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4-Month Internship

Data Science & Machine Learning

Discover how our 4-month program equips you with essential data science and software development expertise for real-world success.
Data Science & Machine Learning
Duration—
Curriculum5 modules
Starts—
1

Comprehensive Curriculum

Structured modules covering foundational concepts in data science, machine learning, and software project management.

2

Hands-On Project Experience

Engage in real-world projects that let you apply learned techniques and develop practical problem-solving abilities.

3

Career Preparation Support

Receive guidance on resume building, interview preparation, and job placement to launch your career.

Month 1: Foundations (Python + Data Basics)

Goal: Build strong fundamentals.

  • Python basics (variables, loops, functions)
  • NumPy & Pandas (data handling)
  • Data cleaning & preprocessing
  • Basic statistics (mean, median, std, probability)
  • Data visualization (Matplotlib, Seaborn)

Hands-on: Clean a messy dataset, build charts, mini project — Sales Data Analysis Dashboard.

Month 2: Data Analysis & SQL

Goal: Work with real-world data.

  • Advanced Pandas
  • SQL (SELECT, JOIN, GROUP BY)
  • Exploratory data analysis (EDA)
  • Business insights & reporting
  • Excel for data analysis

Hands-on: Analyze a customer dataset, write SQL queries on a real DB, mini project — Customer Behavior Analysis.

Month 3: Machine Learning Core

Goal: Build ML models.

  • ML basics (supervised vs. unsupervised)
  • Regression (linear, logistic)
  • Classification (KNN, decision tree)
  • Model evaluation (accuracy, precision, recall)
  • Feature engineering

Hands-on: Build prediction models with train/test split and cross-validation, mini project — House Price Prediction / Spam Detection.

Month 4: Advanced + Deployment

Goal: Real-world project + job readiness.

  • Advanced models (Random Forest, XGBoost basics)
  • Intro to deep learning (optional)
  • Model deployment (Streamlit / Flask)
  • Git & GitHub portfolio building
  • CV + interview preparation

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

Ready to start this internship?

Reach out and our team will walk you through enrollment, schedules and next steps.

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