Python Classes Virginia Beach, VA

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.

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.

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.

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.

This introductory Python Programming course covers data types, writing functions, mathematical and datetime modules, and string formatting. Once the basics are covered, it dives into flow control such as loops, list comprehensions, enumerations, and is-is not operators. Finally, it takes a look at using virtual environments, command lines, and file processing to execute Python files.

Advanced Python Programming covers lambda functions, mapping & filtering, sorting, and advanced topics such as mutable and immutable built-in objects. This course also introduces topics such as inheritance, attributes, methods, and properties. You'll apply what you've learnt by using an API to get data from a website, saving it into a CSV, and cleaning it up using Python.

Apply Python skills to your data science career in this five-day intermediate course. Software engineers, data scientists, and data engineers all benefit from this course. Specific course topics include a Python review, iPython fundamentals, numpy number sets, scipy subpackages, panda dataframes, matplotlib plots, the Python image library, seaborn data visualization, SciKit classification, TensorFlow overview, PySpark, and Spark SQL, MLib, and streaming.

Explore some Python programming basics in this three-day, beginner-level course. Participants learn how to write professional-grade programs that optimize workflow and empower decision makers. Specific course topics include a Python overview, linguistic basics, sophisticated operations and types, control structures, information statements, functions, classes, and modules.

Learn Python basics like functions, unit testing, and features in this four-day introductory course. Participants learn how to use this simple yet powerful programming language to solve everyday problems. Specific course topics include a Python introduction, syntax basics, types, collections, functions, classes, error messages, I/O files, Pyramid web applications, Python iterations, NoSQL, ORM, and Mongo databases, redistributables, and debugging procedures.

This four-day, intermediate level Python class focuses on enterprise-level problems and solutions. Participants acquire these skills through a 50-50 combination of hands-on learning and live instruction. Specific course topics include a Python refresher, essential OS skills, binary data, dates and times, functions, packages, models, metaprogramming, development, testing, database architecture, network programming, multiprogramming, data serialization, advanced data handling, and information scripting.

Self-taught users and programming novices acquire more solid Python skills in this five-day introductory course. The intense curriculum moves quickly from Python basics to some advanced features. Specific course topics include a Python overview, the programming work environment, controlling flows, managing arrays, working with sets, dictionaries, and files, functions, data sorting, handling exceptions, using packages and models, classes, expressions, libraries, times, dates, file systems, advanced data management, network programming, and real-world writing skills.

Combine Python scripting skills with security analysis tools in this five-day intermediate course. Participants learn to build robust scripts that add value to their organizations. Specific course topics include object and numeric types, data strings, Python statements, dictionaries, prints, expressions, assignments, and risks, conditional statements, syntax rules, functions, classes, models, and repetitive statements.

Leverage Python’s functionality in a variety of security-related tasks during this four-day advanced course. Data security professionals learn how to create robust Python-based programs that optimize workflow and give decisionmakers additional peace of mind. Specific course topics include a Python overview, flow control, working with sequences, files, sets, functions, and dictionaries, data functions and sorting, dealing with exceptions and errors, data packages, modules, classes, and expressions, file systems, network services, file analysis, security filters, and packet analytics.