Python Programming Bootcamp
via Noble Desktop
Affiliated with Course Report
Learn how to write and organize Python programs in Noble Desktop's programming bootcamp. The course covers core language concepts and programming techniques, giving you practice with the logic behind reusable code. Its emphasis is the programming foundation itself, which can support later work in automation, web applications, or data analysis.
What's included with live classes
- Free course retake within one year to refresh the material and gain practice.
- Class recordings
Overview
If you’re new to programming and ready to immerse yourself, this is the course for you. We’ll cover built-in data types and their behavior, and control flow statements, the programming essentials that are used across many programming languages. You’ll also learn how to professionally structure your programs and solve real-world challenges using object-oriented programming.
In addition to covering these core programming concepts, we’ll discuss the most common coding interview questions and demonstrate industry-standard programming practices. You’ll practice these new skills by working on programming exercises with instructor guidance. By the end of this course, you’ll have a portfolio of projects and code samples on GitHub to show to employers.
Topics included
Schedule & enrollment
Find dates that fit your schedule, then book on Noble Desktop.
- Live tuition
- $1,495
- Course length
- 30 hours
All class times are Eastern (ET).
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Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
-
Dates
–
Class time
Starts at 10am ET
Final session ends at 5pm ET
Attend
In-person or live online
Confirm current dates and availability on Noble Desktop before booking. Enrollment opens in a new tab.
Self-paced tuition & enrollment
Learn through recorded lessons on your own schedule.
- Tuition
- $1,495
- Course length
- 30 hours
- Format
- Self-paced online
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
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Prefer to enroll directly? Open the course website.
Curriculum
What you'll learn
- Gain a foundational understanding of the Python programming language
- Become a proficient Python programmer by learning from experienced mentors
- Learn how to search and navigate technical documentation, and efficiently handle errors and exceptions
- Get comfortable developing Python programs on your own through a series of coding exercises
- Become familiar with industry standards and learn the best practices for writing code
- Master your programming skills by working on real-world projects—perfect for resume building
- Create two projects to showcase in your coding portfolio
Course syllabus
Python software environment
- Terminal commands
- Jupyter Notebook
- Variables
- Built-in functions in Python
- Data types: strings, integers, floats, lists
- Definite loops: For loops
- Practical Exercises
Logical programming
- Creating functions in Python
- The behavior of data structures
- Data types: tuples
- If, Elif, Else statements
- Indefinite loops: While loops
- Indexing and slicing
- Practical Exercises
Python built in programming
- Data types: dictionaries
- Reading from a text file
- Writing to a text file
- Appending to a text file
- Analyzing a text file’s content
- Practical Exercises
Computer science fundamentals
- Big-O notation
- Binary search
- Bubble Sort
- Insertion sort
- How to write efficient code
- Practical Exercises
Application development - Project based assessment
- Review and Q&A
- Intro to Object Oriented Programming
- Working on a project
- Git and GitHub
Self-paced course
Learn through recorded lessons on your own schedule.
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
View self-paced tuition & enrollmentIf you’re new to programming and ready to dive in, this self-paced course is designed to help you build skills step by step on your own schedule. You’ll learn core programming concepts like built-in data types, how they behave, and control flow statements that are common across many programming languages. The course also covers how to structure programs professionally, apply object-oriented programming to real-world problems, review common coding interview questions, and follow industry-standard best practices.
Throughout the course, you’ll practice what you learn through guided programming exercises that reinforce each concept. By the end, you’ll have a portfolio of projects and code samples published on GitHub, giving you concrete work to share with employers and a strong foundation to continue growing as a programmer.
Self-paced curriculum
What you'll learn self-paced
- Build a strong foundation in the Python programming language
- Develop proficiency with guidance from experienced mentors
- Learn how to navigate technical documentation and handle errors and exceptions effectively
- Gain confidence writing Python programs independently through hands-on coding exercises
- Understand industry standards and best practices for clean, maintainable code
- Strengthen your skills by working on real-world projects ideal for resume building
- Create two finished projects to feature in your coding portfolio
Self-paced syllabus
Python software environment
- Terminal commands
- Jupyter Notebook
- Variables
- Built-in functions in Python
- Data types: strings, integers, floats, lists
- Definite loops: For loops
- Practical Exercises
Logical programming
- Creating functions in Python
- The behavior of data structures
- Data types: tuples
- If, Elif, Else statements
- Indefinite loops: While loops
- Indexing and slicing
- Practical Exercises
Python built in programming
- Data types: dictionaries
- Reading from a text file
- Writing to a text file
- Appending to a text file
- Analyzing a text file’s content
- Practical Exercises
Computer science fundamentals
- Big-O notation
- Binary search
- Bubble Sort
- Insertion sort
- How to write efficient code
- Practical Exercises
Application development - Project based assessment
- Review and Q&A
- Intro to Object Oriented Programming
- Working on a project
- Git and GitHub
Course Reviews
Is this course right for you?
Choose this course for a general Python programming foundation. If your reason for learning Python is specifically working with datasets, compare Python for Data Science, where programming concepts are introduced alongside pandas and analytical tasks.