11 Best Python Bootcamps To Grow Your Skills in 2023
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Do you want to learn Python but don’t know where to start? Python is a great coding language for beginners, but it’s also a powerful tool for advanced applications like data science and machine learning.
Bootcamps are one of the most effective ways to learn Python, especially for those looking to get into data science. To find a bootcamp that meets your learning needs, read on for a comparison of the 11 best Python bootcamps.
What Is a Python Bootcamp?
Python bootcamps are training programs that help students master both Python fundamentals and advanced topics. Also known as coding bootcamps, these courses often cover other popular programming languages like SQL or R. Many bootcamps focus on specialized applications of Python in fields like data science or software engineering.
11 Best Python Bootcamps
Here’s how the 11 best Python bootcamps compare by rating, price, curriculum, and more.
Springboard’s Data Science Career Track is designed to help students launch careers in data science. Students build applied data science and programming experience through hands-on projects as well as a unique capstone project. Key topics include:
- The Python data science stack
Students learn how to use Python and its standard libraries. Students build visualizations with Madplotlib and Seaborn and write elegant Python code using the PEP8 standard.
- Machine learning
Students use scikit-learn, a Python library for machine learning (ML), to implement supervised and unsupervised machine learning algorithms. Students learn top ML techniques like linear and logistic regression, clustering, decision trees, and more.
- Software engineering for data science
Students learn how to write better code, test and debug code, and work with production systems.
This course is best for career-focused learners who want a job guarantee. Springboard pairs each student with a personal industry-expert mentor. Through their mentors, students receive career advice as well as academic guidance throughout the program. Students also work one-on-one with a career counselor to facilitate their job search. Springboard also promises a full refund to bootcamp graduates who do not land a data science job within six months of completing the course.
To enroll, students need six months of active coding experience with general-purpose programming languages and a basic understanding of probability and descriptive statistics.
Six months at 15-20 hours per week.
$9,900 – $11,340.
The following three topics form the core of Byte Academy’s Data Science Bootcamp:
- Python and SQL
Students learn how to use Python in a data science context. Students also learn how to use SQL to interact with databases.
- Machine learning and mathematics
Students master a basic understanding of calculus, linear algebra, and statistics in the context of machine learning. Students also learn to use data to create accurate predictive systems.
- Data visualization
Students learn to communicate the results of data analysis with compelling visuals.
This course is best for students who want an online coding bootcamp that includes an internship. Bootcamp students enrolled in the full-time program participate in a four-week mandatory internship with a real company.
This program offers a deep dive into Python programming fundamentals. The curriculum emphasizes real-world programming skills through code-alongs and labs. Key topics include:
- Applications of Python
Students explore Python’s powerful applications in web development and data science.
- Python programming concepts
Students build a solid understanding of Python’s vocabulary and collaborate with classmates on coding exercises.
- Real-world portfolio projects
Students build an application from scratch. Depending on the focus of the cohort, students will either manipulate and visualize data with Pandas, or integrate APIs into a web app with Flask.
Get To Know Other Data Science Students
Complete beginners who want to develop basic programming knowledge.
10 weeks of evening learning or a condensed and accelerated one-week course.
Remote or on-campus.
- Udemy: 4.6/5
Focusing exclusively on Python, this course teaches students how to build applications and games. The program covers Jupyter Notebook, .py files, and complex topics like decorators. Key topics include:
- Object-oriented programming
Students learn to structure programs by bundling related properties and behaviors into individual objects.
- Methods and functions
Students learn how to use built-in and user-defined functions.
- Modules and packages
Students install Pip and PyPi and learn how to use them.
Beginners without programming experience or programmers who are learning Python for the first time.
$16.58 per month, or $139.99 for full lifetime access.
- Full-stack architecture
Students learn how to build and run interactive web applications with HTML, CSS, Python, and Django.
- Distributed applications
Students take a deep dive into building complex web apps.
- Data-intensive applications
Students learn to manage large amounts of data and practice development-security operations (DevSecOps) to handle cloud-based operations.
Students who have an open schedule and want an intensive program. Unlike most online bootcamps, this program follows a schedule that Hack Reactor calls “Nine 9s.” Students participate in live classes for nine consecutive days, nine hours per day, with no class on the 10th day. Classes are held from 9 a.m. to 7 p.m.
19 weeks at 40 – 60 hours per week.
NYC Data Science Academy is another career-focused bootcamp provider. The program is designed to help students land jobs and offers both part-time and full-time instruction options. Key topics include:
- Python and R
Students learn how to implement these programming languages in the context of data analytics. Students also practice using Python and R to communicate the results of their analysis.
- Machine learning
Students practice machine learning with Python and execute research projects that incorporate advanced data science methodologies.
- Deep learning and big data
Students learn about scalability, deep learning models, big data technologies, and cloud computing.
Choose this course if you’re looking for live instruction. Live classes are offered in-person or remotely via Zoom, although those who prefer to create their own schedules are able to choose an interactive distance learning structure that does not include live instruction.
Applicants should have a master’s degree or Ph.D. in science, technology, engineering, or math. Bachelor’s degrees in these fields—as well as non-STEM subjects—will also be considered.
12-24 weeks at 20-40 hours per week.
Remote or in-person in New York City.
Bottega’s program offers a highly structured support system, including a daily schedule class time in which students interface with classmates and instructors in a live learning environment. Key topics include:
- Programming in Python
Students practice programming through interactive exercises focused on key concepts like functions, classes, objects, and more.
- Python software development
Students explore advanced Python features like scripting, modules, packages, and more.
- Front-end foundations
The aspiring software developer. This course focuses on the programming tools that software engineers use every day.
40 weeks. The bootcamp includes 50 hours of pre-work and 600 hours of curriculum. Students can choose between live classes and asynchronous, self-paced learning.
- Udemy: 4.7/5
This program promises to help students master Python through 100 projects over the course of 100 days. Over the course of the program, students learn game, app, and web development, data science, and machine learning. Key topics include:
- Python programming fundamentals
Students complete interactive coding exercises to explore variables, debugging, data types, and other Python basics.
- Web development
Students learn HTML and CSS for front-end development. Students practice web scraping with Beautiful Soup.
- Data visualization
Students practice data exploration, cleaning, and visualization with real-world data.
This course is best for students on a budget. While this course doesn’t offer career services or mentorship, it is a highly affordable online coding bootcamp.
The course can be completed at your own pace. The curriculum includes 60 hours of on-demand video, 128 downloadable resources, and 230 articles.
$16.68 per month or $84.99 for full lifetime access.
These three topics form the core of the Flatiron School’s Data Science Bootcamp:
- Data analysis and engineering
Students learn how to extract and visualize insights from data using Python and SQL.
- Scientific computing
Students use scientific computing tools in Python—including NumPy, Pandas, and SciPy—to create data reports.
- Machine learning
Students explore foundational machine learning models like linear and logistic regression before building advanced models with complex algorithms.
Total beginners. Flatiron courses are designed to accommodate learners without prior STEM experience.
Most students take 15 weeks, at eight hours a day and five days a week, to finish the course. However, there are some other flexible scheduling options.
Remote or in-person in New York City.
- Udemy: 4.6/5
This course teaches students how to use Python to analyze data, build effective data visualizations, and run powerful machine learning algorithms. Key topics include:
- Data visualization
Students learn to use Madplotlib, Seaborn, and plotly to create data visualizations.
- Machine learning
Students explore machine learning with sci-kit learn, including topics like linear regression, K means clustering, natural language processing, and more.
- NumPy and Pandas
Students learn to use NumPy—a key Python library—and Pandas (a high-level data manipulation tool) to solve complex tasks.
This course is designed for beginners with some programming experience or experienced software developers eager to transition into data science.
Self-paced. The course includes 25 hours of on-demand video, five downloadable resources, and 13 articles.
$16.58 per month or 84.99 for lifetime access.
This course teaches students to build applications from scratch using Python, SQL, and APIs. The course trains students to think like developers while building technical skills with popular programming languages. Key topics include:
- Critical programming tools
Students learn how to use GitHub, the command line interface, Visual Studio Code IDE, and virtual coding environments.
- Python Programming
Students use Python to learn back-end engineering and build automation software.
- Python APIs
Students learn how to integrate Python applications with RESTful APIs to leverage millions of datasets.
This course is best for students who want to start slow before intensifying their learning experience. Coding Nomad students can start with self-paced learning at a low price point and then switch to more expensive mentor-led learning in order to master complex concepts.
Self-paced, or three months at 10-20 hours per week for the three-month intensive version of the program.
Variable. $9 per month buys access to course content and a members-only forum, while $899 per month buys access to an intensive, mentor-led program. The flat rate for a three-month intensive program is $2499.
How Do You Choose a Python Bootcamp?
Wondering which bootcamp program is right for you? Consider these factors when making your decision.
Consider whether the course materials align with your learning goals. If you’re exploring computer science for the first time and looking to build foundational programming skills before moving on to more advanced topics, focus your attention on bootcamps that are exclusively dedicated to coding.
If you’re looking to learn how to apply programming skills to data science or software development, focus on longer, more-in depth courses that cater to those specializations.
If you want to pivot into the tech industry, narrow down your list of programs to career-focused courses. Python programming skills can prepare you for a variety of roles in machine learning and software development.
If you’re interested in artificial intelligence, focus on a data science specialization. If building apps, games, and websites are your goal, focus on a software engineering specialization. Regardless of the path you choose, you’ll need a combination of technical skills and soft skills, so choose a course that will help you practice communicating your results.
Mentor-led programs are often pricier, but guidance from an industry-expert mentor will deliver robust returns. If your budget allows, prioritize programs that connect students with industry veterans who can offer career advice as well as answers to technical questions about the curriculum.
When evaluating a bootcamp’s rating, consider the number of reviews used to generate that rating. A high number of reviews will generate a more accurate rating. If you have specific learning needs, search reviews for keywords related to your needs. If your goal is to launch a career, look for data reporting the percentage of students who landed a job after graduation.
Pricing and Payment Options
If you’re on a budget, keep an eye out for programs that offer income share agreements, deferred tuition plans, upfront discounts, month-to-month payment plans, or financing through loans. If your plan is to find a job after graduation, prioritize programs offering job guarantees that promise a full refund if you’re not able to find employment after finishing the program.
Bootcamp length is a key consideration when choosing the program that’s right for you. Are you able to commit to a six-month program, or do you need a shorter course? Take a look at your day-to-day schedule and evaluate your free time. Can you commit 10-20 hours a week to a program, or do you need something more flexible and self-paced?
Projects and Practical Experience
If you’re looking to land a job, you’ll need to build a data science portfolio that conveys applied Python programming skills to hiring managers. A strong portfolio will include three to four projects specific to your specialization. Focus on courses that center project-based learning and include capstone projects designed to help you launch a career in tech.
If your goal is to launch a new career, prioritize courses that offer career services. Programs like Springboard’s Data Science Career Track will help you create a successful job search strategy through one-on-one calls with your career coach. You’ll also get access to mock interviews, a professional data science network, and assistance with building your resume and LinkedIn profile.
A verified certificate of completion can help validate your skills when applying for jobs. Shareable certificates can be added to your LinkedIn profile and help draw recruiters to your page.
Making the Most Out of Your Python Bootcamp
Read on to find out how to make the most of your Python bootcamp.
How Do Python Bootcamps Work?
Python bootcamps begin with the basics of programming and gradually work up to more advanced topics. Most Python bootcamps are online programs that offer flexible schedules, though in-person instruction and remote live classes are available. Students learn to code—and eventually master more complex applications of Python—through videos, interactive exercises, articles, and projects.
What Should You Expect To Learn During a Python Bootcamp?
At minimum, an effective Python bootcamp will cover the following topics:
- Python fundamentals. Students should learn how to code with Python and use its standard libraries.
- Data visualization. Students should learn how to visualize data with tools like Madplotlib or similar.
- Python libraries. Students should learn how to use Python libraries that are relevant to their specialization.
What Will Your Schedule Look Like?
Your schedule will depend on the type of course you select. A remote, flexible course can be adapted to your existing schedule, while a live remote or in-person course will likely require you to alter your daily routine. Self-paced courses can be completed at your discretion, meaning you can step away whenever you desire and return to the class later.
FAQs About Python Bootcamps
Read on for answers to frequently asked questions about Python bootcamps.
Are Python Bootcamps Worth It?
Python bootcamps are effective tools for building Python programming skills. If you enroll in a career-focused course, you’ll walk away with the skills you need to land a job at the end of the program.
Are There Any Prerequisites for a Python Bootcamp?
Some Python bootcamps do carry prerequisites. Courses with math or coding requirements are often more in-depth and focus on preparing students for a job in data science or machine learning. Courses that focus on basic skills are open to complete beginners.
How Much Does a Python Bootcamp Cost?
Bootcamp prices range from $9 per month to $25,000 in total. The one you choose will depend on your schedule, your learning needs, career goals, and budget. Many bootcamps offer payment plans or other financing options.
Do Companies Hire Bootcamp Grads?
Yes! In fact, 92.5% of Springboard grads report receiving a job offer within 12 months of graduation. Enrolling in a qualified bootcamp program can be the fastest way to launch a career in tech!
Since you’re here…
Thinking about a career in data science? Enroll in our Data Science Bootcamp, and we’ll get you hired in 6 months. If you’re just getting started, take a peek at our foundational Data Science Course, and don’t forget to peep our student reviews. The data’s on our side.