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.
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.
In this 10-week certificate, students will learn all the necessary skills to become data scientists. This immersive course teaches students the programmatic side of data science using Python and SQL. Additionally, students will be taught all the necessary mathematical foundations to data science such as statistics, probability, and linear algebra. After completing this certificate, students will be able to apply for the following roles: data scientist, data analyst, business analyst, and many more. Noble Desktop will support students in their effort to find jobs by helping students with resume, interview prep, and introducing students to companies looking to hire engineers.
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 for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.
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.
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.
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.
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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.
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).
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...
Data Science is a relatively new field in the tech world. There are organizations in nearly every industry going digital and with the transition comes huge amounts of data. Data is extremely useful for business. Data scientists and analysts are...
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...
All times are listed in Eastern Time unless otherwise specified.
January 2021 | |||
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January 26–February 25
Tuesdays & Thursdays
6–9pm
Registration closing soon
|
$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. |
|
February 2021 | |||
February 1–5
Monday to Friday
10–5pm
Registration closing soon
|
$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. |
|
February 22–April 28
Weeknights
6–9pm
|
$2,995
60 Hours
NYC or Live Online
|
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive. |
|
February 23–May 27
Weeknights
6–9pm
Online Only
|
$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 2021 | |||
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 17–July 31
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 17–28
Weekdays
10–5pm
|
$2,995
60 Hours
NYC or Live Online
|
Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive. |
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