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Here’s What You Get:

 

• 20 hours of recorded content across 20 modules and 134 lessons
• An experienced, hands-on instructor to guide you every step
• 1,000s of lines of quant code you can use to kick start your projects
• A 1,300+ strong community of like-minded beginners to crowd-source answers, code, and strategies
• A structured, step-by-step path to getting outcomes with Python
• Accountability and support to help you when you hit a speedbump

 

Module 1: Introduction to Python

This module introduces participants to the Python programming language, its syntax, and its applications in finance. Topics include:

• Setting up the Python environment
• Basic data types and structures
• Control structures and functions
• Working with libraries

 

Module 2: Data Analysis with Python

Participants learn to manipulate and analyze financial data using Python libraries such as Pandas and NumPy. Key topics include:

• Data importing and exporting
• Data cleaning and preprocessing
• Exploratory data analysis techniques
• Visualizing data with Matplotlib and Seaborn

 

Module 3: Quantitative Finance Concepts

This module delves into core quantitative finance concepts, including:

• Time series analysis and forecasting
• Risk and return assessments
• Portfolio optimization methods
• Backtesting trading strategies

 

Module 4: Algorithmic Trading

In this advanced module, participants gain insights into algorithmic trading strategies and systems. Topics covered include:

• Exploring trading algorithms and frameworks

 

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