DataCamp

Case Study: Supply Chain Analytics in Tableau

Business and Economics

Add Bookmark Visit Course

Short Description

Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Long Description

Utilize Tableau for Supply Chain Analysis This case study offers an opportunity to apply Tableau skills to real-world supply chain analytics. By addressing challenges related to shipment and inventory management, you will analyze inefficiencies within the supply chain and develop informative dashboards to communicate potential issues to business stakeholders. Develop Tableau Dashboards to Present Findings Throughout this case study, you will employ a range of Tableau techniques, such as calculations and visualizations, to extract insights from the data. These findings will then be consolidated into interactive dashboards that effectively convey key insights. Acquire Practical Tableau Proficiency This analytics case study allows you to showcase your proficiency in various aspects of Tableau. Upon completion, you will have gained hands-on experience in utilizing the tool within a supply chain context, having worked through a comprehensive practical example.

Related Courses

Course Details

Duration
3 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
Learn more