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Courses

Explore our extensive collection of courses designed to help you master various subjects and skills. Whether you're a beginner or an advanced learner, there's something here for everyone.

Coding Bootcamp

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Join us for our free workshops, webinars, and other events to learn more about our programs and get started on your journey to becoming a developer.

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Learning library

For all the self-taught geeks out there, here is our content library with most of the learning materials we have produced throughout the years.


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Lesson

The following lessons explain different programming concepts and have been published by our members. Search for a particular lesson using the filters

  • Python

  • Numpy

  • Calculus

Calculus Derivatives with python

Master the basics of derivatives in our “Introduction to Derivatives” article! Learn how to calculate and visualize derivatives with Python - find out now!

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  • Python

  • Numpy

  • Machine Learning

Hypothesis Testing

Master hypothesis testing in statistics! Learn how to define, test, and analyze hypotheses with practical examples. Discover the power of data today!

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  • Logical Operators

  • Conditions

  • Python

Introduction to Python

Learn the basics of Python syntax, loops, and conditionals. Discover how to kickstart your coding journey with this engaging introduction!

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  • Javascript

  • Python

  • Node

Variable Naming Conventions

Master variable naming conventions to boost code readability! Learn essential tips on camelCase, snake_case, and more for better coding practices.

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  • Job Interview

Interview Preparation

Learn how to crush your next interviews, respond questions and land a job in tech.

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  • Python

  • Beautiful Soup

Web Scraping With Beautiful Soup

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  • web-development

  • debugging

What is debugging and how to debug code

Learn what is and how to debug code faster and more efficiently. Techniques that can save you up to 50% of your debugging time.

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  • Probability and Statistics

Binomial Distribution With Python

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  • Python

  • Probability and Statistics

Descriptive Statistics

Master descriptive statistics in Python! Learn key concepts like measures of central tendency (mean, median, mode), dispersion (range, variance, standard deviation), and data visualization techniques. Gain hands-on experience analyzing data and making informed decisions.

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  • Python

  • Numpy

  • Machine Learning

Random Variables

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  • coding standard guidelines

General Coding Standards and Guidelines

The project assignments are an important part of our learning method, this lessons will show you what to expect and why the matter so much.

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  • Python

  • Machine Learning

Boosting Algorithms

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  • HTML and CSS

  • web-development

  • debugging

Debugging CSS Code

Debugging css code faster and more efficiently. Save more than 50% of your debugging time when coding CSS.

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  • Agile Development

  • security-testing

Bug and issue tracking best practices

Master bug and issue tracking best practices! Learn essential testing types and strategies to ensure a reliable application. Discover more now!

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  • Python

  • Data Structures

  • Machine Learning

Algorithms and Data Structures Optimization

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  • Calculus

Integrals and Derivatives

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  • Javascript

  • PHP

  • Python

The Snake Case Variable Naming Convention

Learn the Snake Case variable naming convention for better readability in programming. Discover essential rules and best practices now!

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  • git

  • coding standard guidelines

What is code readability and how to improve it

Discover the importance of code readability and learn essential tips to improve it. Master clean coding practices for better maintainability and fewer errors!

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  • Python

  • Machine Learning

  • Pandas

Intro to Matplotlib

Discover the power of Matplotlib! Learn to create stunning visualizations with Python's most popular library. Start your data journey today!

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  • HTML and CSS

  • web-development

  • debugging

Debugging HTML Code

Debugging code faster and more efficiently. Save more than 50% of your debugging time when coding HTML.

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