About the Internship
PRACTICAL SKILLS. REAL PROJECTS. REAL EXPOSURE.
Our 6-month Data Science internship is designed to help students and graduates develop practical machine learning skills, work on industry-oriented predictive models and gain corporate experience.
You will work on real datasets, build predictive pipelines and understand how data science drives business decisions in professional environments.
Ideal for students who are passionate about machine learning and want to build a career in data science.
Your Internship Journey
A SIMPLE 3-STEP PATH TO YOUR CAREER GROWTH.
01
Study Skills
Learn essential Python & ML concepts.
02
Work on Projects
Build real ML & predictive models.
03
Gain Corporate Experience
Understand corporate DS workflows.
Industry Projects
BUILD 10+ REAL MACHINE LEARNING PROJECTS.
House Price Prediction Model
Customer Churn Prediction System
Sales & Demand Forecasting
Customer Segmentation & Clustering
Loan Risk Classification Analysis
End-to-End ML Pipeline Capstone
Corporate Experience
GET A TASTE OF THE REAL WORLD.
Work on real business scenarios
Learn professional communication
Experience team collaboration
Understand workplace processes
What You Gain
MORE THAN JUST A LEARNING EXPERIENCE.
Internship Certificate
Recognize your skills
Internship Letter
Proof of your experience
Letter of Recommendation
Boost your future opportunities
Sample Internship Documents
SEE WHAT YOU WILL RECEIVE.
Sample Internship Certificate
Sample Internship Letter
Sample Letter of Recommendation
Who Can Join?
OPEN FOR ALL AMBITIOUS LEARNERS.
College
Students
Students
Final-Year
Students
Students
Recent
Graduates
Graduates
Career
Switchers
Switchers
What Our Learners Say
REAL STORIES. REAL GROWTH.
“The Data Analytics internship at Edurup Learning helped me gain practical skills and confidence. The projects were industry-focused and the support from the team was excellent.”
B.Com Student
Frequently Asked Questions
EVERYTHING YOU NEED TO KNOW ABOUT THE PROGRAM.
Is Python taught from scratch?
Yes. We start from basic Python syntax, data types, and functions before moving to NumPy, Pandas, and Scikit-Learn.
What machine learning models are covered?
The curriculum covers Linear/Logistic Regression, Decision Trees, Random Forests, K-Means Clustering, and Model Evaluation metrics.
Will I get an Internship Certificate and LOR?
Yes! Upon successful completion of project requirements, you receive an Internship Certificate, Internship Letter, and Letter of Recommendation.
Start your Data Science journey.
Learn the skills, build projects and gain practical experience.