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.
Classes available in-person (strict social distancing) or live online with an extended free retake period. See details.
Discover Python, the world’s most popular programming language. Used for data science, machine learning, and finance, Python is the best way to upskill or break into tech. Learn in-person at a class in New York or live online.
Learn Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career.
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 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.
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.
Learn to code in this beginner hands-on Python programming course. This course is designed to give you a comprehensive understanding of Python programming fundamentals and get you coding on your own. You'll learn how to professionally structure your programs and solve real-world challenges using Object-Oriented Programming. You'll also work on your own coding projects for your portfolio, and learn the common questions asked in a Python job interview.
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 Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career.
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 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.
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.
I didn't expect to learn much in a 4 session Python course, but Art's teaching style was very fitting for me. As the Chinese proverb states: Tell me, I'll forget. Show me, I'll remember. Involve me, I'll understand.
—James C.
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour 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.
This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. Students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression. We will then introduce students to important financial statements and ratios, and how to pull data from these statements and compute these important financial ratios using 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.
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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.
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.
Python’s easy to read syntax and versatile practical applications makes it the best programming language for beginners in 2020. Learn practical applications of Python like financial analysis, data collection automation, data analysis for predictions, or take it a step further with Machine Learning.
It’s the most convenient way to upskill so that you can start contributing valuable insights to your company or land your first job in data science. Python careers are projected to grow more than four times faster than most industries.
Whether new to Python but not programming, you’re a beginner, or an Excel expert, you’ll fit right in here. Take just one course to become the MVP at your firm, may we suggest our FinTech Bootcamp? Or enroll with a bundle and dive into a new career in Data Science with our Data Science Certificate.
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).
Python is a programming language that was created in 1991 to make coding fun and fast by using English-like code and lots of white space. It’s easy to learn, has a strong global support network, and is regarded as the most versatile progr...
Python is one of the world’s most popular programming languages, and for good reason. Hundreds of companies use Python for data science, machine learning, web development, app development, and fintech. Large companies can easily collabora...
Python libraries and frameworks are one of the major benefits of Python. A framework is like a blueprint while a library is more like a module. They’re both chunks of reusable code that are secure and standard. Sometimes the words library...
Data Science is used by businesses and researchers alike to find meaningful insights into the numbers. IT, e-commerce, healthcare, news organizations, political campaigns, and more are using data science to maximize their work. In 2018,
Python is one of the most popular programming languages in the world. It’s remarkably versatile while also being easy to learn. Python is perfect for beginners because it’s simple syntax and object-oriented compatibility make it mor...
Just printing hello world is not enough, is it? You want to do more than that - you want to take some input, manipulate it and get something out of it. We can achieve this in Python using constants and variables, and we'll learn some other concepts as well in this chapter.
Machine learning uses data to teach a machine how to make an informed decision based on patterns in datasets. Python can be used for every stage of machine learning from data extraction to the development of complex algorithms. Python’s m...
Python is one of the most in-demand programming languages for those working in the financial services sector. The ...
All times are listed in Eastern Time unless otherwise specified.
March 2021 | |||
---|---|---|---|
March 29–April 2
Monday to Friday
10–5pm
|
$1,495
30 Hours
NYC or Live Online
|
Learn Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career. |
|
March 29–April 15
Weekdays
10–5pm
|
$3,495
84 Hours
NYC or Live Online
|
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. |
|
March 29–April 14
Mondays & Wednesdays
6–9pm
|
$1,295
18 Hours
NYC or Live Online
|
This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. Students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression. We will then introduce students to important financial statements and ratios, and how to pull data from these statements and compute these important financial ratios using Python. |
|
March 30–April 29
Tuesdays & Thursdays
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. |
|
April 2021 | |||
April 5–9
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. |
|
April 15
Thursday
10–5pm
|
$425
6 Hours
NYC or Live Online
|
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. |
|
April 19–28
Mondays & Wednesdays
6–9pm
|
$895
12 Hours
NYC or Live Online
|
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. |
|
April 24–May 22
Saturdays
10–5pm
|
$1,495
30 Hours
NYC or Live Online
|
Learn Python and boost your career with data science. You’ll learn the world’s most popular programming language through real-world dataset analysis. Manipulate data, learn how to make predictions, and gain the foundational skills you need to use Python on the job or start your data science career. |
|
April 24–August 7
Saturdays
10–5pm
|
$3,495
84 Hours
NYC or Live Online
|
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. |
|
May 2021 | |||
May 17–21
Monday to Friday
10–5pm
|
$1,895
30 Hours
NYC or Live Online
|
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. |
|
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