Python for Data Science Bootcamp
Learn Python programming fundamentals and data analysis. You will explore and manipulate data, create visualizations, and perform statistical analysis through projects with real datasets.
Learn Python programming fundamentals and data analysis. You will explore and manipulate data, create visualizations, and perform statistical analysis through projects with real datasets.
This bootcamp takes you from the basics of Python programming through the foundations of data science and into the starting point of machine learning. You will begin by learning Python fundamentals including variables, data types, functions, and control flow before moving into essential tools like NumPy and Pandas for working with arrays and dataframes.
From there, you will explore data wrangling, descriptive statistics, and exploratory analysis, as well as creating visualizations with Matplotlib. By the end, you will have the skills to clean, analyze, and visualize data in Python and will be prepared to continue into machine learning with algorithms such as logistic regression, k-nearest neighbors, and decision trees.
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.
Attend this course online as self-paced training with access to an instructor for questions. When you purchase the self-paced course, you may also attend the live course for free within one year.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
Enrolling in the Python for Data Science course was the best decision I could have made for myself and my advancing career. I'm feeling confident enough to move beyond my traditional role using what I've learned at Noble Desktop to create a portfolio of my knowledge.
Aja Walton
Having no prior knowledge or experience in computer/data science, I feel as though this course prepared me well in order to use and apply Python through a thorough, yet understandable curriculum.
Gabriel Kerstein
Great way to start learning Python!
Nolan Young
At worst, this class will get you from knowing NOTHING about coding to a point where you are proficient enough to understand what Python can do and how to apply it to your job.
Alex
Rob is very helpful and always ready to answer questions. He explained the content very well. The course is a great introduction to Python and programming!
Leyla Beck
A complex subject, clearly broken out into simple steps.
James Siwicki
Course content was more than adequate and very applicable to Data Science and analysis. Learned a lot of takeaways that I will apply at work.
Melissa Manganaan
Great class for someone who wants to get out of their comfort zone and challenge themselves to pick up a new skill
Tanuja Pulakhandam
The Python for Data Science course was a mix of theory and hands on application. Probably the best value class out there.
Lorela Blaka
Great Class. I would highly recommend this class.
April E Cooke
JPMorgan Chase
Student rating for Python for Data Science Bootcamp: 4.7 stars by 297 students
Kash and Brian are passionate, knowledgeable, and personable - just want you want in instructors.
Kash was a great instructor, and I certainly learned a lot. Thanks!
Kash was an excellent instructor! His teaching method is so clear, and I really liked that he gave a variety of simple metaphors. He also ensures we have enough breaks to help ease how intellectually challenging dense lessons on Python can be. Can't thank him enough for his passion for teaching! I will be trying to take another course taught by him because this was fantastic. 10/10!
Super helpful and really learned a lot!
Class contents were well structured to understand the basics of Python.
Great format with fantastic explanations.
If you're thinking about taking a Data Science and Python bootcamp, Noble Desktop might be the only one in NYC that still offers both in-person and online courses and class retakes! Python for Data Science with Kash = highly recommended!
The course is very, very well structured. I am amazed to have seen so many things in just one week. And what to say about the instructor, Kash? Simply... Excellent. Someone with huge experience in Python and Data Science, who was able to make us easily understand quite advanced things in just one week! Fully recommended course!
Brian is a very energetic and passionate instructor who responds well to questions. The material was appropriate, covering the basics, and the Combination of Google Colab and Slack was great.
Great instructor. I like how Brian helped students when they had issues with their exercises. He made sure that everybody understood the assignment by asking questions. I will recommend this to anyone who wants to learn Python.
Colin is an exceptional instructor. He maintained an environment that encourages people to feel comfortable learning and engaging.
Really appreciated being able to get real-time support from the instructor as we worked through problems in class. Since I came in with some prior Python experience, it also helped me think through additional ways I could apply these tools to my day-to-day life, both at home and at work.
Professor Jaffe made otherwise tedious material interesting and even cool!
I learned a ton through this class and am very excited to apply it to my job.
The class is an excellent way for someone who knows nothing about programming to gain foundational knowledge and confidence!
Brian was a fantastic instructor—his use of analogies and emphasis on mastering the fundamentals really helped deepen my understanding of Python. The bootcamp was fast-paced and engaging, perfect for those with a bit of prior experience. The week flew by, and I walked away with both new skills and a solid foundation to build on. Highly recommended!
I had an exceptional learning experience in this class. The instructor's expertise and patience were evident in every session, making complex concepts easy to understand. The materials provided were comprehensive and covered most of the essential topics thoroughly. The support during code execution was invaluable, helping me overcome any challenges I faced. Overall, this class has significantly boosted my confidence and skills. I highly recommend it to anyone looking to learn Python
Good content and good time management. Exercises were challenging but achievable based on learning. Thank you!
A great class with the best instructor!
Well structured, interactive, and informative. Would recommend this class and instructor to others. Would take other classes with this instructor.
Our instructor was very knowledgeable about the material. Seemed to know the content very well. It applied to what we do, and there was a lot that was new to me, so it opened the door to new possibilities, and I hope to apply much of what I learned in my day-to-day job
Overall, Brian McClain was an instructor who switched back and forth from high-level coding to basic debugging with real-world examples and experience. His examples and step-by-step instructions help me to stay engaged and redirected by pulling me back into the lesson.
The instructor was very knowledgeable and explained code logic with a real-world scenario, which made understanding the concept really easy. Very well defined for a beginner.
I've been programming and learning programming since 1978, and I have to say that this class was a breath of fresh air. It seriously opened my eyes to some new possibilities and answered some questions about Python that I have had for some time. What an outstanding instructor and what a great class!
If you are looking for a challenging and informative learning experience, this class is for you! I enjoyed my experience taking the course, and I would love to take other classes focused on Python if given the chance.
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Enrolling in the Python for Data Science course was the best decision I could have made for myself and my advancing career. I'm feeling confident enough to move beyond my traditional role using what I've learned at Noble Desktop to create a portfolio of my knowledge.
—Aja W.
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Attend this course 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 CreativeLive, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
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.
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.
We want you to leverage the skills you’ll learn. In addition to 30 hours of hands-on, small group training, you’ll receive one 1-on-1 training session where you can:
Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
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We offer a single free retake of the class within a year.
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 30 days after the session.
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
Learn how to create impressive data visualizations
Learn to take cross-sections of your data and find patterns
Learn to graph commodity prices and other kinds of timeseries data
Learn to overlay and compare trends in your data
Learn to customize your visualizations with vibrant color schemes
Create animated bar chart race with Python's bar-chart-race library
The first 12 hours of this class covers Python the language and general computer science topics. The following 18 hours covers data science topics such as descriptive statistics, data importation, graphical representation of data, and forecasting models.
Noble's typical class ranges from 8-12 students, but we allow up to 20 students to register for our course.
The classes will prepare students with proficiencies in Python and its data science libraries. This is a great starting point for anyone looking to pursue a career in data science and a perfect class for students looking to add complementary skills to their current job or resume.
Each library allows Python to be used for different tasks. The NumPy package is the foundational package for all of data science as it allows Python to do both mathematical and statistical operations. Pandas allows Python to work with tabular data such as data imported from CSV or Excel files. Matplotlib package is a tool that allows for Python to have graphing capabilities similar to Excel. Lastly, scikit-learn allows for regression and predictive analysis of data.
Students are not required to complete any work outside of class. However, we provide students with bonus materials if they would like extra practice.
Students will leave with proficiencies in Python. Additionally, students will be proficient in various Python libraries such as NumPy, Pandas, Matplotlib, and scikit-learn. These libraries will allow students to automate data collection, perform analysis on the data, graph the data, and use this data to create predictive models.
These related courses share skills and topics with Python for Data Science Bootcamp. Select up to two and tap Compare selected courses to view a side-by-side comparison.
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.
The Data Science & AI Certificate covers everything in this bootcamp, plus SQL, machine learning algorithms, model evaluation, Dash Enterprise dashboards, and Python automation to prepare you for a Data Scientist role.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Take the Python Machine Learning Bootcamp after this one if you want to move from data analysis into building and evaluating regression, classification, and ensemble models with scikit-learn.
This certificate program equips you with in-demand data analytics skills—Excel, SQL, Python, and Tableau—through hands-on, real-world projects designed to get you job-ready as a Data or Business Analyst.
Unlike this Python-focused bootcamp, the Data Analytics Certificate adds Excel, SQL, and Tableau alongside Python to prepare you for a Data Analyst or Business Analyst career.
Gain practical skills in analyzing datasets, building predictive models, and creating AI-powered applications using Python and industry-leading tools.
The Data Analytics & AI Certificate covers everything in this bootcamp, plus SQL, Tableau, machine learning with scikit-learn, and building AI-powered web apps with Flask and the OpenAI API.
Purchase group class vouchers at a discount for our regularly-scheduled group classes, or create a custom training program at your offices.
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Let us create the perfect program for your team.
Effective Date: 3/17/26
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