Python Classes Salt Lake City, UT

Become an Information Security Analyst or Cybersecurity Engineer. Gain a technical foundation in Linux, Python, computer networking, AWS, and web application architecture and learn professional cybersecurity tools and solutions.

This course covers the foundational protocols for network transfer and the fundamentals of Python programming for network monitoring. Students will also learn scripting tools for basic network security.

Learn how Python can be used to automate security processes, execute system administration tasks, and solve common IT problems.

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.

This beginner Python course is a flexible program meant to get complete beginners comfortable coding with Python. With a blended learning model, students will gain access to pre-learning and setup videos to hit the ground running. Students will learn to code with Python with a hands-on approach, building Python programs, and working with data. This course covers key programming concepts like object-oriented programming as well as data science fundamentals and culminates with a project creating an API to pull in 3rd party data. This 40-hour program can be taken in-person in NYC or live online over 1-week (full-time) or ten weeks (part-time).

This 3-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with basic skills needed for Python programming. The course will cover foundational Python concepts, including data types, control statements, using functions and modules, handling exceptions and debugging programs, working with lists, and how to work with a variety of data types. By the end of the course, students will be familiar with writing programs for simple applications.

This 2-day advanced Python programming course is designed for students already familiar with Python programming and who are looking to understand more advanced procedures. The course will cover a range of advanced Python concepts, including classes and objects, methods, inheritance, the importance of the Standard Library, working with the OS, advanced comprehensions, as well as testing and debugging programs.

This course on data wrangling with Python offers a 3-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 alternative data sources, and scrape web pages. The course culminates with a real-life data wrangling project.

This 2-day 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 Numpy Arrays, pandas, and MATPLOTLIB to perform data analysis and create data visualizations. This intensive course is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

This 5-day introductory Python programming course is designed for students with no prior programming experience and are looking to get comfortable with 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 how to work with a variety of data types. By the end of the course, students will be familiar with writing programs to create real-world Python applications.

This 3-day advanced Python programming course is designed for students already familiar with Python programming who are looking to understand more advanced procedures. This course will cover a range of advanced Python concepts, including classes and objects, methods, inheritance, the importance of the Standard Library, working with the OS, advanced comprehensions, as well as testing and debugging programs. Students will also learn how to package an application for distribution.