Type of course:
Digital learning, Lesson
Language:
EN
Duration:
5 minutes
Proficiency:
Intermediate
Target:
Manager, Professionals, Workers
SUMMARY
Welcome to the lesson on the Technogaja sales dataset! This course will guide learners through the structure and content of a manufacturing company’s dataset, spanning sales from 2020 to 2023. By exploring key data columns like order details, customer information, shipping deadlines, and product specifications, learners will gain valuable skills in interpreting and analyzing sales data. Whether you are an aspiring data analyst, supply chain manager, or business decision-maker, this course will provide practical insights into managing and analyzing data for operational efficiency.
You will also learn how to identify redundancies, inconsistencies, and key performance indicators (KPIs) to improve supply chain processes. Engage in this interactive journey to unlock actionable insights from real-world sales data!
About The Author
Dilek Dustegor is a Professor of Computing Science at the University of Groningen in the Netherlands. She is interested in bridging the gaps between research, development and implementation using AI and automation. She is pursuing research about modeling, design and analysis of large scale / networked systems using IoT and ML techniques, with a special interest in smart city applications. She is a seasoned educator, and loves using the newest educational technologies for an enhanced learning experience.
Learning outcomes
- By the end of this lesson, learners will be able to download the dataset for future tasks.
- By the end of this lesson, learners will be able to describe the structure and components of the Technogaja sales dataset.
- By the end of this lesson, learners will be able to discuss the potential challenges associated with the dataset.
Course Content
Topics
Automation and Sensoring, Automation and Robotics, Digital Transformation, Machine Learning
Provided by
-
University of Groningen
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