Learn coding and data science skills in hands-on training classes for high school students and teens. Build your data science skills so you can build predictive machine learning models and land an internship or job in data science.
Get going in programming with Python and build data science skills in these Python summer courses.
30 Hours $1299
Learn programming fundamentals & data science in Python in a 2-week computer summer camp. Gain an in-depth understanding of Python, data science, including inputting, graphing, and analyzing data.
30 Hours $1299
Learn Python for machine learning and automation in this 2-week advanced Python course. Machine learning and automation are some of the most popular buzzwords around the business world these days with Wall Street-ers and big tech so focused on machine learning and automation.
Learn more coding, design, and business skills in these summer courses. Learn from top instructors in hands-on training. Work on projects to develop your skills and create.
30 Hours $1299
Learn fundamental Java programming skills and prepare for AP Computer Science or college-level programming. Beginners will become advanced coders through our fast-moving curriculum and project-based approach to learning.
60 Hours $2495
Learn to create webpages by coding HTML & CSS. Learn best practices for structuring the content of your webpages with HTML, then styling the content with CSS. Add interactivity and functionality to your site using JavaScript.
30 Hours $1299
Get started in front-end web development with this summer course. Students first learn to build and design webpages by coding in HTML & CSS. Students will also learn the core concepts of accessibility and responsive web design,
30 Hours $1299
Learn to create dynamic websites and add functionality to your site with this JavaScript & Flexbox summer course.
15 Hours $699
Continue your computer science journey with this Java Level 2 summer course. Pick up where Java 1 left off and continue to advanced your skills and prepare for AP Computer Science and college-level programming classes.
Whether you are looking to boost your skills, build your resume or college application, or create the next big startup, python, and data science classes can be a great way to accomplish these goals. High school is the perfect time for students to start building their skills and learn coding skills and they can leverage these skills to go into computer science in college and beyond.
Working in a programming language teaches you more than the basic syntax of a programming language. In coding classes, you learn how to think and problem-solve in a way that you probably haven’t done before. Thinking in code is like learning a new language and it will expand your mind and your abilities in other domains. There are lots of different problems to solve and lots of working answers in computer science. In our data science and Python classes, you'll work through a handful of exercises to challenge the way you think and turn you into a programmer. You'll learn to think about data in different ways and expand your capabilities. Instead of going through manual processes to analyze data, you'll learn to think bigger and automate with Python. You'll learn to create repeatable analyses and visualization to enable data-driven decision-making. Expand your capabilities and problem-solving skills in data science and Python classes.
One of the coolest parts of computer science is that you learn to build things from basically nothing. Python is one of the best languages to do this because it is so versatile. You can build software, websites, and machine learning models with Python. You'll get going with core Python programming and build your data science skills up to the next level to become a powerful data analyst and data scientist. With the power of machine learning, you'll not only be able to analyze historical data, but you'll actually be able to use that data to predict the future. Learn Python in these courses and start building programs and machine learning models.
Data scientists are one of the most in-demand and high-paying jobs out there today and you can position yourself to become a data scientist with these Python and data science courses. With these data science skills, you'll be able to build up your portfolio to show to prospective employers and you'll be an asset to any company looking for an intern. Get ahead and build your data science skills so you can have powerful and in-demand skills in the competitive job market.
Python is a versatile, general-purpose programming language that has gained lots of popularity in recent years. Python has its applications build software, create web applications, automating tasks, and creating machine learning models.
Python has become the #1 language for data science and with all its power and packages, data science can be a pleasure with Python. With all its flexibility and efficiency, Python is the “most wanted” programming language for the second year running, according to Stack Overflow. There are tons of resources available online and community support for Python.
In Python classes, you'll learn to leverage the powerful data packages like NumPy, Pandas, Matplotlib, and Sci-Kit Learn to become a well-rounded data scientist.
From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.
You can attend training live online at the scheduled time the course is offered (New York, Eastern Time) through screen-sharing software Zoom (free for you).
Due to the unfortunate spread of the Coronavirus, most of us are left working remotely, social distancing, thus resulting in a lot of free time with very little to do. In this article, I want to explain how you can use your free time in the most efficient manner by learning a new skill that can progress your career to new lengths.
With COVID-19 leading to camp cancellations across the country, many parents and students are looking for fun and productive options for the summer. NextGen Bootcamp, an education company for h...
Whether you’ve always wanted to study computer science or you’re inclined to do something different in college, coding bootcamps offer a wealth of advantages not found anywhere else. Dynamic and hands-on approaches to problem-solvin...
Python is a general-purpose programming language that can be used to develop applications, analyze and visualize data, create machine learning algorithms, automate tasks, and much more. Python is open-source and offers a ton of support and packages to make data science a lot simpler. Python is the most commonly used programming language for data science and Python was also voted the "most wanted" programming language by a survey from Stack Overflow.
Data science is the discipline of using data and statistics to make predictions. In many industries, data science is used to make strategic decisions and solve challenging analytical problems. Data science can be used to predict stock prices, create revenue projections, or create any sort of predictive model based on data.
Pandas is an open-source library that provides high-performing, user-friendly data analysis tools for Python. Pandas stands for "Python Data Analysis Library" and it is a key building block for data science. Pandas allows you to take data and convert it to a Python object called a dataframe. Pandas makes importing and working with data from csv's or SQL databases easy.
NumPy is a powerful linear algebra package for Python. It is primarily used for scientific computing. Many other libraries (Pandas, Matplotlib, and Sci-Kit Learn, for example) are dependent on NumPy.
Matplotlib is a popular library that allows data scientists to visualize data. Data visualization is a crucial step in making data accessible. It allows you to identify outliers and patterns quickly while making data interpretation easier overall. The package is completely free and easy to install so you can start creating histograms, pie charts, line graphs, and more with Python.
Scikit-learn is a machine learning library for Python that works with NumPy arrays and focuses on modeling data, not operating on it (NumPy and Pandas handle this).
Machine learning is the process of teaching computers to make decisions based on data. Machine learning is a subset of artificial intelligence and creates programs to automate analysis and learn from data for predictive modeling. Using Python and machine learning, you can train a computer to understand a dataset and predict future outcomes based on it.
