What will you learn in Data Science and Machine Learning Internship Program
Python & data analysis fundamentals: Master Python essentials, NumPy, Pandas, data visualization, probability, and statistics.
SQL & database management: Learn Microsoft SQL Server essentials including T‑SQL queries, stored procedures, concurrency, and relational database fundamentals.
Machine learning & model building: Explore supervised/unsupervised learning, regression, classification, time series, recommendation systems, and model tuning.
Deep learning & NLP: Understand CNNs, RNNs, LSTMs, NLP pipelines, sentiment analysis, and build visualizations with Tableau.
Capstone & real-world projects: Build end‑to‑end projects such as movie recommenders, travel aggregators, heart‑disease predictors, HR systems, and Tableau dashboards.
Program Overview
⏳ Duration: Live instructor‑led over 4 months (~96 hrs)
Module 1: Python for Data Science
Topics: Python basics, NumPy, Pandas, data visualization, web scraping, probability/statistics, EDA.
Hands-on: Travel aggregator build + quizzes.
Module 2: Database Management
Topics: SQL basics, built‑in functions, T‑SQL, stored procedures, concurrency, interview prep.
Hands-on: HR management system project.
Module 3: Machine Learning
Topics: Supervised/unsupervised learning, recommendation engines, regression, classification, time series, evaluation metrics, hyperparameter tuning.
Hands-on: Heart disease prediction model.
Module 4: Deep Learning & Tableau
Topics: CNN, RNN, LSTM architectures, NLP preprocessing and modeling, Tableau dashboards.
Hands-on: DL model and visual analytics project.
Capstone Project
Project: Build a full end-to-end model (e.g., Netflix-style recommender) integrating data collection, modeling, evaluation, and visualization.
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Job Outlook
Career-ready roles: Prepares for roles like Data Scientist, Data Analyst, ML Engineer across industries.
Market-demand alignment: India expected to add 3M+ data roles by 2026—avg. pay ₹8 LPA, up to ₹30 LPA.
Certification & support: Live sessions, capstone, “Super Intern” recognition, and internship certificate available.
Portfolio advantage: Rich project portfolio helps for interviews and job placement.
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Specification: Data Science and Machine Learning Internship Program Course
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