Python Bootcamps Near Me

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 so students can 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 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.

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.

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.