Coding Classes for Beginners Near Me

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 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.

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.

In this certificate program, participants will learn the skills needed to become a front-end web developer. Students will learn to build webpages with HTML, CSS, and JavaScript. Students will also learn developer tools such as Git to collaborate with developers in addition to learning modern web technologies such as Flexbox, Grid, and Bootstrap to efficiently create responsive websites. Attendees will learn the skills needed to start a career as a front-end web developer. The program includes a free retake, and each course includes a step-by-step workbook.

The OU Outreach Coding Bootcamp, in collaboration with Fullstack Academy, offers a flexible 16-week full-time or 28-week part-time program for aspiring Web Developers, allowing them to maintain their current job while learning. This comprehensive coding curriculum is divided into five units, covering Front-End Foundations, Front-End Development, Development Libraries, Back-End Development, and Full Stack Development, culminating in a Capstone project to enhance students' portfolios.

Fast-track your tech career with Utah State University's full-time Coding Bootcamp from Fullstack Academy. This 16-week intensive online program is designed to transform beginners into job-ready web developers, equipping you to drive innovation in a variety of industries and embrace the freedom of remote working

In this FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

In this 3-day bootcamp, beginners will be transformed into confident SQL users who can write queries, manipulate tables, and store advanced code. Participants will start by learning about relational databases and SQL fundamentals and will conclude the program having mastered complex retrieval tasks and storing complex code. Topics include composing queries, creating your SQL databases, automating workflow with stored procedures, and step-by-step exercises that will provide an efficient and thorough approach to mastering SQL. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.

In this 18-hour SQL Bootcamp open to beginners, participants will discover the essentials of databases and how to write SQL code to retrieve and analyze data. Through hands-on exercises, participants learn everything from data types to basic queries and advanced topics, including aggregating and joining. Topics include SQL GUI basics, fundamental to advanced querying, table creation, joins, views, functions, and external data connections. The course is taught using PostgreSQL and applies to other relational databases, including SQL Server and MySQL. Participants can retake the course for free within one year.

In this 60-hour class, participants will learn how to develop apps for iPhones and iPads. Students will learn programming concepts as they work on assigned apps using Swift and Xcode. Attendees will also work on their own final project outside of class with guidance from the instructor. Participants will learn to incorporate interactive elements such as buttons and swipe gestures. Participants will also connect the interface to the logic code that makes the app function, learn to use data models and external datasets, and much more. The class includes a free retake and a step-by-step workbook.

In this course, participants will learn the fundamentals of relational databases and begin writing SQL queries to extract data from databases. They will receive essential training in the basics of the three core components of SQL: relational DBMS, SQL, and Microsoft SQL Server. They will work through practical hands-on exercises, writing real SQL code and reinforcing their knowledge of database architecture along the way. Tuition includes hands-on training, a free retake, and a course manual. The course has flexible scheduling options and is available online and in NYC.

This 3-day SQL Bootcamp consists of three courses (Levels 1-3) and helps students with little to no prior SQL experience go from novice to pro in a couple of days. The first course, SQL Level 1, covers the basics, including an introduction to SQL and relational databases, the graphical user interface (GUI), and some of the coding basics. The second course, SQL Level 2, introduces students to SQL queries and subqueries, using JOINS, math and logic functions, as well as variables and user functions. The third and final course, SQL Level 3, walks students through importing and exporting data, building control structures, temporary tables, and stored procedures. Each course concludes with student labs to help cement the skills students learn in each course.

This 1-day SQL Level 1 course is intended for those who have little to no prior SQL experience looking to learn the basics of relational database management. This course teaches the most important basic concepts to make students feel at ease when working with SQL. There are several topics covered in this course, including a broad introduction to SQL, an overview of the Graphical User Interface (GUI), and a significant focus on code, which teaches students about basic clauses, aggregations, joins, and filters. The course also includes student lab time to review and solidify the major topics covered in the course.

This 1-week Python Immersive is geared towards beginners with no prior coding experience and 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 2 projects of their own.

This course provides an introduction to the use of Python programming language for data analysis. Python, through the use of list and string manipulation, control structures, and data analysis packages, can be used to manage and analyze large sets of data. In this course, you will learn how to use Scipy, Numpy, Pandas, Seaborn and matplotlib to analyze data and create visualizations. This course has 4 units, covering list manipulation, strings and simple I/O, control structures and data analysis packages. IPython notebook is also used to show how codes and change codes are used during class.