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Tips & Insights on Finance & AI

Accelerate your finance career by using AI and Python

Published almost 2 years agoΒ β€’Β 2 min read

Hi Reader,

These days, knowing Excel is pretty much expected.

But if you're in Finance and really want to stand out, learning Python can make a big difference.

Why does this matter?

​Excel is great, but it hits a wall when you deal with big data or need to automate tasks.

Python steps in to handle those challenges smoothly, which is why picking up Python is becoming so crucial for us.

This week, I will show you the stages of mastering AI for Finance, the path of mastering Python, and how you can learn it in just 4 hours.

Nicolas

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Knowing Excel is expected, but to really stand out, learning Python and using AI can set you apart.

With AI and Python, you can perform much more complex computations on bigger data.

You can use it for:

  • Financial analysis on large datasets
  • Visualization
  • Data cleaning
  • Finance automation
  • Forecasting using AI models
  • Build your own GPT for finance

The good news? No need to learn how to code anymore: Leverage GenAI tools like ChatGPT to simplify Python coding.

You can learn all this with the special method Christian Martinez and I are teaching: ChatGPT + Python.

We already taught more than 150s CFOs, FP&A managers, Financial Analysts, and Consultants how to use this combo in just 4 hours.

​Our course is unique because it’s super practical. We focused on giving you the knowledge you need to unleash the power of AI with ChatGPT and Python.

The seats are limited, so book your spot today and save $200.

The Road to Master Python

Learning how to use AI for finance is not hard; however, it is easy if you have the right guidance.

Here are the stages you have to go through:

Phase 1: Basics

  • Learn about Google Colab
  • Add your data to the Python environment
  • Use Python as a Pivot Table
  • Handle first Python error with ChatGPT
  • Use ChatGPT to generate code
  • Learn about Python libraries for Finance

​
​Phase 2: Visualization

  • Simple bar chart in Python
  • Box plot for statistical analysis
  • Correlation analysis with Heatmap
  • Learn about Seaborn Library
  • Customize any data visualization
  • Create your first dashboard using Plotly

​
​Phase 3: Automation

  • Clean up data using Python
  • Automate any simple finance task
  • Merge 3 files together
  • Automate Excel report generation
  • Create a Monte Carlo Simulation
  • Calculate Net Present Value
  • Do statistical analysis with Python
  • Retrieve data from a stock using the YF library

What is your experience of using AI for finance?

Let me know!

I hope you enjoyed this email.

Looking forward to reading your questions and responses!

Nicolas

P.S.: Advanced ChatGPT for Finance is the only course that will give you the methodology and the use cases for ChatGPT / Copilot / Gemini for Finance and Accounting. Join this cohort course to be part of the innovative group of Finance Professionals who want to leverage AI for their career. On top of that, you will save 50% only this week.

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Tips & Insights on Finance & AI

by Nicolas Boucher

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