Description

Professional Certificate of Competency in Big Data and Analytics in Electricity Grids

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.

Request free information

Fill out this form to request more info on tuition, course details & more.

First Name

Last Name

Nationality

Email Address

Country Code

Phone Number

Program of interest

Agree to the Terms and Privacy conditions.

If you are human, leave this field blank.

Duration

3 months

Intakes

March, July

Tuition Fee

Vary*

Location

Online

CRICOS

03567C

*Please get in touch for more details on fees

About the program

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.

Certification

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 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.