Sky States LLC: Technology Programs, Open Curriculum & Student Reviews Hub

The Data Science & AI Program focuses on end-to-end data lifecycle engineering:

• Data Extraction & Manipulation: Advanced SQL query optimization, database schemas, and Python libraries (pandas, numpy).
• Exploratory Data Analysis & Visualization: Interactive visual pipelines via matplotlib, seaborn, and Power BI enterprise reporting.
• Predictive Modeling & Scikit-Learn: Regression pipelines, decision trees, random forests, and gradient boosting algorithms.
• Deep Learning & GenAI: PyTorch/TensorFlow fundamentals, neural networks, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) pipelines.
• Cloud Certification Alignment: Prepares candidates for Microsoft DP-900 and DP-100 competencies.

# Data Science Lab: Production Feature Pipeline & Churn Classifier
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

def train_churn_pipeline(dataset_path):
    df = pd.read_csv(dataset_path)
    X = df.drop(columns=['churn', 'customer_id'])
    y = df['churn']
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
    model = RandomForestClassifier(n_estimators=100, max_depth=8)
    model.fit(X_train, y_train)
    return model.score(X_test, y_test)

Focuses on operational security operations (SOC) and proactive defense:

• Network & Endpoint Analysis: Wireshark traffic inspection, packet capture analysis, and firewall configuration.
• Security Operations: SIEM log management, threat hunting, and incident response frameworks.
• Zero Trust Security: Role-based access control (RBAC), identity governance, and credential hardening.
• Standards Alignment: Prepares learners for CompTIA Security+ and Microsoft SC-900.

Emphasizes modern automation, infrastructure reliability, and cloud architecture:

• Containerization: Docker multi-stage builds, container isolation, and microservices design.
• Orchestration: Kubernetes architecture (Pods, Deployments, Ingress controllers, and persistent volumes).
• CI/CD Automation: Jenkins pipeline-as-code, GitHub Actions automated test suites, and Terraform Infrastructure as Code (IaC).
• Cloud Infrastructure: AWS and Azure administration, aligning with Microsoft AZ-900.

# DevOps Lab: Automated Multi-Stage Dockerfile for Microservices
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

FROM nginx:alpine
COPY --from=builder /app/dist /usr/share/nginx/html
EXPOSE 80
CMD ["nginx", "-g", "daemon off;"]