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Python Summer Camp (NJ)

Data Science Courses for High School & Gap Year Students

Python is quickly becoming the most widely-used programming language by computer and data scientists today. This course is divided into two distinct sections: coding fundamentals and data science. Students will first develop skills in programming using the python language. Next, they'll explore data science and learn to input, analyze, and graph data using Pandas, Matplotlib, and Sci-Kit learn. 

Python is easy to learn and there is no prerequisite math or coding knowledge necessary, making this an excellent course for beginners. Coding and data science are useful skills for anyone interested in finance, journalism/digital media, marketing, and communications. 

More Code Camps: This coding camp is also offered in New York City. Check out our other New Jersey Coding Camps

  • 55 Hours
  • Mac or PC provided
  • Book included
  • Top Instructors

Register for a class

$2495 Policies

2 University Plaza, NJ

What You’ll Learn

  • Learn how to write code using Python    
  • Learn how to input data using the Pandas package.
  • Learn how to clean and wrangle data.
  • Learn how to visualize the data.
  • Learn how to write and use machine learning algorithms. 
View full syllabus

Python Summer Camp (NJ) Class Syllabus

Day 1-3
Introduction to Programming
  • History of Python
  • Understanding Hardware
  • Anaconda Distribution
  • Jupyter Notebook Fundementals
  • Writing First Program (“Hello World”)
Terminal Commands
  • Navigate & Manipulate Directory Strcutres
  • Edit Files
  • Basic Scripting
Python Fundamentals
  • Objects
  • Types & Operators
  • Expression
  • Indexing & Slicing
Data Science Fundementals
  • Import Data
  • Functions
  • Lambda Syntax
  • Basic Data Tool
Advanced Python Fundementals
  • Lists
  • Mutating Operations
  • Tuples, Sets, Dictionaries
  • Loops
  • Control Flow
  • List Comprehension
  • Error Handeling
Day 4-5
  • Strings & String Methods
  • Read & Write to Text Files
  • Natrual Language Processing
  • Mini Project
Object Oriented Programming
  • Classes
  • Constrcutors
  • Object Methods
  • Writing Modules
  • Advanced Scripting
  • Terminal & Socket Connection
Day 6-8
Numerical Python
  • Arrays
  • Visualizing using Matplotlib
  • Data Shaping
  • Concatenating, Indexing, Slicing
  • Arithmetic & Boolean Operations
  • Histograms
Statistical Modeling: NUMPY 2
  • Linear Algebra
  • Saving & Loading Arrays
  • Randomness
  • Convolution
  • Statistics
Day 9-10
Python Data Analysis:Panda 1
  • Data Series
  • Data Frames
  • Import CSV & Excel Files
  • Organize Data Frames
  • Data Manipulation
Advanced Python
  • File Input
  • User Input
  • List Comprehension
  • Packages
Data Processing: Pandas 2
  • Cleaning Data
  • Filtering Data
  • Advanced Grouping
  • Timestamping
  • TimeDelta Objects
  • GroupBy Method
Data Visualization
  • Visualization Overview
  • Time Series
  • Histograms & Bar Plots
  • 3D Plots
  • Contour Plots
  • Quiver Plots
Final Project
  • Curate Data
  • Import, Clean, and Merge Data
  • Analyze Data
  • Visualize Data
  • Present Results
  • 3D stats model

    Learn to turn time-series data into dynamic 3D graphs.

  • 2 graphs

    Learn to build mutiple graphs at one time!

  • gold prices

    Learn to graph financial data from the 1800s to present day!

  • double line graph

    Learn to graph two sets of data on one grid.

  • heat maps

    Learn to bulild vector maps that measure heat sensitivity.

Class Overview Video

Spend Your Summer Coding Python

Gain real-world programming experience and data science skills in our Python summer camp! Coding know-how will undoubtedly increase your success in high school and college; in this class, you'll strengthen your college application, master computational thinking within real-world contexts, and have fun all at the same time!

Learn Python

This class has been created to help you become fluent quickly in python, the most powerful and popular coding language used by programmers today! Our activity-based curriculum will give you all the skills that two-semester college courses provide. 

Row of Students Learning Python

Break into the World of Data Science

Glassdoor has listed data science as the best job in America for the past 3 years! The skills you learn in this class can be used to analyze any type of data from financial to sport. 


Python used for data science

Immersive Learning

Your time is important. This course maximizes your time using hands-on activities and real-world scenarios to explore the challenging curriculum in a way that is both fast and easy! Students begin programming within the first hour of day one! 

Students Learning with Joyous Expressions

Register for Python Summer Camp (NJ)

$2495 Policies

2 University Plaza, NJ

Learn more about our Python Course

Python is a popular, back-end coding language. Both easy-to-learn and easy-to-use, it’s considered the top coding language in the world. Python is used to build software programs, web applications, online tools, and games. Also, you can use Python to customize popular computer software programs like Salesforce.

Created by Guido Van Rossum in 1991, Python was designed for general purpose programming. It’s most similar to other programming languages like C, Java, and Ruby. Python is managed by the Python Software Foundation, and its most recent update was Python 3 in December 2017.

The first half of this course will be teaching the fundamentals of Python. Students will learn technical skills such as writing programs in python as well as computation and algorithmic thinking. Students will also learn how to program in pairs and understand coding team dynamics. This course will teach students fundamental, language agnostic coding principles that are universal amongst all coding languages.  

The second half of the course is teaching data science using Python. Data science is a combination of mathematics, statistics, and computer science. Data science can be divided into three main sections, one being the collection of valuable data, the second being the analysis of data, and the third being the visualization of data. In this course, students will learn all three using Python and extensive libraries.

Why Learn Python at NextGen?

Easy to Learn: Python has a very intuitive coding style with its limited need for lexical syntax and English-like keywords. Unlike Java, Python code does not require punctuation after every line of code. This allows students to master Python quicker because they can focus on the concepts and paradigms and do not have to focus on the syntax.

Used by Many Companies: Even though Python is a great beginner language it is also extremely powerful. It is currently being used by the world’s top organization and companies such as NASA, Amazon, Google, Netflix, Facebook, and Apple. Along with its power, Python is extremely efficient. Python can achieve with 100 lines of code what Java or C++ can do in 500 lines.  

Extensive Libraries: Another large benefit to Python is the versatility of the language due to the libraries, packages, and frameworks that were created in conjunction with Python. Without libraries such as Pandas, NumPy, and Matplotlib - Python would not be used for Data Science. Additionally, Django and Flask are two frameworks that allow Python to be used for web development.

Community: A language is only as strong and useful as the number of people who are coding in it. Python has just surpassed 35 million downloads per year and an estimated 5 million programmers worldwide using Python as their preferred language. The massive adaption of Python by programmers is a testament to its impressive strength and speed. This also creates a value of the social network of Python developers. From googling coding answers on Stack Overflow to finding a job in a new city, the Python social network reigns supreme.

Convenient & Easy Location:  NextGen's classroom is located at 2 University Plaza Drive in Hackensack, NJ. This location is right off an exit on Route 4 and is extremely central within Bergen County. Our classroom sports a large screen TV, individual desks, free parking, and free coffee & tea! 

Network Effect: NextGen attracts high caliber, highly motivated students who are excited to learn to program. This creates a great network for the students in the current program as well as a great alumni network. We have educated students from top high schools in NJ such as Dwight Englewood, Frisch School, Bergen Academies, Northern Valley Regional High School, and more! Additionally, we have alumni who are currently attending NYU Stern, Wharton, Northwestern, Duke, Michigan, and many more!

Who should attend our Python Summer courses?

Our python course is designed mainly for high-school students but college students are welcomed as well!

This course is a great introductory to the world of programming and computer science. Anyone who is interested in business, technology, entrepreneurship, journalism, and many other different jobs. Python is incredible because its being used by so many different types of people from programmers to academics to financiers.

Are there any prerequisites for the Python course?

This course has no math or coding pre-requisites, but students must be comfortable with basic computer skills and have a desire to learn at an advanced level.

Python Course Detailed Overview

  • Overview of Coding & Programming: Learn how the Python language works, basic computer organization and architecture.
  • Introduction to Programming: Learn Python basics, syntax, dynamic language, write the first program, learn how to compile and run programs in the terminal commands, learn how to use Sublime Text.
  • Variables, Data Types, and Operators: Learn how to assign and declare variables, primitive variable types such as integers, strings, Booleans, and floats, mathematical operators, and/or operators, and proper programming practices such as commenting and variable naming.
  • Control Flow: Learn how to structure code, if-else statements, for loops, while loops, global and local variables, nested for loops, switch statements.
  • Functions: Learn how to create repeatable code using functions, parameters, arguments, return value, the motivation behind functions.  
  • Lists, Strings, Tuples, and Dictionaries: Learn how to store data using lists, declaring an empty list, index, appending to a list, using loops and lists, manipulate strings, and understand how key-value pairing works.
  • Modular & Object-Oriented Programming: Learn about classes, encapsulation, inheritance, super-class, polymorphism, and learn how to navigate packages and understand abstract classes and method overloading.
  • Numerical Python: NumPy, arrays, datatype, shape, indexing, slicing, masking, linear algebra, convolution, Fourier.
  • Statistical Modeling: Scipy, Discrete and continuous probability distributions, sampling, linear modeling, Monte-Carlo simulation, regression
  • Pandas: Importing CSV and Excel files, series, data frame, shaping, merging, and renaming, methods for data frames, graphing in pandas, API data importing
  • Visualization: Matplotlib, fig and ax, maps, images, sizing, color, styles, limits, log graphs
  • Advanced Topics: Neural networks, artificial intelligence, machine learning, and decision trees.