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Python Data Science & AI Machine Learning Live Online

Hands-on Training from Experts Live Online

In this live online summer program for high school students, you'll learn Python for data science and machine learning.

All sessions are full. Contact us to be added to the waiting list.

  • Work on real-world projects
  • Expert instructors
  • Small classes

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

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

Highly Reviewed by Our Alumni

From our hands-on training style to world-class instructors and custom-crafted curriculum, we deliver results our alumni are proud of.

Python Data Science & AI Machine Learning Live Online is rated 4.8 stars

in the past 24 months

I learned so much about Python and coding from this camp! This was definitely an amazing experience!

De-An Chen

This class was very informative and fun, and I learned a lot about data science and machine learning.

Rishi Muniganti

Informative and helpful. Mr. McClain ensured that all lessons were covered thoroughly.

Ross Richie

It was an amazing dive into Python and the world of coding.

Santiago Perez

I think this Python class was really good, for either a refresher in Python or just coming into coding knowing little to nothing. Everything was fairly well explained, and I enjoyed it.

Oliver Hatta Jones

This was my first time coding, and I felt fully immersed in this bootcamp. I feel like I've covered all of the basics, and it has prepared me to progress much more on my own now.

Zsuzsanna Moore

Python is definitely something I will look into more, and I am glad I took this course.

Rishabh Muniganti

I would recommend this course to anyone interested in code!

Arsylan Ahmed

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

It's a great class for coding beginners who want to learn the basics of Python.

Roland Shen

We covered something new every day, which made me feel that I was exploring a lot about Python.

Shane L.

This course was informative and a good way to start learning Python.

Jonah S.

As someone completely new to the world of computer science, this course has laid out an easy-to-follow path for me while also allowing me to learn so much in just 15 days.

Saif AlHammadi

Great course, you learn a lot in a short time. The instructor was good at explaining how different things in Python work and answered questions well.

Nieves Vivar

An amazing class.

Sam Wohl

The Python Summer Bootcamp was a very informative and fun course with a great instructor who was helpful and kept the class engaging with different coding exercises.

Tara Fak

The class was very hands-on and I had a great time learning about Python while coding along with the class.

William Liu

This class really helped to improve my programming skills and knowledge! It covers a good span of topics ranging from vanilla Python programming to machine learning.

Ivan Rivera

I really enjoyed taking the class. I felt enthusiastic about waking up in the morning looking forward to what I would learn that day.

Pranai Chandolu

Under the guidance of the expert instructor, I embarked on a captivating journey through the world of Python and data science. His deep knowledge, passion, and dedication to teaching were truly inspiring. He had a remarkable ability to explain complex concepts in a clear and understandable manner, making even the most challenging topics accessible.

Alexandros Leontaridis

NextGen Bootcamp ran an incredible class. Their instructors taught me so much such as the basics of Python coding and creating graphs, as well as beginner AI and machine learning concepts.

Yogith Kishore

I enjoyed this course and I think it was a really good introduction to Python. I also liked how we were able to work with different sets of data.

Jennifer D.

This is one of the best programs out there. The instructors are amazing. They go in-depth into each course while helping beginners understand the core basics and topics in the course. They break down complex topics, which beginners and even more experienced people benefit from. I 100% recommend a course through this program if you want to do something they offer. Thank you so MUCH, NextGen Bootcamp and Noble Desktop!

Jeffrey Paul Johnson

Schedule & Enrollment: Python Data Science & AI Machine Learning Live Online

  • 45 Hours
  • $2,199 $1,999 Early bird discount applied
  • Live Online
  • Work on real-world projects
  • Expert instructors
  • Small classes

Not currently scheduled.

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

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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
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