Hands-on Training
In our hands-on programming courses, you'll dive into coding within the first 10 minutes of training. After watching a professional demo, students work through hands-on exercises to gain real-world programming experience.
Our FinTech Bootcamps courses are instructor-led in our Manhattan classrooms or live online (virtual learning).
Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You will start by working with financial APIs to fetch financial, company, and economic data. We will analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will build a risk management models using Python libraries to create VAR models and Monte Carlo simulation. We will learn how to apply statistical measures such as linear regression to financial uses such as stock prices.
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.
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 to answer business questions with a database, the ultimate system of record for most organizations. As every industry becomes more data-driven, the value of learning SQL will only grow into the future.
Drive team performance and efficiency with Practical’s industry-leading training. Send employees to our group classes or create a custom training program onsite.
Get a Free QuoteIn our hands-on programming courses, you'll dive into coding within the first 10 minutes of training. After watching a professional demo, students work through hands-on exercises to gain real-world programming experience.
Professional instructors will guide you through programming exercises throughout our courses, and you'll receive feedback regarding alternative solutions and best practices. Classes are kept small to give students as much individual attention as possible.
All times are listed in Eastern Time unless otherwise specified.
December 2024 | |||
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December 4–6
Wednesday to Friday
10–5pm
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$975
18 Hours
NYC or Live Online
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Learn to answer business questions with a database, the ultimate system of record for most organizations. As every industry becomes more data-driven, the value of learning SQL will only grow into the future. |
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December 4–January 3
Weekdays
10–5pm
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$4,995
114 Hours
NYC or Live Online
|
Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive. |
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December 16–20
Monday to Friday
10–5pm
|
$1,895
30 Hours
NYC or Live Online
|
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. |
|
January 2025 | |||
January 21–23
Tuesday to Thursday
10–5pm
|
$975
18 Hours
NYC or Live Online
|
Learn to answer business questions with a database, the ultimate system of record for most organizations. As every industry becomes more data-driven, the value of learning SQL will only grow into the future. |
|
January 21–February 14
Weekdays
10–5pm
|
$4,995
114 Hours
NYC or Live Online
|
Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive. |
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