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Python is an incredibly rewarding and versatile programming language, soaring in popularity across a multitude of fields! Whether it's data analysis, web development, machine learning, or beyond, Python stands as a pivotal skill in today's tech landscape.

Embrace the opportunity to become a Python pro with our exclusive Limited-Time Special Offer on "Python Mastery" learning path!

Master Python Programming Language Hands-on with This Bundle!

(Original Price: $199)
Limited-Time Offer Price: $39
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  • checkmark Access to 8 premium online courses on Python programming
  • checkmark 85+ hours of practical learning with 410+ premium lessons
  • checkmark A validation of course completion after completing each course
  • checkmark Year-long access to the courses
  • checkmark Access to content updates and support for 1 year
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Explore the Comprehensive
Course Syllabus Inside

01

Learn to Code with Python 3

Learn Python programming language from beginner to advance with this hands-on course.

  • Chapter 1: Introduction
  • Chapter 2: Python Programming Basics
  • Chapter 3: Functions – Coding Exercises
  • Chapter 4: Lists, Tuples, and Dictionaries
  • Chapter 5: Files in Python 3
  • Chapter 6: Error Handling
  • Chapter 7: Object Oriented Programming
  • Chapter 8: Date and Time
  • Chapter 9: Regular Expressions
  • Chapter 10: Interacting with HTTP
  • Chapter 11: Networking in Python 3
  • Chapter 12: Threading
  • Chapter 13: E-mails, PDFs, and Images
02

Master Math by Coding in Python

Learn algebra, calculus, graphing, trigonometry, and more math topics using Python.

  • Chapter 1: Introduction and Installations
  • Chapter 2: Arithmetic
  • Chapter 3: Introduction to Sympy and LaTeX
  • Chapter 4: Python Data Types
  • Chapter 5: Algebra 1
  • Chapter 6: Graphing and Visualization
  • Chapter 7: Algebra 2
  • Chapter 8: Graphing Conic Sections
  • Chapter 9: Trigonometry
  • Chapter 10: Art from Trigonometry
  • Chapter 11: Calculus
  • Chapter 12: Linear Algebra
  • Chapter 13: Probabilities and Histograms
  • Chapter 14: Number Theory
03

Applied Python for Professionals

Learn how to program with Python 3 with hands-on sessions.

  • Chapter 1: Introduction to Python and Setup
  • Chapter 2: Data Structures and Turtle Graphics
  • Chapter 3: NumPy and Visualization Basics
  • Chapter 4: SciPy
  • Chapter 5: Audio Processing, Image Processing, and Computer Vision
  • Chapter 6: Computer Vision with OpenCV
  • Chapter 7: 3D Visualization
04

Python and Flask Application Development

Learn to build web applications for a comprehensive range of real-world scenarios.

  • Chapter 1: Setting up Your Flask Environment
  • Chapter 2: Building a Flask Application
  • Chapter 3: Building a Flask Application 2
  • Chapter 4: Note Taking Application
  • Chapter 5: Build a News Scraping API
05

Network Automation with Python

Get started with network automation in the right way with this hands-on course.

  • Chapter 1: Revision Control Basics
  • Chapter 2: Editors and IDEs
  • Chapter 3: Python Basics
  • Chapter 4: Lab
  • Chapter 5: Inventory and Frameworks
  • Chapter 6: Credentials
  • Chapter 7: Parsing
  • Chapter 8: Connecting
  • Chapter 9: Configure
  • Chapter 10: Documentation
06

Data Analysis with Python Masterclass - Part 1

Learn how data analytics can help sort modern data problems, work with NumPy and Pandas, and data wrangling and data visualization.

  • Chapter 1: Introduction to the Course
  • Chapter 2: Setting up the Environment
  • Chapter 3: Introduction to NumPy
  • Chapter 4: Introduction to Pandas
  • Chapter 5: Data Wrangling and Visualisation
07

Data Analysis with Python Masterclass - Part 2

Build on your data analysis skills with real-world case studies and practical insights.

  • Chapter 1: Case Study 1: Data Understanding and Insights
  • Chapter 2: Case Study 2: Analysis to Aid a Business Objective
  • Chapter 3: Next Steps
08

Machine Learning with Python

Learn to build ML-based solutions using Python with this hands-on course.

  • Chapter 1: Introduction to Machine Learning
  • Chapter 2: Exploring Data Pre-processing
  • Chapter 3: Exploring Classification in Machine Learning
  • Chapter 4: Exploring Regression in Machine Learning
  • Chapter 5: Explore How to Fine-tune Models in Machine Learning
  • Chapter 6: Understand the Deployment of Machine Learning Models
  • Chapter 7: Introducing Deep Learning
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Here's What You'll Learn

Introduction to Python and setup

Introduction to Python and setup

How to create and execute Python scripts to gather information from network devices

How to create and execute Python scripts to gather information from network devices

Python programming basics

Python programming basics

How does data analytics help in sorting modern data problems

How does data analytics help in sorting modern data problems

Functions with coding exercises

Functions with coding exercises

Data wrangling and visualization techniques with coding exercises

Data wrangling and visualization techniques with coding exercises

Algebra (1, 2), Trigonometry

Algebra (1, 2), Trigonometry

The art of performing data analysis with the DA framework

The art of performing data analysis with the DA framework

Integrating Python, Markdown, and LaTeX

Integrating Python, Markdown, and LaTeX

How to build, train, and evaluate ML models using the Python Scikit-learn library

How to build, train, and evaluate ML models using the Python Scikit-learn library

Python 3 Programming - history and setup

Python 3 Programming - history and setup

Basics Variables and Data Types

Basics Variables and Data Types

Jupyter Notebook and how to code with it

Jupyter Notebook and how to code with it

Complete String Operations

Complete String Operations

NumPy and Visualization

NumPy and Visualization

Machine learning core concepts

Machine learning core concepts

How to build Flask application in Python

How to build Flask application in Python

End-to-end machine learning workflow

End-to-end machine learning workflow

Revision Control, including Git and GitHub Basics

Revision Control, including Git and GitHub Basics

Python “at speed” refresher

Python “at speed” refresher

Regular Expressions and Parsing output from network devices

Regular Expressions and Parsing output from network devices

... and much more

... and much more

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Show Off Your Skills with a Validation of Course Completion

After completing this Learning Path, you’ll be awarded a validation of course completion from CodeRed. Share your certificate with potential employers and your community to showcase your skills and gain a competitive edge.

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Simple & Flexible Return Policy

Your satisfaction is our highest priority! Let us show you how committed we are to excellence in both our course content and your learning experience.    

Have a problem? We'll find a solution.    

Want your money back? We'll initiate a full refund immediately.

Email us anytime within 7 days of purchase, and we’ll assist you—no “ifs,” “buts,” or “conditions apply.”  

So go ahead and buy this exclusive offer now—there's absolutely no risk!

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Don't Just Take Our Word for It!

Our learners can vouch for the superior quality of our courses and platform. Here’s what they’re saying. 

"This course gave me a better understanding of the tools used in data analysis and how to use them."

- Brandon F.

"This course is beneficial and another step towards my career advancement."

- Tim T.

"The course covered a wide area and various topics relative to my job role."

- Adrian A.

"This course covers an excellent introduction to specific topics about Python."

- Felipe C.

"This course helped me better understand Python and useful tools."

- Rafael R.

"The concepts in pandas and NumPy in this course really got me enthralled."

- Kang Modest E.

Frequently Asked Questions

A learning path is a selection of premium courses catered to a specific role/interest that will help you get your career to the next level.

Your access to the learning path lasts for one year, which means you will have access to your courses (including all updates) for an entire year before your access expires.

All our courses come with the validation of course completion as you complete the course and pass the final exam (if applicable). You will then be able to share this on your social media with your peers and future employers.

Yes! Upon successful completion of a learning path, you will receive a validation of course completion, validating your acquired skills. However, certifications are exclusively granted after passing a proctored exam, demonstrating to employers that you possess the qualifications for the job and are earnestly committed to proving your expertise.

No, you need not pay any additional costs! When you buy a learning path, you’ll get access to the complete course content and can earn a Certificate of Achievement from CodeRed by successfully completing the assignments in each course.

These courses are self-paced, so you can learn new skills at your own pace. You will have access to the course content for an entire year.

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