Data Science Bootcamp

  • 01/09/2018
  • 6:30PM - 8:30PM
  • The Georges Building, Level 3, 162 Collins St, Melbourne 3000
  • Single Price: $1299+GST; Two Person Discount: $50 OFF

Guest Speakers

John Doe

Alex Ji

Data Science Manager Vocus Communications

Alex is an experienced Data Scientist and Leader having a demonstrated history of working in both commercial and higher education industries. He is experienced in big data analysis and taught at Monash University for almost a decade.

John Doe

Coco Fu

Senior Consultant KPMG

Coco has extensive experience as a Pricing Analyst and Investment Analyst for Suncorp Group and First Guardian Capital, and has previously worked as a Data Analytics Consultant for EY.

Course Highlights

In-depth analysis of the Big 4 firm's data analytics interview cases

Master real life client scenarios and basic Data Science analysis skills "SQL & Tableau"

One-on-One mock interview with a professional Data Scientist, with feedback and advice

One-on-One mock interview with a professional Data Scientist, with feedback and advice

Course Outline

Understand a career as a Data Analyst/ Data Scientist
  • How does a Data Analyst/ Scientist spend their day?
  • What are the challenges and problems that a Data Analyst/ Scientist encounters?
  • What are the necessary skills required? How do you successfully acquire the basic skills?
  • Is a Data Analyst/ Scientist solve business problems in different industries? What type of constructive advice are they able to provide?
  • How do different departments use data science to improve their work in all major industries?
In-depth analysis of Data Analyst/ Scientist interview questions of the Big 4 Firms
  • How is the process structured?
  • How to use big data analysis skills to process data efficiently?
  • How to show your results in order to succeed in the interview?
One on One mock interview with a Senior Data Scientist/ Consultant
  • Common Data Analyst/ Scientist Interview Questions, and analysis
  • Professional Data Scientist/ Consultant mock interview and in-depth feedback

Target Audience

  • Individuals with a determination to succeed in the Data Science industry but with limited work experience and knowledge
  • Have particular background and experience, and determined to improve technical talent
  • Prepared to move into Data Science and have the confidence and motivation to enrich your basic skills