Python Classes NYC

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

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 immersive course prepares students to become Data Scientists with lessons in Python, machine learning, automation, and SQL. The courses are hands-on with multiple projects throughout that students can add to their portfolios.

Create dashboards and other interactive visualizations with Python and its libraries in this hands-on course. Participants will also learn how to deploy projects online using Heroku server and GitHub.

In the Python for Data Science Masterclass, students learn both foundational and advanced Python programming skills, including data types, control flow, and object-oriented programming. The curriculum covers data science libraries like NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization. The course also covers advanced techniques such as web scraping, database querying, and using APIs.

The Advanced Python for Data Science Bootcamp teaches students how to refine their Python programming skills by learning advanced functions, web scraping techniques, and working with JSON data and APIs. The lessons cover regression analysis, creating complex visualizations, and integrating SQL in Jupyter Notebooks. The course also dives into the use of libraries like Seaborn and Beautiful Soup for data visualization and web scraping, respectively.

Develop AI-powered web apps in this advanced Python course, where you'll use Flask and the OpenAI API to create dynamic sentiment analysis applications. Gain essential skills in web development, error handling, and deployment, taking your Python projects to a professional level with real-world AI integration.

In this Python automation course, students will learn to automate tasks using Python for various applications. This course is meant for those with prior Python experience looking to learn automation techniques like scheduling programs, updating spreadsheets, and web scraping. Topics include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. This course offers flexible scheduling options plus a free retake for students to refresh the material.