Explore Practical’s In-Person or Virtual Campus
185 Madison Ave, NYC
Centrally located in New York City, Practical Programming’s Midtown Manhattan campus features a spacious common area and bright, modern classrooms with state-of-the-art computers and projectors. We provide high-speed Internet, full-time IT support, and PC and Mac desktops loaded with the software you’ll need. If you require assistance during your class, our instructors and staff are available to help. Free coffee and food storage are available to help you stay powered up while you learn.
Practical Programming’s classes are taught by experts in their respective fields. This ensures that you learn in-demand and current skills needed in your career. You’ll learn from seasoned designers, developers, marketers, data scientists, and analysts. Most of them have their own freelancing or consulting practice which helps keep them current with the latest industry trends.
Practical Programming’s typical class ranges from 8–12 students, but we accept up to 20 students.
For all in-person classes, we provide computers with the software, so you can travel light. You can bring a pen and notebook to take notes if you'd like.
We will email you prior to the course if your course requires additional materials. For instance:
All our classes are taught with projects and exercises and are hands-on. There are instructor demos or lectures throughout the course, but students spend most of the time working on exercises and mini-projects with guidance from the instructor. This hands-on instructional method ensures that participants can apply their skills right after the course.
You have some options:
For day classes that run 10am to 5pm, there is a one-hour lunch break typically around 1pm. The exact break time may vary. There may also be some shorter (5-10 minute) breaks throughout the course depending on the session's pacing.
For evening classes, there are only short breaks.
For most classes, a complimentary book or training manual is provided (physical copy for in-person attendees, and eBook for remote attendees). See the individual course page for more details.
All times are listed in Eastern Time unless otherwise specified.
May 2022 | |||
---|---|---|---|
May 23–25
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. |
|
May 24–June 9
Monday to Thursday
10–5pm
|
$2,995
60 Hours
NYC or Live Online
|
Build dynamic web applications with React. In this bootcamp, you’ll build several fully-functioning web apps. |
|
June 2022 | |||
June 4–July 9
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. |
|
June 6–22
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. |
|
June 13–July 1
Weekdays
10–5pm
|
$3,995
90 Hours
NYC or Live Online
|
Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. |
|
showing 5 of 107 courses
Remote, from anywhere
As an alternative to in-person learning, Practical Programming provides a premium virtual classroom experience. Our live online training is hands-on and interactive, just like the in-person training. You’ll be able to talk with your instructor and classmates, ask questions, and share your screen throughout the course. Unlike pre-recorded training, your instructor will be present to give demonstrations and guide you through projects. All class files and workbooks are made available electronically at no additional cost. We provide setup assistance to all students who require it to ensure your class is free of technical issues.
Our live online training is interactive and hands-on just like our in-person classes. Learn more about the live online experience at Practical Programming.
Students must have a Mac or PC available and a strong internet connection.
Each class requires a different software. See the class page for more information or email us at class@programwithus.com.
We will work with participants prior to the class date to ensure that everything
There are no additional costs payable to Practical Programming for live online training. Students may be required to purchase a license for the software if a free trial is not available.
Email us if you need assistance.
You have some options:
For day classes that run 10am to 5pm, there is a one-hour lunch break typically around 1pm. The exact break time may vary. There may also be some shorter (5-10 minute) breaks throughout the course depending on the session's pacing.
For evening classes, there are only short breaks.
For most classes, a complimentary book or training manual is provided (physical copy for in-person attendees, and eBook for remote attendees). See the individual course page for more details.
All times are listed in Eastern Time unless otherwise specified.
May 2022 | |||
---|---|---|---|
May 23–25
Monday to Wednesday
10–5pm
|
$1,295
18 Hours
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. |
|
May 24–June 9
Monday to Thursday
10–5pm
|
$2,995
60 Hours
Live Online
|
Build dynamic web applications with React. In this bootcamp, you’ll build several fully-functioning web apps. |
|
June 2022 | |||
June 4–July 9
Saturdays
10–5pm
|
$1,895
30 Hours
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. |
|
June 6–22
Mondays & Wednesdays
6–9pm
|
$1,295
18 Hours
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. |
|
June 13–July 1
Weekdays
10–5pm
|
$3,995
90 Hours
Live Online
|
Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. |
|
showing 5 of 107 courses