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.
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, machine learning, and data visualization. Learn Python programming fundamentals, analyze and visualize data with Python's powerful libraries, 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 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, data visualization, and SQL from experienced finance & engineering professionals in this 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, machine learning, and data visualization. Learn Python programming fundamentals, analyze and visualize data with Python's powerful libraries, 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.
Learn the concepts and skills covered in these courses or your tuition is on us. See details and terms & conditions.
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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.
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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.
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.
Attend courses in-person in NYC or Live Online via Zoom. Engage with expert instructors, ask questions, and get feedback on your exercises and projects.
Unlike other providers, these are not mass open-enrollment classes. At Practical Programming, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
Get the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.
All times are listed in Eastern Time unless otherwise specified.
December 2024 | |||
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December 21
Saturday
10–5pm
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$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. |
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December 23
Monday
10–5pm
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$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. |
|
December 23–January 29
Mondays & Wednesdays
6–9pm
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$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. |
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December 28–January 25
Saturdays
10–5pm
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$1,695
24 Hours
NYC or Live Online
|
Manipulate and visualize data in this hands-on course, where you'll learn about data stories, dashboard design and Python's most important data visualization libraries. |
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December 30–January 6
Mondays, Thursday, Friday
10–5pm
|
$1,695
24 Hours
NYC or Live Online
|
Manipulate and visualize data in this hands-on course, where you'll learn about data stories, dashboard design and Python's most important data visualization libraries. |
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