Using Data Analytics in Supply Chain

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

Instructor: Unilever Team

Skills you'll gain

  •   Data Quality
  •   Spreadsheet Software
  •   Data Governance
  •   Data Management
  •   Data Visualization Software
  •   Analytical Skills
  •   Supply Chain Management
  •   Data Analysis
  •   Data Storytelling
  •   Presentations
  •   Data Validation
  •   Data Cleansing
  •   Data Collection
  • There are 5 modules in this course

    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.

    Define and prepare the data

    Analyze, validate, and interpret the data

    Data visualization

    Present the data to your audience

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