Python and Finance
Python is embraced by quants
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Participants can interact with the instructor,
ask questions, seek clarification,
and receive immediate feedback. -
You can receive a full refund before
the second session. After attending
the second session, you will not be eligible
for a refund. -
Access to the session that was originally
conducted in real time. -
You can retake the same course you attended.
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We will provide you with the notes for the course.
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We will provide you with the homework
assignments for additional practice. -
You can always reach out to the instructor
between sessions or after the course on Slack.
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Python's interactive and dynamic nature allows for quick prototyping and experimentation, facilitating the testing of financial models and strategies.
Python's versatility, extensive libraries, and ease of use make it a compelling choice for finance professionals looking to leverage programming and data analysis in their work. Its flexibility and ability to handle various financial tasks make it an essential tool in modern financial analysis, modeling, and decision-making.
Join our immersive workshop where you'll delve into the world of financial data collection and analysis, harnessing the power of Python to transform your approach to portfolio management. Dive deep into gathering crucial data, spanning stock prices, options prices, fundamental indicators, and economic statistics.
In this comprehensive course, we'll guide you through the intricacies of balancing your stock portfolio using the Modern Portfolio Theory. Discover how Python libraries can be your tools of choice to implement advanced strategies, optimize asset allocation, and maximize returns.
Navigate the realms of risk assessment with the creation of a Value At Risk (VaR) model, and unveil the potential of Montecarlo simulation techniques to predict and manage portfolio fluctuations effectively.
But that's not all—explore a diverse array of Python libraries tailored for finance, enabling you to expand your toolkit and enhance your financial decision-making capabilities. Elevate your financial prowess and empower yourself with the skills to navigate the complexities of the financial world.
What to expect
2 nights workshop June 13th and June 18th from 6.00pm - 9.00pm
Prerequisites
No Prerequisites.
Instructors
Art Yudin
Testimonials
I loved Art! He’s super patient and answers all questions! I recommend this class for all python beginners!! I had no knowledge of python prior to this class
Always enjoy taking a class with Art. He is knowledgeable and on top of his game. His class is quick paced but easy to follow... is patient with questions
I took Introduction to Python and Web Scrapping with Art and the class was great!
Took Python for Data Science Immersive with Art. Great instructor! Boost my knowledge within very short time frame!
Art is very thorough, helpful and able to break down content in a way it is easily digestible by those in attendance.
Art is great. Very generous with time and knowledge and truly helpful. Great if you have no programming knowledge or if you're a more advanced student.
Art is super helpful and attentive to every question.
Art teaches Python in a very understandable way.
Art has a ton of experience in teaching the basics of python to people who have no previous coding experience. The class format is great - we start with lectures and go right into practice problems to use what we just learned. 100% would recommended!
Art does a great job meeting everyone at their level and making sure that everyone feels challenged.
Questions? Check here
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data.
While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data. While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.