Learning Paths

What’s in Store?

Explore the Internet’s Secret Side: Uncover how data moves across the internet. Use real tools like Wireshark and CyberChef to inspect, encrypt, and protect information.
Break and Defend: Simulate cyberattacks like phishing, brute-force, and XSS—and then build defenses to stop them. Discover how hackers exploit code and how security experts patch it.
Capture the Flag (CTF) Challenge: Each month includes mini hacking challenges to apply what you’ve learned. The final capstone? A full cyber showdown where students solve encryption puzzles, crack hashes, and trace fake attacks.

No Previous Experience Needed

Whether you're a complete beginner or you’ve dabbled in coding before, this course is tailored to help you grow from the ground up. All you need is curiosity and a passion for technology—we'll handle the rest!

Class Schedule

Getting Started with Hacking & Code (4 Classes)

Introduction to cybersecurity and the CIA triad
Navigating the Linux terminal with basic shell commands
Hashing and cracking passwords using Python
Creating a two-factor authentication login simulation

Networking, Scanning & Digital Defense (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Understanding IP, DNS, and how the internet works
Sniffing real network traffic using Wireshark
Writing a basic port scanner in Python
Designing a secure network with firewalls and access control

Web Hacking & Malware Simulations (4 Classes)

Simulating malware behavior with Python
Exploiting and fixing XSS in a basic HTML form
Gathering public info with OSINT tools
Debugging insecure code in a secure coding challenge

Encryption, Forensics & Cyber Showdown (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Building ciphers and decryptors using Python and CyberChef
Analyzing fake logs to trace cyberattacks
Writing an incident response plan for a breach
Completing a final Capture the Flag hacking challenge

What’s in Store?

Jumpstart with Real Data: Begin analyzing real datasets from day one using Python.
Visualize Like a Pro: Create stunning charts with Matplotlib, Seaborn, and interactive dashboards in Tableau.
Learn Machine Learning: Build models for regression, classification, and clustering using real-world data.
Create a Capstone Project: Apply everything you've learned in a final project and build your data science portfolio.

No Previous Experience Needed

Class Schedule

Data Science Essentials (4 Classes)

Supervised Machine Learning (4 Classes)

Python for Data Analysis: Master foundational tools (Pandas & NumPy) for data cleaning, manipulation, and preparation.
Exploratory Data Analysis (EDA): Discover trends, patterns, and insights through powerful visualization (Matplotlib & Seaborn).
SQL & Database Integration: Learn essential SQL skills to fetch, query, and integrate data seamlessly into your Python workflows.
Data Storytelling & Visualization: Transform complex data into compelling stories with interactive dashboards using Tableau.

Supervised Machine Learning (4 Classes)

Regression Fundamentals: Predict continuous outcomes using Linear and Multiple Linear Regression models.
Classification Basics: Build intuitive models such as Logistic Regression and Decision Trees to classify data effectively.
Advanced Classification Techniques: Elevate your models with Random Forest, SVM, and Ensemble methods (XGBoost) to improve predictions.
Model Evaluation & Optimization: Learn essential strategies for evaluating model performance, hyperparameter tuning, and cross-validation.

Unsupervised Learning & Advanced Techniques (4 Classes)

Clustering & Segmentation: Apply clustering algorithms (K-Means, Hierarchical) to uncover hidden groupings in your data.
Dimensionality Reduction: Simplify complex datasets and visualize hidden patterns using Principal Component Analysis (PCA).
Intro to Natural Language Processing (NLP): Explore text data, sentiment analysis, and basic text classification methods.
Time-Series Analysis & Forecasting: Learn to analyze time-dependent data and predict future trends with forecasting methods like ARIMA.

Portfolio & Capstone Project (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Interactive Dashboards & Reporting: Polish your visual storytelling skills with professional Tableau dashboards and interactive reports.
Model Deployment Basics: Learn core concepts of deploying machine learning models into real-world applications and services.
Capstone Project Development: Plan, build, and refine a complete Data Science & ML project from scratch, integrating all learned skills.
Final Presentation & Showcase: Present your finished project, demonstrate your expertise, and showcase your professional portfolio.

Engaging courses that will feed your curiousity and prepare you for real-world jobs

For students of ages: 8-16.

Introduction to Ethical Hacking & Cybersecurity Course

What’s in Store?

No Previous Experience Needed

Class Schedule

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Networking, Scanning & Digital Defense (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Encryption, Forensics & Cyber Showdown (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Register Here for Ethical Hacking & Cybersecurity Course

COMING SOON: Introduction to Data Science and Machine Learning Course

What’s in Store?

No Previous Experience Needed

Class Schedule

Data Science Essentials (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Portfolio & Capstone Project (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Engaging courses that will feed your curiousity and prepare you for real-world jobs

For students of ages: 8-16.

Introduction to Ethical Hacking & Cybersecurity Course

What’s in Store?

No Previous Experience Needed

Class Schedule

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Networking, Scanning & Digital Defense (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Getting Started with Hacking & Code (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Encryption, Forensics & Cyber Showdown (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Web Hacking & Malware Simulations (4 Classes)

Register Here for Ethical Hacking & Cybersecurity Course

COMING SOON: Introduction to Data Science and Machine Learning Course

What’s in Store?

No Previous Experience Needed

Class Schedule

Data Science Essentials (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Supervised Machine Learning (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Portfolio & Capstone Project (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

Unsupervised Learning & Advanced Techniques (4 Classes)

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