Data Science Internship

    Apply statistics, machine learning, and data visualization to extract insights and build predictive models.

    1 Month - 3 MonthsIntermediate4 Projects

    Internship Overview

    Duration1 Month - 3 Months
    LevelIntermediate
    PrerequisitesPython programming and statistics basics
    Deliverables4 hands-on projects
    CertificateIndustry Recognized

    Downloadable Guides

    Get the official task guide and submission instructions for this internship.

    Choose your projects

    Pick any 2, 3 or 4 of these real-world projects for a 1, 2 or 3-month internship. Open a project to see the full brief.

    1. 1

      A/B Testing & Experiment Analysis Platform

      Design and analyze an A/B test end to end, from experiment design through statistical decision.

    2. 2

      Customer Lifetime Value & Cohort Modeling

      Build a statistical model estimating customer lifetime value and analyze how it varies across acquisition cohorts.

    3. 3

      Survey Data Analysis & Statistical Inference

      Analyze a real survey dataset to draw statistically defensible conclusions about the surveyed population.

    4. 4

      Statistical Health Risk Scoring

      Build a statistically grounded risk-scoring model (not a black-box ML model) for a health or insurance-style dataset.

    5. 5

      Market Basket & Association Rule Mining

      Analyze transactional data to discover statistically meaningful product associations.

    6. 6

      Time Series Decomposition & Anomaly Detection

      Decompose a real time series into trend, seasonality and residual, and statistically flag anomalies.

    Your internship journey

    From enrollment to certificate, in 6 steps

    Everything happens online, in your InternStudio dashboard.

    1 month → 2 projects2 months → 3 projects3 months → 4 projects
    1. Step 1

      Enroll & pay

      Fill in your details and pay securely with Razorpay. Your internship starts the same day.

    2. Step 2

      Download your joining letter

      Instantly available in your dashboard under Certificates & letters — with a QR code anyone can verify.

    3. Step 3

      Pick & build your projects

      Choose any 2, 3 or 4 real-world projects from your domain's list and build them.

    4. Step 4

      Submit each project

      From My Internships, submit your project link (GitHub, Figma or Drive — public) and a LinkedIn post explaining it, before your end date.

    5. Step 5

      Get reviewed

      Our team approves each project or asks for changes with feedback — just update and resubmit.

    6. Step 6

      Earn your certificate

      Once your projects are approved, your Certificate of Internship Completion is issued — download it from your end date and share its verification link.

    Keep your repositories public Tag InternStudio in your post

    What You'll Learn

    Python (Pandas, NumPy, Scikit-learn)
    Statistics & Probability
    Data Visualization
    Machine Learning Basics
    Data Cleaning & Wrangling
    SQL
    Storytelling with Data

    Tools You'll Master

    Python
    Jupyter Notebook
    Pandas/NumPy
    Matplotlib/Seaborn
    Scikit-learn
    SQL

    Curated Free Learning Resources

    Recommended courses, docs, and tutorials to guide you through your tasks.

    Python for Data Science

    IBM (Coursera) • Course

    Kaggle Learn

    Kaggle • Interactive Course

    Data Science Specialization

    Johns Hopkins (Coursera) • Specialization

    Pandas Documentation

    Pandas • Documentation

    Statistics and Probability

    Khan Academy • Course

    Scikit-learn User Guide

    Scikit-learn Documentation • Documentation

    DataCamp Free Courses

    DataCamp • Course

    Seaborn Documentation

    Seaborn • Documentation

    Applied Data Science with Python

    Coursera (University of Michigan) • Specialization

    Towards Data Science

    Medium • Article

    Ready to Start?

    Apply now and get instant access to your internship materials. Pay starting at ₹249 when you submit your completed projects.

    Instant Joining Letter Instant access Self-paced learning