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Udemy
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★ 4.4 (577 تقييم)
Complete Python and Machine Learning in Financial Analysis
Master Python and Machine Learning for financial market analysis with practical coding exercises.
🎯 ماذا ستتعلم وتتقن في هذه الدورة
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Apply Python to financial data cleaning and preparation
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Implement Machine Learning algorithms for market prediction
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Build Deep Learning models for time-series financial forecasting
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Conduct sentiment analysis using NLP on financial news
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Develop algorithmic trading signal generation scripts
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Visualize complex financial datasets with interactive plots
📖 نظرة عامة على الدورة ومراجعة المنهج
This course delivers a practical bridge between Python programming and financial market analysis. Instructor S. Emadedin Hashemi guides learners through applying Machine Learning and Deep Learning techniques to real financial datasets, covering everything from data preprocessing to predictive modeling. The step-by-step coding approach ensures that even those new to finance can follow along and build functional analysis scripts. While the 20.5 hours of content are substantial, the focus remains on tangible skills like time-series forecasting and pattern recognition in market data, making it a solid choice for analysts looking to automate insights.
📚 تفاصيل المنهج الدراسي المنظم
5 وحدات تعليمية أساسية📋 المتطلبات الأساسية والشروط
- None
💼 الوظائف والمسارات المهنية المستهدفة
Financial Analyst
Quantitative Analyst
Data Scientist - Finance
الأسئلة الشائعة حول الدورة (FAQ)
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المدة:
20.5 total hours
الشهادة:
Completion certificate
اللغة:
English
المدرّب:
S. Emadedin Hashemi