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at Practical Programming - Flatbush - Ditmas Park
Flatbush - Ditmas Park, Brooklyn
Live Online Webinar
New York, New York 10001 (Map)
|Class Level||All levels|
|Age Requirements||18 and older|
|Average Class Size||25|
In this certificate, students will learn how to use Python to pull, clean, analyze, visualize, and eventually predict off financial data. This program prepares students for entry-level positions in data science and financial technology as well as upskills any financial analyst.
Master Advanced Python to Analyze Financial Data
Learn Python with an emphasis on data extraction, analysis, and visualization. Master the intricacies of the Python language, including a deep understanding of Python libraries of NumPy, Pandas, Matplotlib.
Use Machine Learning to Build Financial Models
Learn how to apply advanced statistical concepts such as regression to build a predictive returns model on real-world financial data. Understand pivotal financial ratios and apply machine learning techniques to build valuation models.
Algorithmic Trading using Python
Learn how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. Master trading strategies such as exponential moving average (EMA), Moving Average Convergence Divergence (MACD), and backtesting.
What You’ll Learn
Courses in the Certificate Program
This is the recommended order, but some courses may be taken in a different order
Python for Finance Immersive
Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling.
Machine Learning & Automation for Finance
This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. After learning this first module, students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression.
The next section of the course will introduce students to important financial statements and ratios. After students learn these financial concepts, they will be introduced on how to pull data from these statements and compute these important financial ratios using Python
Algorithmic Trading with Python
As people get busier and busier, we want to automate as much as we can day to day including our investments. Using Python, this class will teach you how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. Students learn how to connect their Python scripts with an online trading brokerage, how to place and query stock orders, and are introduced to Machine learning as it applies to properly value an Option.
Learn more about FinTech Bootcamp at Practical Programming.
To reschedule or cancel, email us at [email protected]
All courses include a non-refundable registration fee (10% of the undiscounted course price).
Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.
Get quick answers from CourseHorse and past students.
Practical Programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.
No coding experience needed, anyone who would like to learn how to code...
This school has been carefully vetted by CourseHorse and is a verified NYC educator.
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