Case Study: Inventory Analysis in Tableau

Starting at USD 39.00
2 hours duration

Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Are you looking for a way to enhance your Tableau skills and apply them to real-world inventory analysis challenges? This case study offers the perfect opportunity to do so. In this case study, you will be working with a dataset from Acropolis Retail Inc., a fictional company. Many retailers are seeking ways to improve their inventory management and purchasing strategies, and your expertise will be invaluable in addressing these concerns. However, it's important to note that real-world scenarios are not always flawless. To begin, you will thoroughly clean and explore the data to ensure its accuracy and coherence. This step is crucial in verifying that all the information is reliable and can be effectively analyzed. Additionally, you will create calculated fields and establish the appropriate level of detail necessary for obtaining meaningful insights from the clean data. Finally, you will utilize Tableau to create visually appealing and informative visualizations and dashboards. These will serve as powerful tools for presenting your findings and recommendations. Upon completion of this case study, you will have significantly enhanced your confidence in performing inventory analysis using Tableau.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
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.
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