to succeed as an Operations Research Analyst.
Market Researcher
Market Researcher
A Market Researcher is responsible for conducting research to understand consumer behavior and market trends. This course provides a foundation in data analysis, which is an essential skill for Market Researchers. This course will help you develop the skills you need to succeed as a Market Researcher.
Management Consultant
Management Consultant
A Management Consultant is responsible for providing advice to businesses on how to improve their operations. This course provides a foundation in data analysis, which is an essential skill for Management Consultants. This course will help you develop the skills you need to succeed as a Management Consultant.
Supply Chain Manager
Supply Chain Manager
A Supply Chain Manager is responsible for managing the flow of goods and services from suppliers to customers. This course provides a foundation in data analysis, which is an essential skill for Supply Chain Managers. This course will help you develop the skills you need to succeed as a Supply Chain Manager.
Logistician
Logistician
A Logistician is responsible for planning and coordinating the movement of goods and services. This course provides a foundation in data analysis, which is an essential skill for Logisticians. This course will help you develop the skills you need to succeed as a Logistician.
Distribution Manager
Distribution Manager
A Distribution Manager is responsible for managing the distribution of goods and services. This course provides a foundation in data analysis, which is an essential skill for Distribution Managers. This course will help you develop the skills you need to succeed as a Distribution Manager.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations on investments. This course provides a foundation in data analysis, which is an essential skill for Financial Analysts. This course will help you develop the skills you need to succeed as a Financial Analyst.
Transportation Manager
Transportation Manager
A Transportation Manager is responsible for managing the transportation of goods and services. This course provides a foundation in data analysis, which is an essential skill for Transportation Managers. This course will help you develop the skills you need to succeed as a Transportation Manager.
Warehouse Manager
Warehouse Manager
A Warehouse Manager is responsible for managing the operations of a warehouse. This course provides a foundation in data analysis, which is an essential skill for Warehouse Managers. This course will help you develop the skills you need to succeed as a Warehouse Manager.
Procurement Manager
Procurement Manager
A Procurement Manager is responsible for managing the procurement of goods and services. This course provides a foundation in data analysis, which is an essential skill for Procurement Managers. This course will help you develop the skills you need to succeed as a Procurement Manager.
Inventory Manager
Inventory Manager
An Inventory Manager is responsible for managing the inventory of goods and services. This course provides a foundation in data analysis, which is an essential skill for Inventory Managers. This course will help you develop the skills you need to succeed as an Inventory Manager.
Customer Service Manager
Customer Service Manager
A Customer Service Manager is responsible for managing the customer service department of a company. This course provides a foundation in data analysis, which is an essential skill for Customer Service Managers. This course will help you develop the skills you need to succeed as a Customer Service Manager.
For more career information including salaries, visit:
OpenCourser.com/course/ijdxzq/using
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Using Data Analytics in Supply Chain.
Presents a comprehensive overview of data analytics techniques used in supply chain management, providing a foundation for understanding the course concepts.
Save
Emphasizes the importance of effective data visualization in communicating insights from supply chain analytics, aligning with a key aspect of the course.
Offers a comprehensive introduction to Python, a programming language widely used for data analytics, complementing the course's coverage of data analysis tools.
Provides a practical framework for implementing data governance practices, enhancing the understanding of this critical aspect discussed in the course.
Offers a comprehensive overview of supply chain management concepts, providing background knowledge that supports the data analytics perspective covered in the course.
Introduces the emerging field of blockchain technology in supply chain management, providing additional insights beyond the scope of the course's focus on data analytics.
Save
This advanced book introduces machine learning algorithms and techniques, providing a deeper understanding of the mathematical foundations underlying data analytics methods.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ijdxzq/using
Share
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Effort
4 weeks of study, 20 hours/week
Level
Introductory
Via
Coursera
Institution
Unilever
Instructor
Unilever Team
Language
English
This course belongs to a
collection
called
Unilever Supply Chain Data Analyst. It's comprised of four courses:
- Supply Chain Software Tools
- Supply Chain Management and Analytics
- Using Data Analytics in Supply Chain (viewing)
- Implementing Supply Chain Analytics
Good to know
Explores data governance, an important topic for professionals working in supply chain management
Teaches fundamental concepts surrounding data, providing a strong foundation for learners
Develops skills in data analysis, enabling learners to apply calculations, summarizations, averages, and classification of information to solve problems
Provides hands-on practice in using tools such as SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data, enhancing learners' proficiency in data handling
Covers data visualization techniques, empowering learners to effectively communicate insights to decision-makers, improving their communication and presentation skills
Provides a comprehensive overview of data analytics in supply chain management, enhancing learners' understanding of the field
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