FinTech Dev and Data
Financial Modeling Courses, Tutorials, Reference Material and Glossary
For those in Finance it's time to learn a programming language. If you
code already, next up is scientifically analyzing data.
Go beyond the spreadsheet - Accelerate your
career and bridge from the spreadsheet to a programming language.
Data overload - Avoid getting lost in the myraid of
data points thrown at you every day.
Formula notation - Rely less on greek symbols and
focus on concepts.
Viewpoints - Filter through opinions,
philosophies, biases and sales pitches.
Have a plan - Use an academically conceived
roadmap that is built practically.
Structure - Build a structured process around how
you see the world one step at a time leaning on technology, so it's
measurable and repeatable.
Stay ahead - Keep your advantage and stay ahead of
Updated: July 17, 2020
If that sounds like where you want to go. Keep reading.
What Can You Learn Here?
We lean on advancements over the last 60 years in Finance highlighting
changes brought on by the proliferation of computers.
- History - portfolio theory, academic influences,
- Philosophy - fundamental, technical, quantitative,
- Process - portfolio management, risk management,
- Practice - software vendors, experience, insights,
pitfalls to avoid
- Technology - Excel and the Python scientific
From there we highlight future directions and technologies, like
Python, MySQL databases and publishing in the cloud.
If crunching numbers with Python is your thing, our
supplement what you learn here.
Tutorials in Finance
Tutorials are freely accessible here and on YouTube so have a look around.
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Upcoming Tutorials and Reference Material
The following projects are under continued development.
- Quant 101
- Additional Glossary terms
- Additional Innovators
Please tell us where you'd like us to focus. Reach us on social media.
Don't lose track of this valuable and growing resource. Subscribe now.
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