Our Python for Data Science Bootcamp is meant to go from the very basics of Python programming to the start of machine learning with Python. In this Bootcamp, you’ll learn how and why Python is used for data science, how to create programs, work with data in Python, create data visualizations, and use statistics to create machine learning models.
The course will start with the fundamentals of Python, including writing basic statements and expressions, creating variables, understanding different data types, working with lists, indexing and slicing lists, using functions and methods, and more. Concepts such as object-oriented programming are introduced.
Once a learning environment has been set up, we will work with different data types such as strings, lists, dictionaries, and tuples. Each data type has its own particular purpose and knowing when to use each one will be essential.
The second part of the course covers conditional statements and control flow tools. This includes the If/Else Statements, Boolean Operations, and different types of loops. These topics create a large portion of the logic in your code and this course will help you master these concepts. Learn to work with dictionaries, create functions, write for loops to iterate through data, and work with packages in Python.
The third part of the course introduces operations and tools for data science. We will learn how to import and clean data using NumPy and Pandas. You’ll learn to work with Pandas dataframes, wrangle data, and get descriptive statistics for your data.
You’ll learn to analyze and visualize data with key data science libraries including Pandas, NumPy, and Matplotlib. Learn to filter and clean data, group and pivot data, and start generating insights from your data with exploratory data analysis. Then create visualizations including bar charts, histograms, and advanced visualization for easy interpretation and sharing of your data insights.
After learning all the foundational Python programming and data analysis skills in this Bootcamp, you will be ready to dive fully into machine learning.
Our Python Machine Learning Bootcamp builds off this foundational knowledge to turn you into a full machine learning data scientist. Pick up right where the Python for Data Science Bootcamp left off with advanced statistics and create machine learning models with logistic regressions, k-nearest neighbors, and decision trees.
From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.
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
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.
I just completed a week-long Python for Data Science Bootcamp, and it was truly one of the most valuable learning experiences I’ve had. The instructor was incredibly knowledgeable, patient, and genuinely passionate about teaching. He made complex topics easy to grasp by breaking them into manageable parts and encouraged questions throughout. The hands-on exercises and mini-challenges were especially helpful in reinforcing each concept.
The instructor had great humor, was very friendly, and was good at explaining things. I had a great time in Colin's class!
Great structure and cumulative learning experience. Colin is one of the top instructors at Noble. Incredibly knowledgeable, empathetic, and supportive to students who are new to programming. He does a great job of connecting "coding speak" into a tangible, real-world example so that students who are less technically savvy can understand the material.
This class exceeded my expectations—engaging, practical, and incredibly well-taught. Even as a remote student, I felt fully connected and confident in what I was learning. Highly recommend!
The instructor had a good way of presenting the material to make it understandable. I learned Python, and the data science side of the class taught me a lot, too.
Python for DS taught by Brian is a good use of one's time. Brian is capable of explaining and clarifying things for students and is motivating and encouraging.
It's a lot of info but the instructor was very good!
Class content and materials were excellent. Brian is hands down one of the best instructors at Noble Desktop - a rare combo of both excellent technical expertise and the ability to communicate it in layman's terms. His expertise & teaching style made the course both enjoyable and effective. He explained complex concepts clearly and made the material accessible, even for those of us who were new to programming or data science. He encouraged questions & fostered a collaborative atmosphere that made the learning process enjoyable.
This course was well-structured, with clear, step-by-step explanations provided through interactive notebooks. Watching Mr. McClain code in real time and explain each concept made it easy to grasp even complex topics. What I appreciated most was the practical approach rather than just the theory. We worked on real coding examples. Mr. McClain was willing to clarify doubts and was very knowledgeable.
Great insight, expertise, and outstanding examples.
Awesome hands-on learning experience. I loved being able to follow along in Google Colab, make mistakes, and try to figure them out, but also having the ability to get help as needed. Even as an experienced programmer in other languages, I found this very helpful due to the subtle syntax differences with Python. Will definitely take another class in the future!
The course content was amazing and communicated clearly.
I really enjoyed the class, it's a very good intro-level Python class. I think the instructor was very knowledgeable and engaging, and I plan to take more in the future.
The overall experience was very good. I loved that we spent a lot of time on Python fundamental data structures such as lists, dictionaries, etc. We did a lot of exercises. It was very important to me to understand these concepts well rather than just jumping to pandas. Brian is a great instructor. He explains the fundamentals very thoroughly, not just stating the rules but explaining the logic and examples and giving interesting and funny analogies. I have tried several bootcamps, and I know how most of the bootcamp teachers skip the fundamentals and logic by just stating the rules and covering huge materials in a super speedy way. The amount of knowledge understood and retained in this way is so little. With Brian it is different, he tackles the basis thoroughly, and takes time to explain important concepts in various ways. So, he approaches the course from a pedagogical point of view rather than just covering material.
The class was fast-paced, but that's what you'd expect from a bootcamp. Overall, it was a lot of information, but it was really good information. I think the tools, "handouts," etc, that we took away from the course will really help set me up foundationally for some novice Python-ing. I would say 95% of this course was applicable to my role or my future job responsibilities. Brian's flexibility in taking our questions and curiosity to then turn them into a teaching moment was very helpful and made the content even more applicable. He really took the time to make sure we were able to build from one concept to another.
It was affordable and informative. The class content was very comprehensive and easy to understand and follow. The content was interesting as well and was a good introduction to Python. I will be returning for future courses.
Well worth the investment. Terrific introduction to Python.
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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 in-person in NYC or Live Online via Zoom. 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 Noble Desktop, you’ll learn in small groups (typically 8-15 students) and receive personalized attention.
Get face-to-face interaction with an instructor and other students when you learn at our NYC campus. Courses are hands-on with a computer and software provided.
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.
Our instructors are veterans of their field and experienced educators, driven to help you succeed.
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 one month after the session.
Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.
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 any 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 allow Python to work with tabular data such as data imported from CSV or Excel file. Matplotlib package is a tool that allows for Python to have graphing capabilities similar to Excel. Lastly, Sci-Kit Learn allows for regressional 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 both Python. Additionally, students will be proficient in various Python libraries such as NumPy, Pandas, Matplotlib, and Sci-Kit 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.
Yes, this course is open to beginners. Students must be comfortable using a computer. No other prior knowledge is required.
This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).
You have some options:
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.
We don’t currently offer discounts as we do our best to affordably prices our courses.
