Explore NYIM’s In-Person or Virtual Campus
185 Madison Ave, NYC
Centrally located in New York City, NYIM Training’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.
NYIM Training’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.
NYIM Training’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.
| March 2026 | |||
|---|---|---|---|
|
March 24–July 30
Evenings
6–9pm
|
$3,995
114 Hours
|
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 24–July 30
Evenings
6–9pm
|
$4,995
114 Hours
|
At the end of the certificate, students will feel comfortable trading in Excel spreadsheets for Jupyter notebook. Students will leave this course having worked on multiple projects using Python to pull, clean, analyze, and visualize financial data from all different sources. Additionally, students will learn how to use machine learning to build predictive financial models and export them into PDF or Excel. Lastly, students will gain an understanding of how to organize and find data in SQL. |
|
|
March 24–April 16
Tuesdays & Thursdays
6–9pm
|
$975
18 Hours
|
In this hands-on course, you’ll learn PostgreSQL and the free DBeaver app to explore the database and execute SQL queries you write. The concepts you’ll learn on PostgreSQL can be applied to other flavors of SQL (such as Microsoft SQL Server, MySQL, etc.) with minor syntax differences. |
|
|
March 24 & 26
Tuesday & Thursday
6–9pm
|
$425
6 Hours
|
Learn fundamental concepts of relational databases and start writing SQL queries in this hands-on PostgreSQL course. |
|
|
March 25
Wednesday
10–5pm
|
$249
6 Hours
|
In this beginner Outlook class, you will reduce hours of repetitive work by setting up rules and search folders to automate email, manage your calendar and to-do lists, manage emails and scheduling with ease, and organize your contacts. |
|
Showing 5 of 705 courses
Remote, from anywhere
As an alternative to in-person learning, NYIM Training 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 NYIM Training.
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 nyc@careercenters.com.
We will work with participants prior to the class date to ensure that everything
There are no additional costs payable to NYIM Training 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.
| March 2026 | |||
|---|---|---|---|
|
March 24–July 30
Evenings
6–9pm
|
$3,995
114 Hours
|
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 24–July 30
Evenings
6–9pm
|
$4,995
114 Hours
|
At the end of the certificate, students will feel comfortable trading in Excel spreadsheets for Jupyter notebook. Students will leave this course having worked on multiple projects using Python to pull, clean, analyze, and visualize financial data from all different sources. Additionally, students will learn how to use machine learning to build predictive financial models and export them into PDF or Excel. Lastly, students will gain an understanding of how to organize and find data in SQL. |
|
|
March 24–April 16
Tuesdays & Thursdays
6–9pm
|
$975
18 Hours
|
In this hands-on course, you’ll learn PostgreSQL and the free DBeaver app to explore the database and execute SQL queries you write. The concepts you’ll learn on PostgreSQL can be applied to other flavors of SQL (such as Microsoft SQL Server, MySQL, etc.) with minor syntax differences. |
|
|
March 24 & 26
Tuesday & Thursday
6–9pm
|
$425
6 Hours
|
Learn fundamental concepts of relational databases and start writing SQL queries in this hands-on PostgreSQL course. |
|
|
March 25
Wednesday
10–5pm
|
$249
6 Hours
|
In this beginner Outlook class, you will reduce hours of repetitive work by setting up rules and search folders to automate email, manage your calendar and to-do lists, manage emails and scheduling with ease, and organize your contacts. |
|
Showing 5 of 731 courses