Coding Classes Richmond, VA

Become a Software Engineer or Full Stack Developer in this immersive course. Master the front-end using HTML, CSS, JavaScript, and React; build the back-end with Python, Django, and Node.js. You'll also learn Git for version control, Flexbox and Grid for layout, MongoDB for creating data structures, and much more. Throughout the program, you'll build a portfolio of projects to help you secure a career in software and development. 

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.

Meet the global demand for technical problem-solvers by developing your coding skills to create full-stack web applications across multiple frameworks, incorporating functionality from third-party APIs, executing software engineering projects in an Agile development workflow, and more.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

In this certificate program, participants will learn the skills needed to become a full-stack web developer. Students will learn to build the front-end of websites with HTML, CSS, and JavaScript as well as learning how to program the back-end of websites with Node.js. Students will also be introduced to developer tools such as Git to collaborate with developers as well as modern web technologies such as Flexbox, Grid, & Bootstrap to efficiently create responsive websites. Attendees will learn the skills needed to start an entry-level career in development after graduation. The program includes a free retake and each course includes a step-by-step workbook.

This program prepares students to enter the web development field, in as few as 12 weeks. Students will explore full-stack development tools, such as HTML5, CSS3, JavaScript, PHP, Bootstrap, jQuery, and much more. Graduates of this program will also benefit from career and job matching services.

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.

In this 2-day introductory Python course, participants will learn the fundamentals of Python programming. This hands-on course will give students with no prior Python experience the foundational programming skills needed to continue learning Python’s applications in data science or web development. Topics include Python environment setup, programming concepts, data structures, exceptions, Python syntax, and more.

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 course teaches the fundamentals of SQL querying. This 1-day program teaches students how to execute a simple query, perform a conditional search, work with functions, and organize data. Further, students will learn how to retrieve data from multiple sources and export query results via a text or XML file.

This 1-day course builds on the fundamentals of SQL querying. This intermediate program teaches advanced querying techniques. The coursework will cover the use of subqueries to perform advanced querying, manipulating table data and table structure. Students will learn how to work with views, index data and manage transactions.

This 3-day introductory course teaches the basics of SQL databases. Through the use of labs and lectures, students will learn the fundamentals of data modeling, the use of relational databases, and the normalization of raw data. Students will also learn how to design relationships, evaluate query performance, and use stored procedures.

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 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.

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

This course is a 4-day comprehensive workshop on MySQL workbench data modeling and development. This program uses an online lab environment to allow students to practice what they are learning. The live training covers topics such as creating an ERD, defining the physical schemata, reverse engineering a database, managing security, and more. Students will also learn how to use MySQL Workbench to create and maintain MySQL databases effectively.

JavaScript Basics course starts off by teaching you the basics: syntax, how to access elements, dot notations, methods, and properties. It also covers variables, arrays, and different types of operators. Once basics are covered, it moves on to programming logic such as for/while loops and other conditionals. Finally, you get to apply your JavaScript knowledge by embedding it into HTML/CSS documents to create dynamic and functional websites.