| 1 - Introduction.mp4 | 21.3 MB | ||
| 10 - Control Structures Looping.mp4 | 95.5 MB | ||
| 11 - Functions Basic Functional Programming.mp4 | 112.1 MB | ||
| 12 - Intermediate Functions.mp4 | 70.5 MB | ||
| 13 - Dictionaries and Advanced Data Structures.mp4 | 186.8 MB | ||
| 14 - Modules Packages Importing Libraries.mp4 | 140.8 MB | ||
| 15 - File Handling.mp4 | 78.3 MB | ||
| 16 - Exception Handling Robust Code.mp4 | 180.6 MB | ||
| 17 - Basic ObjectOriented Programming OOP Concepts.mp4 | 131.1 MB | ||
| 18 - Data Visualization Basics.mp4 | 136.3 MB | ||
| 19 - Advanced List Operations Comprehensions.mp4 | 121.9 MB | ||
| 2 - Course Overview.mp4 | 26.5 MB | ||
| 20 - Introduction to Financial Markets.mp4 | 143.4 MB | ||
| 21 - Economic Modeling with Python.mp4 | 105.1 MB | ||
| 22 - Optimization and Risk Management with SciPy.mp4 | 120.1 MB | ||
| 23 - The End.mp4 | 23 MB | ||
| 3 - Mathematical Foundations for Finance.mp4 | 67 MB | ||
| 4 - Basic Finance Concepts.mp4 | 320.4 MB | ||
| 5 - What is Python.mp4 | 35.7 MB | ||
| 6 - Anaconda Jupyter Visual Studio Code.mp4 | 24.2 MB | ||
| 7 - Setup.mp4 | 66 MB | ||
| 8 - Python Syntax Basic Operations.mp4 | 209.7 MB | ||
| 9 - Data Structures.mp4 | 97.9 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Crypto Downloads Here.url | 204.8 B | ||
| ▲ 25 total files | |||
Python For Finance: Data Analytics And Investment Strategies
https://FreeCryptoLearn.com
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.46 GB | Duration: 6h 51m
Master Python for Finance: Data Analytics, Investment Strategies, and Machine Learning Applications
What you'll learn
Gain proficiency in Python programming for financial data analysis, including data preprocessing, visualization, and advanced statistical techniques.
Understand and apply key investment strategies, portfolio optimization methods, and risk management techniques in real-world scenarios.
Learn to implement machine learning and reinforcement learning models for financial applications, such as algorithmic trading and credit risk assessment.
Master advanced financial concepts like derivatives pricing, Monte Carlo simulations, and time series analysis using Python.
Requirements
A basic understanding of finance concepts is helpful but not mandatory.
No prior programming experience is required; all necessary Python fundamentals are covered.
A computer with internet access to install Python and required libraries.
A willingness to learn and explore finance and Python programming.
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