Python Classes Milwaukee, WI

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 forests. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of their models, as well as tips for choosing effective features and algorithms.

This one-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 course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This one-week Python Immersive is geared toward beginners with no prior coding experience and is 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 two projects of their own.

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 Framework, 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.

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 servers and GitHub.

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 of part-time study, 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 focused on AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal and specialized career path in the industry.

This beginner Python course is designed to get students comfortable with the basics of Python programming. The course will cover foundational Python concepts, including data types, data structures, control flow, loops, functions, importing and exporting data, and manipulating data. This weeknight class offers a low-touch way for those working full-time to get started with Python in the evenings.

This course on data wrangling with Python offers a three-day comprehensive introduction. The purpose of this course is to give an immersive foundation that equips students with the most critical data analysis tools. Students will learn how to work with NumPy, Pandas, and Matplotlib to calculate descriptive statistics, work with various data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 5-day introductory Python programming course is designed for students with no prior programming experience who are looking to get comfortable with the basic skills needed for Python programming. This skills-centric course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and working with a variety of data structures. By the end of the course, students will be familiar with writing programs to create real-world Python applications.