Our 2-day Industrial Data Science (IDS) training course program presents an organized set of modules that address the important skill sets and understanding needed to explore the main tools used for data science and how these can be implemented to optimize asset management in heavy industry.
The topics in this course are illustrated via practical case studies for the delegates which are analysed and solved in a discussion-based environment. Case studies such as data science applied to industry problems and worked examples of how to use Cloud-Based Artificial Intelligence (AI) to lower the barrier to entry for Artificial Intelligence (AI) adoption are presented.
In this course, a comprehensive management method is utilized to address the concepts behind Big Data, Industrial Data Science, Industrial AI, Cross-Industry Standard Process for Data Mining (CRISP-DM) and their utilization to boost your business’ data extraction, analysis, visualization and predictive modelling techniques.
The course consists of an organized set of 8 modules that address the important skill sets and understanding needed to explore the main tools used for data science and how these can be implemented to optimize asset management in heavy industry.
The objective of the course is to learn the capabilities of Big Data, Industrial Data Science, and Industrial AI, and how they can be applied to heavy industry to optimize critical processes and day-to-day tasks.
This training course is developed for practicing engineers, operators and managers in various industries such as:
The course is of benefit to all levels of personnel whose jobs requires them to conduct data management and analysis tasks to enhance their skill sets be it in the field of integrity, maintenance, operations or HSE. It provides an introductory overview of the transformative potential of Data Science and its applications within modern day Industry.
Delegates attending this course do not require any previous knowledge in Data Science and Artificial Intelligence (AI) techniques – these concepts will be introduced during the course with numerous applications and industrial case studies presented.