Our FinTech Bootcamps courses are instructor-led in our Manhattan classrooms or live online (virtual learning).
Learn Python for financial analysis, machine learning, and SQL from experienced finance & engineering professionals in this 102-hour 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.
From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.
All times are listed in Eastern Time unless otherwise specified.
| September 2022 | |||
|---|---|---|---|
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September 19–21
Monday to Wednesday
10–5pm
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$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. |
|
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September 19–October 26
Mondays & Wednesdays
6–9pm
|
$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. |
|
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September 28–October 4
Wednesday to Tuesday
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. |
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| October 2022 | |||
|
October 15–29
Saturdays
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. |
|
|
October 31–November 30
Weekdays
10–5pm
|
$4,495
102 Hours
NYC or Live Online
|
Learn Python for financial analysis, machine learning, and SQL from experienced finance & engineering professionals in this 102-hour immersive. |
|
|
October 31–November 16
Mondays & Wednesdays
6–9pm
|
$1,295
18 Hours
NYC or Live Online
|
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. |
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| November 2022 | |||
|
November 7–9
Monday to Wednesday
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. |
|
|
November 12–December 17
Saturdays
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. |
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November 14–18
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. |
|
|
November 28–30
Monday to Wednesday
10–5pm
|
$1,295
18 Hours
NYC or Live Online
|
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. |
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