Python Data Science & Machine Learning Bootcamp (Self-Paced)

Self-paced online training with expert support Certificate with 6 courses

Develop strong Python skills for data analysis, machine learning, and automation. Build predictive models and interactive dashboards with NumPy, Pandas, and Matplotlib.

$3,495 96 clock hours Live Support Start anytime

This program includes

  • 96 hours of 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 the State of New York, New York State Education Department

This bootcamp is self-paced. For live online or in-person instruction, take 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.

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 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 6 Hours

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 24 Hours

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 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
Sunlit data science classroom
One-on-one training instructor with student in a classroom
Instructor teaching PowerPoint
Excel class in session
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