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Nous Group

4.3
  • #4 in Management consulting
  • 500 - 1,000 employees

Nous’ Data Analytics Virtual Experience

In this virtual experience you will be given the opportunity to demonstrate and sharpen the analytical skills required to be a successful consultant at Nous.

Opportunity details

Opportunity Type
Virtual Experience

Minimum requirements

Accepting International Applications
Yes
Qualifications Accepted
B
Commerce
E
Aerospace Engineering
Air Traffic Control
Aircraft Maintenance Engineering
Aircraft Operation & Aviation
Automotive & Transport Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
Electrical & Electronic Engineering
Engineering Management
Environmental Engineering
Fire & Safety Engineering
Geomatic Engineering
Manufacturing Engineering
Marine Engineering
Materials Engineering
Mathematics & Statistics
Mechanical Engineering
Mining Engineering
Petroleum Engineering
Renewable Energy Engineering
Robotics & Mechatronics Engineering
Engineering & Mathematics (all other)
I
Data Science

Hiring criteria

Entry pathway

See details

Working rights

Australia

  • Australian Citizen
  • Australian Permanent Resident
  • Australian Student Visa
  • Australian Temporary Work Visa
  • Visa Sponsorship Included
Read more

What is this?

Welcome to Nous’ Data Analytics Virtual Experience.

Nous Group is an international management consultancy with over 400 people working across Australia, the UK and Canada. We are a values-based organisation that partner with leaders to shape world class businesses, effective governments and empowered communities. In this virtual experience you will get a taste of what it is like to work for Nous on a data analytics project. 

Data is integral to our work at Nous. We combine client data with open and proprietary datasets to design better policy, strategy and services, using the latest techniques in analysis and modelling to unlock value and improve performance.

 

Why should you do this?

Duration
This Virtual Experience Program is self-paced and should take only 1 to 2 hours to complete.

free
This Virtual Experience Program is free for all students.

Earn certificate
When you complete the Virtual Experience Program, you’ll earn a digital badge and certificate you can share on Linkedin and include on your resume.

Real work experience
Throughout the program, you’ll learn and develop deep insights into what it is actually like to work as a data analyst at Nous. Apply your analytical knowledge to a real-world problem & gain practical experience and knowledge to draw upon in interviews.

 

What skills will I gain?

 tick mark Use government (ABS) data, analysis tools and graphics, to provide insight into the education system.

 

What you will do?

Data analytics (1 - 2 hours)

Use Australian Bureau of Statistics (ABS) data to provide insight into the student-teacher ratio in Australia’s high schools.

 

Ready to get started?

Click Register to begin

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Study Field
B
Commerce
E
Aerospace Engineering
Air Traffic Control
Aircraft Maintenance Engineering
Aircraft Operation & Aviation
Automotive & Transport Engineering
Chemical Engineering
Civil Engineering & Construction
Communications Engineering
Electrical & Electronic Engineering
I
Data Science

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

Australia

Australia

Australian Citizen

Australian Permanent Resident

Australian Student Visa

Australian Temporary Work Visa

Visa Sponsorship Included


Graduate Success Stories


  • Graduate stories
Nous largely looks at your ability to think in a structured way, draw out key findings from data (qualitative and quantitative), and communicate insights in a clear and compelling way for clients (usually through PowerPoint or Word).

Joseph Nguyen

  • Graduate stories
Nous largely looks at your ability to think in a structured way, draw out key findings from data (qualitative and quantitative), and communicate insights in a clear and compelling way for clients (usually through PowerPoint or Word).

Joseph Nguyen

  • Graduate stories
Coming in as a dietitian, I thought I was a fish out of water in the corporate world. I was proven wrong and was so surprised by the diverse backgrounds and experiences of all my colleagues.

Julie Nguyen

  • Graduate stories
Coming in as a dietitian, I thought I was a fish out of water in the corporate world. I was proven wrong and was so surprised by the diverse backgrounds and experiences of all my colleagues.

Julie Nguyen

  • Graduate stories
Nous largely looks at your ability to think in a structured way, draw out key findings from data (qualitative and quantitative), and communicate insights in a clear and compelling way for clients (usually through PowerPoint or Word).

Joseph Nguyen

  • Graduate stories
Nous largely looks at your ability to think in a structured way, draw out key findings from data (qualitative and quantitative), and communicate insights in a clear and compelling way for clients (usually through PowerPoint or Word).

Joseph Nguyen

  • Graduate stories
Coming in as a dietitian, I thought I was a fish out of water in the corporate world. I was proven wrong and was so surprised by the diverse backgrounds and experiences of all my colleagues.

Julie Nguyen

  • Graduate stories
Coming in as a dietitian, I thought I was a fish out of water in the corporate world. I was proven wrong and was so surprised by the diverse backgrounds and experiences of all my colleagues.

Julie Nguyen


Related course


Masters (Coursework)

With the rapid expansion of the data science field, and the increased reliance on data in business, government and research, there is a very real demand for data professionals who are able to identify and mine relevant data.
Entry Requirements
  • A Bachelor degree (whilst not a prerequisite for entry, high numeracy skills equivalent to senior level mathematics that includes algebra and elementary differential calculus is assumed); OR
  • At least five years of relevant work experience in an IT or data science-related industry. Industry experience will need to include some background in computing, data analysis or programming. Application based on relevant industry experience must be supported by a detailed CV and proof of work experience.
Intake Months
Jan, Mar, May, Jul, Sep, Oct
Duration
32 months part-time
Study Mode
Online
Domestic Tuition Fees
$54,880 total
International Tuition Fees
$54,880 total