Live Online Python Summer Course for High School Students

This course will cover the fundamentals of Python programming and its applications in data science and machine learning. Students will get up and running in Python quickly and be ready to use Python for data analysis projects.

Python is the leading language used by programmers today! It is the ideal language for beginners because it's both powerful and easy to learn.

In the first half of this hands-on Python course, you will begin by learning the fundamentals of Python code and then transition into more complicated programming tasks. The second half of the course focuses primarily on data science using Pandas, Matplotlib, and Sci-Kit learn. These packages will teach you how to input, analyze, and graph data.

Class Notes

Schedule: Every weekday from 10 am — 1 pm for three weeks
Method of Delivery: Live Online (live-streamed with the ability to ask questions and interact with the instructor in real-time).
Prerequisites & Ages: The program is ideal for high school and college students with a strong interest in coding. Prior coding/programming experience is not required, but students must be comfortable with computer basics.
Computer: Live online attendees should have their own Mac or PC. We will assist with any software setup prior to the course.

Take this class as part of a certificate program and save:

Computer Science Summer Certificate Live Online

Learn the Skills Guarantee™

Get personalized attention in small groups
Work on real-world exercises & projects
Learn from industry experts with real-world experience
We supply computers in class, no need to bring your own

Became proficient in Java programming and computer science topics and knew nothing before. Would recommend!
—Zachary Waxman

What You’ll Learn

Programming fundamentals in Python
How to write conditional statements in Python
Input data using the Pandas package
Clean and wrangle data
Visualize and understand complex data
Use machine learning algorithms

Learn with Hands-on Projects

Learn practical skills by working on real projects with instructor guidance and lectures to strengthen and improve your skill.

Course Syllabus

Download Syllabus PDF

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

Data Types
Operators
Expression
Indexing & Slicing
Strings
Conditionals
Functions
Control Flow
Nested Loops
Sets & Dictionaries

Data Science Fundementals

Import Data
Functions
Basic Data Tool

Advanced Python Fundementals

Lists
Mutating Operations
Tuples, Sets, Dictionaries
Loops
Control Flow
List Comprehension
Error Handeling

Day 4-5

Processing

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
Universal Functions
Concatenating, Indexing, Slicing
Arithmetic & Boolean Operations

Day 9-10

Python Data Analysis:Pandas 1

Data Series
Data Frames
Import CSV & Excel Files
Organize Data Frames
Data Manipulation
Descriptive Statstics

Advanced Python

File Input
User Input
List Comprehension
Packages

Data Analysis

Cleaning Data
Filtering Data
Advanced Grouping
Pivot Tables

Data Visualization

Plotting with Matplotlib
Scatter Plots
Histograms & Bar Plots
Custom Visualizations

Day 11-15

Basic Regression Analysis

Linear Regression
Mean squared error
Training set vs Test set
Cross validation

Advanced Regression Analysis

Multi-linear regression
Feature engineering
Overfitting

Classification

Logistic Regression

Regression vs Classification
Logistic Regression
Sigmoid function

K-nearest Neighbors

K-nearest neighbors
Model-based vs memory-based
Parametric vs non-parametric
Evaluating performance

Final Project

Details

Curate Data
Import, Clean, and Merge Data
Analyze Data
Visualize Data
Present Results

Schedule & Enrollment: Python Data Science Summer Course Live Online

$1,999
45 Hours
Live Online
Work on real-world projects
Expert instructors
Small classes

Policies

Not currently scheduled.

Email hello@nextgenbootcamp.com to request this course, or see related courses with upcoming availability

See related courses

This Course is Available Live Online

Live Online

Live online training happens through Zoom during the same time as the in-person class and gets you the same interactivity and access to the instructor as in-person students. There are no extra fees and we’ll work with you to ensure your remote setup is perfect.

Classes are activity-based and taught in real-time by an experienced instructor.
You can hear the instruction, ask questions, and share your screen—all in real-time.
Retake the course for free (in-person or live online) within one year.

Online Training Demo

1-Minute Overview

Testimonials for Live Online Training

“Overall experience on Zoom was maybe even better than in IRL classroom because the instruction takes place right on your own screen, with less distraction. Great overall experience.”
“Given the fact that we had to do this entire class remotely due to Covid-19, I didn’t have very high expectations it would run so smoothly. However, I don’t think it could’ve gone any better. Not only do I feel very comfortable with the program now, but I’m actually excited to use it!”
“This was the first online class I’ve taken with ND and it was a great experience. Looking forward to the other classes I’ve signed up for!”

More about live online training

Frequently Asked Questions

Does this course require any prior knowledge or experience?

Students must be comfortable using a computer. No other prior knowledge is required.
Do you offer any discounts for this course?
Discounts

We don’t currently offer discounts as we do our best to affordably prices our courses.

Take this course as part of a certificate program and save:
- Python for Data Science Summer Certificate
  
  Price: $2,495 | Hours: 75 Hours
- Computer Science Summer Certificate Live Online
  
  Price: $3,695 | Hours: 95 Hours
- FinTech Summer Program Live Online
  
  Price: $3,495 | Hours: 72 Hours
Are there any additional fees or expenses?

There are no extra fees or taxes for our courses. The price you see on this page is the maximum you’ll pay us.

However, if you plan to take the course live online, you may need to obtain required software. We’ll help you get set up with a free trial of paid software prior to the class. Most of our coding classes utilize freely-available open-source software. For most of our design and motion graphics courses, we will help you get set up with a free trial of Adobe Creative Cloud. If you attend the course in-person, we will have a computer already set up for you with all of the required software for no additional cost.
Do you offer payment plans or student financing for this course?

This course does not qualify for payments plans or student financing. See our Payment Plan FAQ to find related programs that qualify.
Can I take this course online (remote learning)?
You may attend this training virtually (online) at the scheduled time the course is offered (New York, Eastern Time).

How does attending “live online” work?
- Students can attend this training remotely through screen sharing software (we use Zoom).
- Participants can hear the instruction, ask questions, and even share their screen with the instructor.
- For audio you can use your computer’s microphone/speakers or call a phone number that we’ll provide.
- Classes are activity-based and taught by a live instructor, so we strongly encourage students who are local to the area to attend in person!
- You will need your own computer and copy of any required software. If you don’t have the software, you can usually do a free trial or purchase your own license. If you need assistance, contact us at hello@nextgenbootcamp.com

Corporate & Onsite Training

Purchase group class vouchers at a discount for our regularly-scheduled group classes, or create a custom training program at your offices.

Private Training

Available onsite at your location
Modern computer labs available at our offices
Customize or choose from our existing courses
Free instructor consultations to finalize content

Group Class Vouchers

Send employees to our group classes
Extensive offerings and flexible scheduling
Simple billing and logistics
Computers and training resources provided

Spend your Summer Coding Python

Gain valuable programming experience and data science know-how in our python summer camp! Programming skills will help you maximize your performance in high school and college; in this course, you'll boost your college application, master computational thinking within real-world situations, prepare yourself for any computer science class in your future, and have fun all at the same time!

Highly Reviewed by Our Alumni

From our hands-on training style to world-class instructors and proprietary curriculum, we deliver a learning experience our alumni can be proud of.

2 Students Rated Our Python Data Science Summer Course Live Online 5 Stars

Excellent class that immerses me in a deep and valuable understand of Python and data science!

Erik

The methods of teaching were very helpful and I learned a lot from this class.

Joshua Smith

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 one of the top ten coding languages in the world. Python is used to build software programs, web applications, online tools, and games. You can also 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 Perl. 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 covers the fundamentals of Python. Students will explore how to write a program, learn how to think like a programmer and understand how to structure and develop their code. This course will teach students fundamental computational thinking processes that are universal amongst all coding languages.

The second half of the course delves into data science using Python. Data science is a combination of mathematics, statistics, and computer science, making it an excellent companion for the computation-based Python language. 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 remarkably efficient. Python can achieve with 100 lines of code what Java or C++ can do in 500 lines.

Extensive Libraries: Another major benefit 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 useable 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 are using Python as their preferred language. This massive adoption of Python by programmers is a testament to its impressive strength and speed. It has also led to an extraordinarily valuable social network of Python developers; from searching for debugging solutions on Stack Overflow or Github to finding a job in a new city, the Python social network reigns supreme.

Who should attend our Python Summer courses?

Our python course is designed primarily for high school students but college students are welcomed as well! There is no math or coding pre-requisite for this course.

This course is a great introduction to the world of programming and computer science. Anyone who is interested in business, technology, entrepreneurship, journalism, and many other different jobs would benefit from the skills and concepts taught in this class. Python is an incredible language to learn because it is being used by so many different types of working professionals today, from programmers to academics to financiers.

Python Course Detailed Overview

Overview of Coding & Programming: Learn how the Python language works, in addition to basic computer organization and architecture.
Introduction to Programming: Learn Python basics, syntax, dynamic language, write your first program, learn how to compile and run programs in the terminal commands, and learn how to use Sublime Text.
Variables, Data Types, and Operators: Learn how to assign and declare variables, explore 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.
Pandas: Importing CSV and Excel files, series, data frame, shaping, merging, and renaming, grouping, manipulation, real-time data integration
Visualization: Matplotlib, Seaborn, scatter plots, histograms, fig and ax, maps, images
Advanced Topics: Artificial intelligence, machine learning