About 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
What You'll Learn
- Explain the importance of data governance and adhere to policies
- Define data analysis objectives and formulate questions
- Implement effective data gathering techniques
- Analyze data with calculations and summarizations
- Classify information to answer analysis questions
- Interpret data-driven insights for decisions
Prerequisites
- Basic computer and internet skills
- Ability to read instructions in English and complete practice exercises
Instructors
Unilever Team