Professional Certificate of Competency in Big Data and Analytics in Electricity Grids
Engineering Institute of Technology
Type of institution: Registered Training Organisation
Level: Vocational Education and Training (VET)
CRICOS: 03567C
Energy and utilities are taking advantage of the technology boom! They are turning knowledge into power by using big data & analytics in informing their decision making and customer journey. This course explores the use of big data & data analytics in electricity grids using applied industry focused case studies.
Structure
12 Modules
Subjects
- Data analytics and machine learning basics
- Data flow and feature engineering
- Mathematical background
- Algorithms (I)
- Algorithms (II)
- Algorithms (III)
- Applications (I)
- Applications (II)
- Tools (I)
- Tools (II)
- Case studies (I)
- Case studies (II)
Standard entry requirements
To obtain a certificate of completion for EITs Professional Certificate of Competency course, students must achieve a 65% attendance rate at the live, online weekly webinar. Detailed summaries or notes can be submitted in lieu of attendance. In addition, students must obtain a mark of 60% in the set assignments which could take the form of written assignments and practical assignments. Students must also obtain a mark of 100% in quizzes. If a student does not achieve the required score, they will be given an opportunity to resubmit the assignment to obtain the required score.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| EIT ONLINE | No |
|
