Python Bootcamp NYC
IDCML

Python bootcamp classes in-person in NYC (34th & Madison Ave), onsite, or online from anywhere

Study Python to master data analysis, machine learning, and automation. Build predictive models, design interactive dashboards, and bring data to life through visualization; get the skills you need for a career in data science with tools like Python, NumPy, Pandas, and Matplotlib.

View Schedule (Live Online)

This program includes

  • 96 hours of live, project-based training from experts
  • Software Access
  • Additional elective course
  • Additional 1-on-1 mentoring outside of class
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Learn at an accredited institution

Special Promotion: Choose one free elective (Python for AI or Machine Learning Advanced) when you register for this certificate program. Contact us after enrolling to be added to the class.

In this program, you’ll learn how to use Python for data science, machine learning, visualization, and automation. Starting with the fundamentals, you’ll develop the programming skills to work with databases and perform meaningful data analysis. By the end, you’ll be ready to apply for entry-level roles in data science and Python engineering.

As you progress, you’ll work with core libraries like NumPy, pandas, and Matplotlib to analyze data and build predictive models with scikit-learn. You’ll also explore how Python can automate everyday tasks, such as collecting, cleaning, and formatting data. In the final stage, you’ll create interactive dashboards and visualizations with tools like Seaborn, Plotly, and Dash, and publish them to GitHub so potential employers can see your work in action.

Add additional skills with a certificate program:

Courses in this Certificate Program

This is the recommended order, but some courses may be taken in a different order.

Download Syllabus PDF

Unit 1 30 Hours

Python for Data Science Bootcamp
  • Learn Python fundamentals, including variables, data types, functions, loops, and control flow, for building robust programs
  • Work with complex data structures such as dictionaries and lists to efficiently organize and access data
  • Use NumPy and Pandas to import, clean, and manipulate datasets for analysis and exploration
  • Generate descriptive statistics and apply filtering, grouping, and pivoting techniques to gain deeper insights
  • Visualize data using Matplotlib and create clear, customized charts, including bar graphs, histograms, and scatter plots
  • Gain the practical skills needed to transition into machine learning with a solid understanding of data science workflows

Unit 2 30 Hours

Python Machine Learning Bootcamp
  • Explore foundational techniques like linear and logistic regression for modeling numerical and categorical data
  • Understand the difference between regression and classification problems and when to apply each approach
  • Build and evaluate models using k-nearest neighbors, decision trees, and ensemble methods like random forest
  • Learn key concepts such as cross-validation, training vs. test sets, and performance metrics like mean squared error
  • Apply feature engineering techniques to improve model accuracy while managing overfitting and bias-variance tradeoffs
  • Use Python's essential data science libraries, NumPy, pandas, and scikit-learn, to structure data and implement algorithms
  • Gain insights into how machine learning powers systems at companies like Netflix, Spotify, and Amazon
  • Complete a final portfolio project that demonstrates your ability to apply machine learning to solve real problems

Unit 3 6 Hours

Python Automation Course
  • Understand how websites are structured with HTML and CSS to identify elements for data extraction
  • Learn Python fundamentals, such as variables, data types, conditionals, loops, and list manipulation
  • Use the Requests and Beautiful Soup libraries to perform web scraping and target specific content
  • Write loops to automate web scraping across multiple pages and streamline repetitive tasks
  • Store scraped data in different formats, such as text files and CSVs, for analysis and reporting
  • Schedule Python scripts to run on a regular basis, enabling continuous data collection and automating workflows

Unit 4 30 Hours

Python Data Visualization & Interactive Dashboards Course

Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.

  • Work with real-life datasets using Python’s core libraries, including NumPy for numerical computing and pandas for data manipulation
  • Create static and interactive visualizations using Matplotlib, Seaborn, and Plotly to clearly communicate trends and patterns
  • Build multi-component dashboards using Dash Enterprise, incorporating callbacks, sliders, date pickers, and more
  • Practice hands-on development by applying new skills to personalized projects with guided instructor support
  • Publish your dashboards online using GitHub and Heroku to demonstrate your work to potential employers or clients
  • Explore best practices for styling and structuring visual narratives that are clear, persuasive, and engaging

Choose between Python for AI & Machine Learning Advanced for free as part of this certificate. Choose your date after you register for the program. 

Bonus 30 Hours

Python for AI: Create AI Apps with Flask & OpenAI

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates.
  • Design and style web applications using HTML, CSS, and Flask’s templating system.
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis.
  • Handle user input with dynamic forms and process data for real-time interactions.
  • Implement error handling and debugging techniques to ensure smooth application performance.
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality.

Bonus 30 Hours

Python Machine Learning Advanced

Gain hands-on experience with advanced machine learning techniques as you build and deploy real-world projects across natural language processing, recommendation systems, forecasting, deep learning, and computer vision.

  • Build and deploy full-stack applications with Flask
  • Implement collaborative and content-based recommendation engines
  • Forecast trends using advanced time series modeling with Facebook Prophet
  • Train and evaluate convolutional neural networks using PyTorch
  • Perform real-time object detection in images and video streams with YOLO
  • Apply NLP techniques to build effective sentiment analysis models

Self-Paced Online Option

Learn online at your own pace with video training and live support from our instructors. If you purchase the self-paced option, you can attend the live course for free within one year.

Unit 1 30 Hours

Python for Data Science Bootcamp (Self-Paced)
  • Handle different types of data such as integers, floats, and strings
  • Control the flow of your programs with conditional statements, loops, and functions
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn
Lesson 1: Python for Data Science Fundamentals
Lesson 2: Boolean Conditions
Lesson 3: Datetime & Random
Lesson 4: Loops & Strings
Lesson 5: Dictionaries
Lesson 6: Numpy
Lesson 7: Pandas Dataframes
Lesson 8: Bar Charts with Matplotlib
Lesson 9: Line & Scatter Charts with Matplotlib
Lesson 10: Pivot Population Data & Charts

Unit 2 30 Hours

Python Machine Learning Bootcamp (Self-Paced)
  • How to clean and balance your data using the pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models

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Unit 3 6 Hours

Python for Automation (Self-Paced)
  • Scrape (extract) text and images from websites
  • Schedule Python scripts to run automatically
  • Automate browser interactions, reporting, and messaging

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Unit 4 24 Hours

Python Data Visualization & Interactive Dashboards (Self-Paced)
  • Plan & present a data story
  • Gather and manipulate data from different sources
  • Find data stories through exploratory data analysis 
  • Manipulate data with NumPy and pandas.
  • Use advanced Python visualization libraries Plotly and Dash
  • Build a dashboard
  • Apply the rules of effective dashboard design to create professional data science solutions
  • Go live with your project & deploy the dashboard on a live server

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Choose one free elective. Contact us after registration to select your dates.

Bonus 30 Hours

Python for AI (Self-Paced)

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates.
  • Design and style web applications using HTML, CSS, and Flask’s templating system.
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis.
  • Handle user input with dynamic forms and process data for real-time interactions.
  • Implement error handling and debugging techniques to ensure smooth application performance.
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality.
Lesson 1: Using VSCode & Flask
Lesson 2: Rendering HTML with Flask
Lesson 3: Connecting with OpenAI
Lesson 4: Jinja and Prompt Engineering
Lesson 5: Building the Chat
Lesson 6: Coding HTML & CSS
Lesson 7: Using JavaScript
Lesson 8: Improving the Chat
Lesson 9: Starting the Meal Analyzer
Lesson 10: Finalizing the Meal Analyzer

Bonus 30 Hours

Python Machine Learning Advanced (Self-Paced)

Gain hands-on experience with advanced machine learning techniques as you build and deploy real-world projects across natural language processing, recommendation systems, forecasting, deep learning, and computer vision.

  • Build and deploy full-stack applications with Flask
  • Implement collaborative and content-based recommendation engines
  • Forecast trends using advanced time series modeling with Facebook Prophet
  • Train and evaluate convolutional neural networks using PyTorch
  • Perform real-time object detection in images and video streams with YOLO
  • Apply NLP techniques to build effective sentiment analysis models

Schedule & Enrollment: Python Bootcamp NYC

  • 96 Hours
  • Price before discounts: $5,510 Full tuition: $3,495
  • NYC or Live Online
  • Free retake
  • Payment plans
  • Software Access
  • 1:1 Mentoring included

  • Self-Paced More details
    Start anytime Online only
  • Custom Schedule
  • Nov 2–23 Show package courses
  • Nov 17–Mar 9 Show package courses
  • Nov 30–Dec 21 Show package courses
  • Dec 13–Mar 28 Show package courses
  • Jan 25–Feb 12 Show package courses
  • Mar 16–Jul 1 Show package courses
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Related Courses: Compare to Python Bootcamp NYC

These related courses share skills and topics with Python Bootcamp NYC. Select up to two and tap Compare selected courses to view a side-by-side comparison.

  • Data Science & AI Certificate
    114 hours $3,995

    Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.

    How does it compare?

    The Data Science & AI Certificate covers everything in this bootcamp, plus SQL for querying relational databases and additional AI techniques aimed at entry-level data science roles.

  • Python for Data Science Bootcamp
    30 hours $1,495

    Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

    How does it compare?

    Take Python for Data Science Bootcamp first if you're new to Python; it builds programming fundamentals and introductory data analysis before you tackle machine learning and dashboards in this bootcamp.

  • Python for AI: Create AI Apps with Flask & OpenAI
    30 hours $1,895

    Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.

    How does it compare?

    Choose Python for AI: Create AI Apps with Flask & OpenAI if you want to focus on building AI-powered web applications with Flask and the OpenAI API rather than data analysis and predictive modeling.

  • Data Analytics Certificate
    156 hours $4,995

    Build a strong foundation in data analytics by working with Excel, SQL, and Python to analyze and visualize data. You'll gain hands-on experience with tools like Tableau, and develop the skills needed to manipulate data and present insights effectively.

    How does it compare?

    Unlike this bootcamp, which centers on Python for machine learning and dashboards, the Data Analytics Certificate spans Excel, SQL, and Tableau alongside Python, preparing you for broader analytics and BI roles.

NYC Python Bootcamp Training Options & Location Details

The Python Bootcamp NYC is offered in three flexible formats: in-person in New York City, live online, or self-paced online. The in-person sessions are held at our Midtown Manhattan training center at 185 Madison Avenue (34th Street / Madison Avenue corridor), a central, commuter-friendly location that’s easy to reach from across NYC and the wider tri-state region. From this location, students enjoy proximity to major transit hubs:

  • 34th Street–Herald Square (B/D/F/M + N/Q/R/W subways): a short 5–6 minute walk
  • 33rd Street Station (6 train): about 3 minutes on foot
  • Penn Station (serving LIRR, NJ Transit, Amtrak, plus 1/2/3 and A/C/E): around 8–10 minutes walking
  • PATH 33rd Street station: roughly 6–8 minutes away
  • Grand Central Terminal (4/5/6/7/S & Metro-North): about a 10–12 minute walk or a quick subway ride

This makes attending in-person classes convenient, whether you live or commute from Manhattan, Brooklyn, Queens, the Bronx, Staten Island, Long Island, New Jersey, or beyond. As a student, you can choose:

  • In-person NYC classes: hands-on, instructor-led training using classroom computers with Python and required tools pre-installed.
  • Live online training: real-time interactive sessions for remote students, with the same curriculum and instructor support.
  • Self-paced online learning: study at your own pace from anywhere; you can later join live or in-person sessions for hands-on practice, feedback, or additional instruction.

Python Bootcamp Program Structure & Additional Training Options 

The Python Bootcamp NYC is designed to meet participants at different experience levels and career goals:

  • Full Python Bootcamp/Certificate Program: a comprehensive path from fundamentals to advanced applications, including automation, data science, machine learning, visualization, scripting, and more.
  • Individual modules or levels: for individuals who want to focus on specific areas such as Python basics, data handling, automation, or machine learning.
  • Certification bundles or tracks: for those seeking a formal credential and portfolio-ready work, with multiple units combined into a cohesive program.

Given the flexible delivery formats, students can choose to:

  • Complete the entire bootcamp in one sequence,
  • Enroll in specific modules only, or
  • Begin self-paced, then later join live or in-person sessions without sacrificing access, content, or support.

What You’ll Learn During the Python Bootcamp in NYC

The Python Bootcamp NYC delivers practical, in-demand programming skills, giving you a strong foundation for data science, automation, web back-ends, scripting, or general-purpose Python development. As you progress through the bootcamp, you’ll:

  • Master Python fundamentals, including data types, control flow, functions, error handling, data structures, file I/O, and modular code design.
  • Use powerful Python libraries and tools, like NumPy, pandas, Matplotlib, and scikit-learn, to import, clean, manipulate, visualize data, and build predictive models.
  • Learn automation and scripting, write scripts to automate tasks, scrape and clean data, manage files, or build back-end services.
  • Build data-driven applications: create interactive dashboards or data visualizations, integrate data processing, and generate actionable insights.
  • Develop portfolio-ready projects, like scripts, data workflows, machine-learning models, or full applications you can showcase to employers, clients, or stakeholders.

Graduates of the bootcamp leave with both the theoretical understanding and practical experience needed to work as Python developers, data engineers, automation specialists, or entry-level data scientists.

Why This Python Bootcamp Training in NYC Stands Out

  • Expert Python instructors: The bootcamp is taught by experienced professionals, including app developer Brian McClain, who brings real-world coding, data, and development experience into the classroom.
  • Hands-on, project-based learning: Rather than passive lectures, students write real code, build scripts and applications, manipulate data sets, and work on real-world projects, ensuring practical understanding and usable skills.
  • Fully configured workstations for in-person classes: When you attend in NYC, computers come pre-loaded with Python and all necessary libraries/tools, so you can begin coding immediately without setup headaches.
  • Remote support for online participants: Live online students get real-time instructor interaction, screen sharing, and troubleshooting support, ensuring a smooth learning experience whether you’re remote or in class.
  • Workbooks, templates, and project files to keep: Students receive course materials, datasets, code templates, exercises, and project files to keep, useful for ongoing practice, portfolio building, or future project use.
  • Flexibility in pacing and path: Whether you want to commit to the full bootcamp, take just certain modules, or learn at your own pace and later return for live sessions, the program adapts to your schedule and goals.

Who This Python Bootcamp Course in NYC Is Ideal For

The Python Bootcamp NYC is ideal for:

  • Aspiring developers, data analysts, or data engineers who want robust Python skills and real-world coding experience
  • Professionals in operations, finance, marketing, or business analytics who want to automate tasks, analyze data, or build data-driven tools
  • Freelancers, consultants, or entrepreneurs seeking to add programming or automation services to their offerings
  • Agencies or organizations with teams needing consistent Python training, especially helpful via corporate/group training
  • Individuals seeking flexible education paths, whether they prefer in-person learning in NYC, remote attendance, or self-paced study around their schedule.

Python Corporate & Group Training 

The Python Bootcamp NYC is also offered as a corporate or group training solution, making it an ideal choice for firms, agencies, non-profits, or teams looking to build internal technical capabilities. Training can be delivered:

  • On-site at your organization’s location, no matter where your team is based.
  • At our Midtown Manhattan training center, which works well for NYC-based companies or teams who desire a central training facility.
  • Live online, suitable for remote, hybrid, or distributed teams, ensuring consistent training without geographic constraints.

Because there are no travel costs for participants under corporate/group packages, this option provides a cost-efficient, scalable way to upskill multiple staff members. The curriculum can be customized to match organizational needs, whether focused on automation, data processing, backend development, analytics, or application building.