This course is designed to equip doctoral students and early career researchers in accounting and finance with foundational and practical skills in Python programming, tailored specifically for empirical research. We will cover core programming concepts, data manipulation techniques, and statistical analysis methods using Python. Emphasis will be placed on applications to real-world accounting and finance data, such as Compustat, CRSP, and textual data. Through hands-on assignments and coding exercises, students will learn how to efficiently clean data, perform statistical testing, and visualize results. The goal is not only to become competent in coding but also to use Python as a tool to enhance the quality and efficiency of academic research.

Unlock the Power of AI: Join the AFAANZ Pop-Up Forum!

Ready to lead your department into the future? Don’t miss the AFAANZ inaugural Pop-Up Forum on 12 September 2025 at the Auckland CA ANZ offices! Connect with trailblazing speakers from both industry and academia as they share real-world insights at the cutting edge of AI.

• Boost your expertise in artificial intelligence with hands-on, interactive workshop sessions.
• Network with thought leaders and peers passionate about innovation in accounting and finance.
• Take actionable skills back to your department and make a real impact

Unlock the Power of AI: Join the AFAANZ Pop-Up Forum!

Ready to lead your department into the future? Don’t miss the AFAANZ inaugural Pop-Up Forum on 12 September 2025 at the Auckland CA ANZ offices! Connect with trailblazing speakers from both industry and academia as they share real-world insights at the cutting edge of AI.

• Boost your expertise in artificial intelligence with hands-on, interactive workshop sessions.
• Network with thought leaders and peers passionate about innovation in accounting and finance.
• Take actionable skills back to your department and make a real impact