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6-Month Data Science Internship

Data Science Internship: Build Real Experience.

Build practical machine-learning skills through structured learning and real-time projects. Learn through a structured curriculum, practical project work and guided internship experience.

6 Months10+ ProjectsClient Project ExposureCertificate + LOR

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₹9,999 registration fee. Internship participation and project exposure are subject to program requirements; a stipend is not guaranteed.

Build predictive thinking.Explore data, models and machine-learning workflows.

Trusted, Recognised, Respected - Edurup Learning recognition logos

Program at a glance

What you will learn.

Data Science skills organised into a practical 6-month learning journey.

Structured learning

Progress from fundamentals to practical workflows through guided modules and exercises.

10+ practical projects

Build documented project work that demonstrates how you apply the skills you learn.

Internship experience

Develop workplace habits through practical internship activity with Edurup Learning and, where available, partner-company opportunities.

Skills & Tools

Work with relevant tools.

PythonNumPyPandasStatisticsScikit-learnJupyterMatplotlibMachine Learning

Core skills

Build capability step by step.

✓Python for Data Science

✓Statistics & Probability

✓Data Cleaning & EDA

✓Feature Engineering

✓Machine Learning Algorithms

✓Model Evaluation & Visualization

Curriculum

8 modules. One practical learning path.

Each module builds a specific capability and prepares you for project-based application.

Python & Data Science Foundations

Python, notebooks, data structures and the data science workflow.

NumPy & Pandas

Arrays, Series, DataFrames, cleaning and transformation.

Statistics for Data Science

Descriptive statistics, distributions, sampling and practical interpretation.

EDA & Visualization

Discover patterns, outliers and relationships using visual analysis.

Feature Engineering

Prepare useful variables, encode data and create model-ready datasets.

Machine Learning

Regression, classification, clustering and practical algorithm selection.

Model Evaluation

Train/test workflows, metrics, validation and model interpretation.

End-to-End Data Science

Build, document and present a complete machine-learning project.

Projects

10+ projects to build your portfolio.

Projects can vary based on the selected track, learning stage and available project requirements.

House Price PredictionPrepare property data and build a regression model to estimate prices.

Customer Churn PredictionIdentify churn patterns and build a classification workflow.

Sales ForecastingAnalyse historical sales and develop a forecasting-oriented model.

Customer SegmentationUse clustering techniques to identify meaningful customer groups.

Loan Risk AnalysisExplore applicant data and build a practical risk classification model.

Recommendation SystemCreate a basic recommendation workflow using user or item behaviour.

Classification Case StudyCompare classification approaches and evaluate performance using suitable metrics.

Regression Case StudyDevelop and evaluate a regression model for a business problem.

ML Pipeline ProjectCombine preprocessing, feature engineering, training and evaluation into one workflow.

Final Data Science ProjectComplete an end-to-end case study with documentation and presentation.

6-Month Internship Journey

Learn. Build. Intern.

A simple three-step journey that takes you from learning the fundamentals to practical industry experience.

STEP 1

Study Skills

Learn the core concepts, tools and skills of your chosen domain through structured training and guided practice.

Build your foundation

→

STEP 2

Work on Industry Projects

Apply what you learn by working on practical, real-time projects and building evidence of your skills.

Build your portfolio

→

STEP 3

Internship with Edurup Learning / Partner Companies

Move into practical internship experience with Edurup Learning or, where available and applicable, partner-company opportunities.

Gain practical experience

Career Direction

Roles this program can prepare you for.

Data ScientistJunior Data ScientistMachine Learning InternML AnalystData Science Associate

Your Internship Documents

Three documents. One professional journey.

Get a clear record of your internship engagement, completion and recommendation. The previews below show how the documents are presented.

6-Month Program · 10+ Projects · Data Science

Completion Document

EDURUP LEARNING

Certificate of Internship

Internship Completion Certificate

This certificate is proudly presented to

Student Name

for successfully completing the 6-Month Corporate Internship Program in Data Science, including structured learning, practical project work and internship engagement.

Internship CertificateIssued after applicable program completion requirements are met.

Engagement

Edurup Learning

INTERNSHIP LETTER
EL/INT/2026

Letter of Internship Engagement

Internship Letter

To,
Student Name

We are pleased to confirm your participation in the 6-Month Corporate Internship Program at Edurup Learning in the selected domain.

Program6-Month Corporate Internship

DomainData Science

Duration6 Months

Registration₹9,999

The program combines structured learning, guided practice, practical projects and internship experience. Partner-company opportunities, where available, depend on eligibility, availability and project requirements.

This letter confirms participation and does not constitute an offer of employment or guarantee a stipend, salary or permanent placement.

Authorized SignatoryEdurup Learning

Program CoordinatorEdurup Learning

Internship LetterConfirms the internship engagement and program participation.

Recommendation

Edurup Learning

LETTER OF
RECOMMENDATION

Professional Recommendation

Letter of Recommendation

To Whom It May Concern,

This is to recommend Student Name, who participated in the 6-Month Corporate Internship Program at Edurup Learning in Data Science.

During the program, the participant engaged in structured learning, guided practical work and project-based activities designed to develop domain knowledge, professional discipline and practical application skills.

Subject to successful completion of the applicable requirements, we recognize the participant's effort and participation and recommend consideration for relevant academic, project or early-career opportunities.

Authorized SignatoryEdurup Learning

DateDD / MM / YYYY

Letter of RecommendationIssued to eligible participants meeting the applicable requirements.

FAQ

Questions students commonly ask.

Is Python taught from the beginning?

The program is structured to build the Python and data-handling skills needed for practical data science.

Which machine-learning topics are covered?

The curriculum covers practical regression, classification, clustering, feature engineering and model evaluation.

Will I work on real datasets?

Projects are designed around practical datasets and business-style problems, subject to project availability.

Do I need a statistics background?

Advanced statistics is not required to start; practical statistical concepts are introduced as part of the program.

Will I have a final project?

Yes. The journey includes an end-to-end data science project suitable for portfolio documentation.

Is a stipend guaranteed?

No. Internship participation is educational and practical; a stipend is not guaranteed.

Students collaborating on practical projects

Start your Data Science journey.

Learn the skills, build projects and gain practical experience.

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