Commonwealth Bank Introduction to Data Science

Why complete this Job Simulation

A risk-free way to experience work on the job with us at Commonwealth Bank. Practice your skills with example tasks and build your confidence to ace your applications.

Self-paced

3-4 hours

No grades

No assessments

Introductory

Welcome to the Commonwealth Bank Introduction to Data Science Virtual Job Simulation! We are so excited to have you here!

Our scale means unparalleled opportunity to accelerate digital innovation and positively impact customers. We’ve got some incredibly important and complex problems to solve. As Australia’s leading technology bank, we process millions of transactions every day. Around 40% of all payments made by Australians go through our systems. Whether you’re designing the apps people hold in their hands or the systems they’re delivered through, you’re determining how more than 17 million customers access their money. Your work matters.

During this program, you will get the opportunity to step into the shoes of a Commonwealth Bank team member and complete tasks that replicate the work that our data science team does every day. You’ll learn how to aggregate and analyze data, anonymise personal data, explore data insights that can be unlocked with social media, and design a database.

We hope this program provides a great resource for you to up-skill and strengthen your resume as you explore career options and a potential career at Commonwealth Bank!

How it works

Complete tasks guided by pre-recorded videos and example answers from our team at Commonwealth Bank. No live sessions, all self-paced.
Earn a certificate and add it to your resume and LinkedIn as an extra curricular activity.
Stand out in applications. Confidently answer interview questions and explain why you’re a good fit for our team.

Skills you will learn and practice:

API Development

Data Analysis

Data Architecture

Data Management

Data Privacy

Database Design

Database Documentation

Excel

Statistics

Introduction from Commonwealth Bank

Tasks

Task One: Data Aggregation and Analysis

30-60 minsIntroductory

Create a data engineering pipeline to aggregate and extract insights from a data set

What you'll learn

Understand the importance of data engineering and analysis in a long-term data-focused vision.
Gain experience in using real-world transactional data for analysis.
Learn to perform data analysis and answer specific questions based on the dataset provided.

What you'll do

Analyze the "CSV Data Set" of supermarket transactions to address key questions.
Document the analysis process, including formulas used, using spreadsheet software.
Submit the analyzed file for review.

Task One: Data Aggregation and Analysis

30-60 minsIntroductory

Create a data engineering pipeline to aggregate and extract insights from a data set

What you'll learn

Understand the importance of data engineering and analysis in a long-term data-focused vision.
Gain experience in using real-world transactional data for analysis.
Learn to perform data analysis and answer specific questions based on the dataset provided.

What you'll do

Analyze the "CSV Data Set" of supermarket transactions to address key questions.
Document the analysis process, including formulas used, using spreadsheet software.
Submit the analyzed file for review.

Reviews

4.5

I enjoyed the practical, hands-on nature of the simulation. It gave me an opportunity to work through realistic data science tasks and understand how data analysis can be applied to real business problems. I particularly liked that the activities helped me develop practical skills while giving me insight into the type of work carried out by Commonwealth Bank.

Student, Karakoram International University

I liked the practical approach of the simulation. It helped me understand real-world concepts such as data analysis, data anonymisation, social media analysis, and database design. The tasks were easy to follow and gave me a better understanding of how data can be used to generate useful business insights and support decision-making.

Student, Shri Shankaracharya Institute of Engineering and Technology

I really liked how this project expanded on what I learned in my Generation Australia course. While my bootcamp covered structured data cleaning, SQL, and visualization, this simulation gave me my first real taste of unstructured data analysis. Now I feel confident in how to analyze social text, derive sentiment insights, and design a database to store it

Student, University of the Western Cape