Professional Certificate of Competency in Big Data and Analytics in Electricity Grids Engineering Institute of Technology

Overview

Throughout the Professional Certificate of Competency in Big Data and Analytics in Electricity Grids from the Engineering Institute of Technology will provide you with a practical, in-depth view of the use of data analytics and machine learning to solve problems in electricity production and distribution.

55% of companies have already adopted Big Data analytics to reduce overall cost and increase profit. With this in mind, this programme has been tailored to equip you with the skills and knowledge to stand out from the crowd and harness the power of big data, working at the forefront of a fast-growing, dynamic, and future proof field.

The course will cover the foundations of data analytics including data acquisition, pre-processing, and visualization. You will learn how to make use of powerful machine learning models such as Artificial Neural Networks and decision trees.

By the end of the program, you will be able to identify problems that could be solved using data analysis and machine learning, and you will be able to develop solutions to such problems.

Big Data Analytics Course Benefits:

• You may be eligible to claim CPD points through your local engineering association.
• Receive a Certificate of Completion from EIT.
• Learn from well-known faculty and industry experts from around the globe.
• Flexibility of attending anytime from anywhere, even when you are working full-time.
• Interact with industry experts during the webinars and get the latest updates/announcements on the subject.
• Experience a global learning with students from various backgrounds and experience which is a great networking opportunity.
• Learn the latest applications of Big Data & Data Analytics in electricity grids using applied industry focused case studies.
• Study skills and knowledge about the foundations of data and the use of powerful machine learning models such as Artificial Neural Networks and decision trees.
• Learn about problem solving techniques using data analysis and machine learning and develop solutions to solve problems.