Professional Certificate of Competency in Big Data and Analytics in Electricity Grids
Engineering Institute of Technology
Type of institution: Registered Training Organisation
Level: Pre-degree
CRICOS: 03567C
The 12-week part-time course, led by an industry expert 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 program 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.
Standard entry requirements
To obtain a certificate of completion for EIT’s Professional Certificate of Competency course, students must achieve a 65% attendance rate at the live, online weekly webinars. Detailed summaries or notes can be submitted in lieu of attendance. In addition, students must obtain an overall 50% marks in the set assessments which are a practical assessment and a proctored exam. Students must obtain a minimum 40% marks in proctored exam to pass this course. Students must also obtain a mark of 100% in weekly quizzes. If a student does not achieve the required score, resubmission/re-attempt opportunity is given only in the practical assessment and the weekly quizzes, not in the exam.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| EIT ONLINE | No |
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