Python for Finance: Investment Fundamentals & Data Analytics

Learn Python Programming and Conduct Real-World Financial Analysis in Python - Complete Python Training
4.44 (28423 reviews)
Udemy
platform
English
language
Financial Modeling & Ana
category
instructor
Python for Finance: Investment Fundamentals & Data Analytics
138 601
students
9 hours
content
Apr 2025
last update
$19.99
regular price

Why take this course?

🚀 Python for Finance: Investment Fundamentals and Data Analytics 📈


Embark on Your Financial Analysis Journey with Python!

Are you eager to dive into the world of Python programming and unlock its potential in the finance sector? Whether you're a coding novice or an experienced programmer looking to specialize, this course is your gateway to mastering Python for investment analysis. 🛣️


Course Overview:

For Beginners & Pros Alike!

  • Foundational Coding Skills: If you're starting from scratch, fear not! We'll guide you through the basics of Python, ensuring everyone is on the same page before we dive into finance. 🧙‍♂️

  • Financial Fundamentals: As you build your coding confidence, we'll introduce key financial concepts. You'll learn to calculate and interpret metrics that are essential for any finance professional:

    • Return and Risk of Stocks
    • Portfolio Performance
    • Stock Correlation and Covariance
    • Diversifiable vs. Non-Diversifiable Risks
    • Regression Analysis and Coefficients (Alpha & Beta)
    • R-Squared for Explanatory Power
    • Markowitz Efficient Frontier
    • Capital Asset Pricing Model (CAPM)
    • Sharpe Ratio
    • Multivariate Regression Analysis
    • Monte Carlo Simulations and Applications in Finance
    • Derivatives, Black Scholes Formula, and Options & Stock Pricing
  • Advanced Financial Instruments: You'll not only understand these concepts but also learn to apply them using Python, making you a formidable candidate for any finance role. 📊


Why Choose This Course?

  • Practical Finance & Programming Skills: Unlike other courses that focus solely on one area, we blend both worlds, giving you a comprehensive skill set. 🏗️

  • High Production Value: We believe learning should be engaging! Expect crystal-clear HD videos and informative animations. No snooze-fest lectures here! 🎬

  • Expert Instructors: Meet Martin, a quant analyst with a passion for data science, and Ned, a finance pro with years of experience. Their combined knowledge will demystify the most complex financial concepts. 🧠

  • Complete Training & Case Studies: We cover all the major Python and finance topics you need to know and provide real-life case studies to reinforce your learning. 📚

  • Interactive Experience: Engage with our Course Challenge and make the most of your learning journey through hands-on exercises. 👨‍💻

  • Excellent Support & Pace: With swift responses to your questions, and a pace set by experienced instructors, you'll never feel lost or behind. 🚀

  • Money-Back Guarantee: We stand behind our course with Udemy's 30-day guarantee because we're confident in its value for your career. 🏆


Ready to Begin?

Don't wait any longer to unlock your potential in Python and finance! With this comprehensive training, you'll be well on your way to a new career or a significant upgrade to your current role. 🛣️✨

Click 'Buy Now' to Start Your Learning Journey Today! 🚀


Join us and transform your skills with the power of Python in the finance sector. Enroll now and take the first step towards a rewarding career in data analytics and investment analysis! 🌟

Course Gallery

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Comidoc Review

Our Verdict

Python for Finance: Investment Fundamentals & Data Analytics course offers valuable insights into Python's use in finance with exposure to key libraries, advanced topics, and well-paced lessons. However, be prepared to face outdated content, lackluster presentation, limited practical examples, and unengaging coding exercises that need improvement. Updates addressing these issues would significantly enhance the overall educational experience for aspiring data scientists.

What We Liked

  • Comprehensive coverage of key libraries used in finance
  • Impressive exposure to advanced topics like Black-Scholes and Monte Carlo simulations
  • Well-paced lessons for concept reinforcement
  • Helpful inclusion of CSV files for continuing the course despite API issues

Potential Drawbacks

  • Outdated content, particularly in regard to the Yahoo Finance API and Python 2 usage
  • Limited practical examples and unengaging presentation
  • Lack of flexible coding exercises and proper feedback mechanisms
  • Quizzes that test no practical knowledge and insufficient for skill assessment
1035472
udemy ID
08/12/2016
course created date
28/06/2019
course indexed date
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course submited by