Gain Industry-Ready Skills with Our Internship
Discover how our 4-month program equips you with essential data science and software development expertise for real-world success.
Comprehensive Curriculum
Structured modules covering foundational concepts in data science, machine learning, and software project management to build strong technical skills.
Hands-On Project Experience
Engage in real-world projects that allow you to apply learned techniques and develop practical problem-solving abilities.
Career Preparation Support
Receive guidance on resume building, interview preparation, and job placement to confidently launch your professional career.
📊 4-Month Internship Curriculum (Data Science & Machine Learning)
🗓️ Month 1: Foundations (Python + Data Basics)
🎯 Goal: Build strong fundamentalsTopics:
- Python Basics (Variables, Loops, Functions)
- NumPy & Pandas (Data Handling)
- Data Cleaning & Preprocessing
- Basic Statistics (Mean, Median, Std, Probability)
- Data Visualization (Matplotlib, Seaborn)
Hands-on Tasks:
- Clean a messy dataset (CSV/Excel)
- Create charts (bar, line, pie)
- Mini Project: Sales Data Analysis Dashboard
🗓️ Month 2: Data Analysis & SQL
🎯 Goal: Work with real-world data
Topics:
- Advanced Pandas
- SQL (SELECT, JOIN, GROUP BY)
- Exploratory Data Analysis (EDA)
- Business Insights & Reporting
- Excel for Data Analysis
Hands-on Tasks:
- Analyze customer dataset
- Write SQL queries on real DB
- Mini Project: Customer Behavior Analysis
🗓️ Month 3: Machine Learning Core
🎯 Goal: Build ML models
Topics:
- ML Basics (Supervised vs Unsupervised)
- Regression (Linear, Logistic)
- Classification (KNN, Decision Tree)
- Model Evaluation (Accuracy, Precision, Recall)
- Feature Engineering
Hands-on Tasks:
- Build prediction models
- Train/test split, cross-validation
- Mini Project: House Price Prediction / Spam Detection
🗓️ Month 4: Advanced + Deployment
🎯 Goal: Real-world project + job readiness
Topics:
- Advanced Models (Random Forest, XGBoost basics)
- Intro to Deep Learning (optional)
- Model Deployment (Streamlit / Flask)
- Git & GitHub (Portfolio building)
- CV + Interview Preparation
Hands-on Tasks:
- Final Project (End-to-End)
- Deploy ML app (web-based)
- Create GitHub portfolio
Final Project Ideas:
- Sales Forecasting System
- Movie Recommendation System
- Fraud Detection Model
🎓 Internship Outcome
✅ Real-world project experience
✅ Portfolio (GitHub + Live Project)
✅ Industry-ready skills
✅ Certificate + Job Placement Support
Launch Your Data Science Career Now
Join our immersive internship to gain practical skills, build impactful projects, and prepare for a thriving career in data science and software development. Enroll today to transform your future.