Take a step beyond normal programming, into using algorithms that can independently learn patterns and make decisions. Machine learning skills are in high demand, as these algorithms now run the majority of trading on Wall Street and the product recommendations at big companies like Amazon, Spotify, and Netflix.
Learn advanced Python and statistic topics such as object-orientated programming and regression models. Then apply these concepts by using real-world financial data to build a predictive returns model. You'll get to know the ins and outs of financial statements, practice pulling data from these statements, and compute important financial ratios using Python.
Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.
Learn the analytical skills and programming languages to break into finance technology. Master Python for data science, finance, and machine learning. Learn SQL to query databases. Create your own final project.
Pick up Python fundamentals and quickly transition into analyzing real-world datasets. You will learn to how to clean and combine data, as well as generate useful statistics and visualizations. The final sessions will be focused on using linear regression to extrapolate from data and make predictions.
Master the major Python financial libraries to gather and manipulate financial data. Use APIs to fetch financial, company, and economic data. Analyze financial statements from the SEC website, including ratios derived from the income statement and balance sheet. Build risk management models and apply linear regression to predict stock prices.
Learn Python to extract data from websites. Along the way, you’ll learn how to write loops so that your web scraping code can process a large number of pages.
In this SQL Bootcamp, you'll learn everything from foundational concepts such as data types and basic queries to more advanced topics like aggregating and joining.
Build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. In this course, you'll learn how to connect their Python scripts with an online trading brokerage, how to place and query stock orders, and basic machine learning as it applies to properly value an option.
Work on projects proven to boost retention
Refined over many cohorts for an optimal learning experience
Experienced educators who are driven to help you succeed
Refresh the materials and gain additional practice
Learn the concepts and skills covered in this program or your tuition is on us. See details and terms & conditions.
The teaching method at Noble Desktop is perfect and the classes provide you with infinite knowledge that makes you eager to take everything they offer. I love Noble!
—Ivonne Ackerman
“Noble Desktop is far and away the most efficient way of gaining computer graphics skills. They give real-world exercises to work on, teach best practices, and inspire many an ‘aha!’ moment. Highly recommended.”
Joanne Hu
Since 1990 we have perfected the craft of teaching. If students get hung up on an issue, we tweak the class to make it better. We’re the longest running independent training center for code and design in NYC.
From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.
You can attend training live online at the scheduled time the course is offered (New York, Eastern Time) through screen-sharing software Zoom (free for you).
