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Overview
Context
Enhance your Python financial skills and learn how to manipulate data and make better data-driven decisions.
You’ll begin this Applied Finance in Python course offered by Data Camp by discovering how to mitigate risk exposure, and use the Monte Carlo simulation to model probability. Next, you’ll learn how to rebalance a portfolio using neural networks. Through interactive coding exercises, you’ll use powerful libraries, including SciPy, statsmodels, scikit-learn, TensorFlow, Keras, and XGBoost, to examine and manage risk.
You’ll then apply what you’ve learned to answer questions commonly faced by financial firms, such as whether or not to approve a loan or a credit card request, using machine learning and financial techniques.
Along the way, you’ll also get hands-on with real datasets that feature Microsoft stocks, historical foreign exchange rates, and cryptocurrency data. Start this track to advance your Python financial skills.
Programme Structure
Courses
- Portfolio Risk Management in Python
- Quantitative Risk Management in Python
- Credit Risk Modeling in Python
- GARCH Models in Python
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Financial Technology View 63 other Short Courses in Financial Technology in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- The Applied Finance track is suitable for beginners. It covers the basics of portfolio risk management, credit risk modeling, quantitative risk management, and GARCH modeling in Python.
- The Applied Finance track will give financial professionals the skills needed to analyze data and answer common questions faced by the industry. Some job titles that may benefit from this track include financial analysts, quantitative analysts, risk managers, and credit analysts.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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