Featured Student Project

Tackling Credit Card Fraud in US

To investigate distribution of fraud cases across gender and age groups. Identify regions in the US that are susceptible to credit card fraud. Determine the typical times when credit card fraud incidents commonly occur.

Neo Si Yang, Data Analytics Bootcamp Alumni

Background

A bank manager from Remora, a multinational bank from US, received feedback that there has been a rise of complaints from customers due to unauthorised credit card transactions. The bank manager instructed a data analyst from the fraud department to investigate the underlying patterns behind credit card frauds and what are the possible measures to protect their customers from being a credit card fraud victim.

  • Investigate distribution of fraud cases across gender and age groups.
  • Identify regions in the US that are susceptible to credit card fraud.
  • Determine the typical times when credit card fraud incidents commonly occur.
  • Examine what are the risky merchant categories.
  • Propose business recommendations based on previous findings.
Tackling Credit Card Fraud in US Background Vertical Institute
Tackling Credit Card Fraud in US Victim Records Vertical Institute
Tackling Credit Card Fraud in US Recommendations Vertical Institute

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With businesses becoming increasingly data-driven, data analytics skills are highly sought after in Singapore’s competitive job market. Companies across industries rely on data analysts to make informed decisions, identify trends, and uncover opportunities.

The field of data analytics offers a unique blend of technical proficiency and strategic thinking. You’ll master tools like Excel, Tableau, and SQL, and apply them to solve complex problems using data. Analyze, visualize, and communicate insights that drive impactful business outcomes.

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About The Author

Author Profile
Neo Si Yang Data Analytics

Skills

Microsoft Excel Tableau Data Visualisation Data Cleaning

Certification

Vertical Institute

Data Analytics Bootcamp

Vertical Institute

Learn more about our Data Analytics course today!