This program includes

Live, project-based training from experts
Additional elective course
Retake for free within 1 year
Access to class recordings (30 days)
Verified digital certificate of completion
Licensed by NYS Department of Education

This program is built for anyone who wants to become a working Python programmer, with a curriculum that spans data science, machine learning, data visualization, and automation. You'll start by getting comfortable with Python fundamentals before moving into three of its most essential data science libraries, like NumPy, Pandas, and Matplotlib, using them to analyze data and uncover insights. From there, you'll learn how to build predictive models using machine learning packages like scikit-learn, and put Python to work automating everyday tasks like aggregating, updating, and formatting data.

The final stretch of the program shifts toward visualization, where you'll use Matplotlib, Seaborn, Plotly, and Dash to create compelling charts, graphs, and interactive dashboards. You'll deploy your work to GitHub, giving potential employers an easy way to see what you've built. By the time you finish, you'll have hands-on experience across the full Python data science stack and the skills needed to go after entry-level roles in data science and Python engineering.

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

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

Unit 2 30 Hours

Python Machine Learning Bootcamp

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

Unit 3 6 Hours

Python for Automation

Learn the syntax of Python and how to construct programs
Learn how to run your programs on a regular schedule
How to handle errors

Unit 4

Python Data Visualization & Interactive Dashboards

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

Bonus 30 Hours

Python for AI: Create AI Apps with Flask & OpenAI

Learn how AI and Python go hand-in-hand
Work with Python's major AI libraries
Build & deploy your own AI app

Bonus

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

Learn the Skills Guarantee™

Learn the concepts and skills covered in this program or your tuition is on us. See details and terms & conditions.

Hands-on, personalized training

Learn with real-world projects

Several students, sitting at computers, looking at the front of the classroom

Cutting edge curriculum

Step-by-step instruction to boost retention

The Career Centers instructors are highly skilled communicators who really know their craft. They are wonderful about explaining and re-explaining when necessary and I never felt rushed or foolish for asking a question.
—Diane Speros

Learn from industry experts

Gain industry knowledge from professionals

Free retake

Retake the course for free within one year

Interactive Training

Attend this certificate program live online or as self-paced training. 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 NYC Career Centers, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.

Live Online Remote, from anywhere

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.

Live, interactive class
Experienced instructor teaching over Zoom
Remote setup assistance provided

More about live online training

Self-Paced Remote, from anywhere

Learn at your own pace with pre-recorded video lessons and hands-on exercises. Work through the material on your schedule with access to course content and resources.

Learn on your own with access to an instructor for questions
24/7 access to premium course videos
Hands-on exercises and projects

photo of instructor leading a class in person

student taking a class live online, seated on their living room floor, leaning against a couch

Free Retake & Class Recordings

Missed a session or need a refresher? We have you covered!

Free Retake

We offer a single free retake of any module or the whole program within a year.

Class Recordings

You can also access recordings of each session in your student portal within one business day of the session’s end. Recordings are available for one month after the session.

See terms and conditions.

One-on-one training instructor with student in a classroom

Python Data Science & Machine Learning Bootcamp Curriculum

What You'll Learn at a Glance

Clean and analyze tabular data with NumPy and Pandas
Create graphs and visualizations with Matplotlib and Plotly
Build interactive dashboards with Dash
Make predictions with linear regression
Apply machine learning algorithms and evaluate their performance
Learn how to write programs in Python to automate everyday tasks

Frequently Asked Questions

Who is the target audience for this course?

The Python Data Science & Machine Learning Bootcamp is best suited for:

Anyone who wants to learn Python, machine learning, and data visualization skills
Analysts who work with other data tools looking to transition to Python
Developers looking to broaden their skill set by learning data science and Python

Is this course open to beginners?

Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required.

Do you offer payment plans or student financing for this course?

This course does not qualify for payment plans or student financing. See our Payment Plan FAQ to find related programs that qualify.

Can I take this course online (remote learning)?

Sorry, but this training is not available online. However, some individual courses in this certificate program may be available online. Contact us if you would like to take this program remotely.

What happens if I need to miss a session?

You have some options:

You can watch a recording of the session. We will provide any course materials.
If you can’t come into the classroom but can still attend remotely, we will provide you with the Zoom login information.
You can use your free retake to make up any missed class time.

What’s included with my tuition?

A hands-on learning experience working on projects and exercises, which is proven to boost comprehension, retention, and engagement
Expert instructors who are industry professionals and experienced educators that are driven to help you succeed
A comprehensive program with 6 in-depth course modules designed to build your skills progressively
Flexibility to customize your learning with an additional elective course
Top-notch curricula that have been tried and tested over many cohorts and are consistently improved for an optimal learning experience
A 1-year free retake policy which allows students to retake any part of the course or program for free to refresh the materials and gain additional practice
30-day access to class recordings to review material at your own pace
A certificate of completion to verify your accomplishment
Training from an institution licensed by the NYS Department of Education
Choose one free elective. Contact us after registration to select your dates.

Are there any additional fees or expenses?

There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.

However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.

Do you offer any discounts for this course?

This program is a discounted package of classes that is 15–25% off the individual class prices, so additional discounts do not apply.

Python Data Science & Machine Learning Bootcamp