# Python Data Science & Machine Learning Bootcamp Canonical URL: ## Overview 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, 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. ## What you'll learn - 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 ## Curriculum 1. **Python for Data Science Bootcamp** 2. **Python Machine Learning Bootcamp** 3. **Python for Automation** 4. **Python Data Visualization & Interactive Dashboards** 5. **Python for AI: Create AI Apps with Flask & OpenAI** 6. **Python Machine Learning Advanced** ## Instructors ### Brian McClain — Program Director & Senior Instructor Brian McClain is an experienced instructor, curriculum developer, and web developer. Brian served as Director for a coding bootcamp before joining Noble Desktop in 2022, where he is now a lead instructor and course developer for both JavaScript and Python. He teaches Web Development, JavaScript, Python for Data Science, Machine Learning, and AI. Prior to Noble, he taught Python Data Science and Machine Learning as an Adjunct Professor of Computer Science at Westchester County College. Brian is also an active industry professional in the field of generative AI app development. His website and iOS app, Artmink, provides appraisals of art and antiques from user-uploaded images. ### Colin Jaffe — Instructor Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks. Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit. Colin lives in Brooklyn with his wife, two kids, and many intricate board games. ### Kash Sudhakar — Instructor Kash specializes in full-stack web development, data analysis & visualization, machine learning, artificial intelligence, and applied computer science. With over 6 years of teaching, curriculum, and leadership experience across coding boot camps and other educational institutions, combined with over 3 years of professional software engineering and data science expertise, he's driven to help shape the next generation of technologists and creative coders. ### Chett Tiller — Instructor Chett Tiller is an experienced web developer who has brought his expertise with React, Node, and full-stack development to multiple companies over his career. After transitioning six years ago to an instructor, first at the Flatiron School and now at Noble Desktop, Chett has brought his passion for full-stack engineering to hundreds of students and guided them on their journeys from fledgling developers to their first job offers. When Chett isn't busy teaching students or writing curriculum, he builds online products for local volunteer organizations and dabbles in game development. ## FAQ ### 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 ### Does this certificate include job support? In addition to 96 hours of interactive training, you will receive eight 1-on-1 mentoring sessions that can be used for career and job support, including polishing your resume, preparing for interviews, and reviewing best practices for applying to jobs. Note, however, that we don’t provide job placement (i.e. reaching out to companies on your behalf). ### 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? Yes, this course is eligible for our installment plan. Learn more in the Tuition section above. ### Can I take this course online (remote learning)? Yes. This course is available online. See the course description and enrollment options for the training format and schedule. How do live-online sessions work? For live-online sessions, you attend at the scheduled class times (New York, Eastern Time). Attend remotely through Zoom with a live instructor. Hear the instruction, ask questions, and share your screen with the instructor. Use your computer’s microphone and speakers, or call the phone number we provide. You will need your own computer and any required software. See the course requirements for details. If you need assistance, contact us at hello@nobledesktop.com . ### 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. 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 Access to industry-standard software during your training Flexibility to customize your learning with an additional elective course Valuable 1-on-1 mentoring sessions outside of class to address your specific needs and career goals 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 State of New York, New York State Education Department 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. ### Do you offer any discounts for this course? This program has a single package price. Additional discounts do not apply. ## Pricing **Tuition:** $3495 Payment options: pay-as-you-go installments.