This program includes

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

This course is self-paced. For live online or in-person instruction, take the Python Data Science & Machine Learning Bootcamp.

Learn to apply Python to data science, machine learning, visualization, and automation as you build the programming skills needed to work with databases and analyze real-world datasets. You’ll move from Python fundamentals into NumPy, Pandas, and Matplotlib before creating predictive models with scikit-learn and using Python to automate everyday workflows.

In the final stage, you’ll design visualizations and interactive dashboards with Matplotlib, Seaborn, Plotly, and Dash, deploying your projects to GitHub to showcase your abilities. By the end of the program, you’ll be prepared for 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 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 2 30 Hours

Python for Data Science Course Online (Self-Paced)

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.

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 3

Python for Automation Course Online (Self-Paced)

Learn how to use Python to extract data from websites and write loops for processing large numbers of pages. This course covers HTML and CSS, Python fundamentals, web scraping techniques, data storage, and scheduling.

Learn Python syntax and how to construct programs and scripts
Write scripts that automate manual tasks and update Excel files automatically
Identify and correct common errors in your code
Schedule your programs to run automatically on a regular basis
Apply web scraping techniques through real-life exercises and examples

Unit 4

Python Data Visualization & Interactive Dashboards Online (Self-Paced)

Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.

Plan, gather, and manipulate data from different sources to present a data story
Find data stories through exploratory data analysis
Manipulate data with NumPy and Pandas.
Use advanced Python visualization libraries Plotly and Dash
Build a dashboard and apply the rules of effective dashboard design to create professional data science solutions
Go live with your project and deploy the dashboard on a live server

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

Bonus 30 Hours

Python for AI: Create AI Apps with Flask & OpenAI (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

Bonus

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

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

100% Online. Start Anytime

24/7 access to our premium course videos and projects.
Industry experts are assigned as your course instructor. Message your instructor with any questions.
Participate in Career Centers online discussion forums — share ideas and receive additional support.
Hands-on quizzes and mini projects to test and reinforce concepts.
Earn a Certificate of Completion that demonstrates your expertise and supports your professional development.

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

Python Data Science & Machine Learning Bootcamp (Self-Paced) 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 and want to transition to using 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.

How long do I have access to the course materials?

What is the cancellation and refund policy for this certificate?

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
Expert support with answers to your questions from real instructors throughout your learning journey
Top-notch curricula that have been tried and tested over many years and are consistently improved for an optimal learning experience
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, 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 (Self-Paced)