Python Bootcamps New York

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. After completing this certificate, students will be able to apply for the following roles: Python Developer, Back End Developer, Software Engineer, and many more.

This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This 1-week Python Immersive is geared towards beginners with no prior coding experience and meant to give students a fundamental understanding of Python to start coding on their own. Students will learn best practices for coding with Python, work on exercises and programs in Python, and conclude with 2 projects of their own.

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

This course provides an introduction to the use of Python programming language for data analysis. Python, through the use of list and string manipulation, control structures, and data analysis packages, can be used to manage and analyze large sets of data. In this course, you will learn how to use Scipy, Numpy, Pandas, Seaborn and matplotlib to analyze data and create visualizations. This course has 4 units, covering list manipulation, strings and simple I/O, control structures and data analysis packages. IPython notebook is also used to show how codes and change codes are used during class.

This comprehensive Python course teaches beginners how to code, analyze data, and create machine learning models with Python. Students will start with the basics of programming in Python and build up their data skills on their way to learning machine learning and automation. Topics include programming fundamentals, data analysis, data visualization, machine learning, automation, and web scraping. This course offers flexible scheduling options and provides a free retake so students can refresh the material.

Gain fluency in Python — the world's fastest-growing major programming language — and start leveraging its versatile capabilities to build web and data science applications. This course is offered in person and live online, in a remote classroom setting.

This certificate program offers an introduction to Python programming. With online and on-campus options, students will learn from expert programmers. The curriculum will begin with syntax, data types, and operators before moving on to more advanced data types and the fundamentals of algorithms. Students will also learn about data manipulation and Python utilities.

This Python machine learning course teaches machine learning methods and modules with the Python code designed to implement them. The units of this course explain simple and complex linear regressions, classification methods for logistic regression, discriminant analysis, and naïve Bayes, support vector machines and tree-based methods, regularization strategies, and how to use clustering algorithms. Completion of this 20-week course will prepare students to use machine learning algorithms to analyze complex datasets and make logical predictions.

Learn to code in this beginner hands-on Python programming course. This course is designed to give you a comprehensive understanding of Python programming fundamentals and get you coding on your own. If you're new to programming and ready to immerse yourself, this is the course for you! You'll learn how to professionally structure your programs and solve real-world challenges using Object-Oriented Programming. You'll also work on your own coding projects for your portfolio, and learn the common questions asked in a Python job interview.

Python Bootcamp is a 14-week full-time program that will teach you to be a full-stack developer. Unlike most full-stack developer programs that focuses on front-end topics first like HTML/CSS and JavaScript, this program teaches you Python and database (back-end) first. Besides from this difference, you'll learn how to use popular frameworks like React and they also have an AI assistant that will help answer questions you might have along the way. You will graduate with a capstone project in hand to showcase to potential employers.

In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those concentrated in AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal, specialized career path in the industry.

This summer course for high school and college students dives into Python programming and its applications in data science. After they master some Python fundamentals, students move onto more advanced topics. Using platforms like Matplotlib, Pandas, and scikit-learn, students learn how to input, graph, and analyze data. This course gives attendees a head start on the most popular and versatile programming language and the fundamentals for a career as a data scientist or analyst.

The University of New Mexico Continuing Education AI & Machine Learning Bootcamp, powered by Fullstack Academy, offers a comprehensive 26-week part-time program designed to accommodate working professionals seeking to advance their skills in AI and machine learning. This active learning approach combines lectures, labs, and projects, allowing students to acquire hands-on experience and practical knowledge applicable both remotely and in New Mexico's growing tech industry.

The AI & Machine Learning Bootcamp at the University of San Diego, powered by Fullstack Academy, offers a dynamic 26-week part-time curriculum, welcoming students from various professional backgrounds into the world of artificial intelligence and machine learning. This program blends theoretical knowledge with practical application, using lectures, labs, and projects to equip students with the skills needed for existing roles or new careers in the data field.

This Python for Finance Immersive course gives students a deep understanding of the use of Python for data extraction, analysis, and visualization. Throughout the 30-hour program, the students will work with NumPy, Pandas, Matplotlib and other scientific libraries as they learn how to pull and process data. Students will graduate with hands-on experience working with Jupyter Notebook, having completed small projects using Python to analyze data. This program is open to beginners, with no requirement for experience in advanced mathematics or coding.

Learn Python for financial analysis, machine learning, and algorithmic trading from experienced finance & engineering professionals in this 60-hour immersive.

This 24-week program gives students a comprehensive background in FinTech, covering topics such as Python programming, blockchain, advanced trading algorithms, and cryptocurrency. Students will create a professional portfolio to demonstrate their expertise to professional employers. Dedicated career services will support graduates as they look for their first job.