Table of Contents
ToggleAICTE Data Science Internship 2026 | Apply Online
The AICTE Data Science Internship 2026 is an excellent opportunity for students and fresh graduates who want to build a successful career in Data Science, Machine Learning, Data Analytics, Artificial Intelligence, and Business Intelligence. Offered through the AICTE National Internship Portal, this 2-month virtual internship provides practical exposure to Python programming, data preprocessing, statistical analysis, data visualization, and predictive analytics using real-world datasets. Participants will receive an industry-recognized digital certificate after successfully completing the internship.
📋 Internship Overview
| Particular | Details |
|---|---|
| Internship Name | Data Science Internship 2026 |
| Organization | CodeMore |
| Platform | AICTE National Internship Portal |
| Internship Type | Full-Time Virtual Internship |
| Mode | Remote |
| Duration | 2 Months |
| Start Date | Immediate |
| Stipend | ₹0 (Certificate-Based Internship) |
| Certificate | Industry-Recognized Digital Certificate |
| Credits | 8 Credits |
| Eligibility | Students & Freshers |
| Location | Pan India |
| Openings | 2 |
| Application Mode | Online |
🏢 About the Internship
The AICTE Data Science Internship is designed to provide practical exposure to the complete Data Science lifecycle. Interns will work on data collection, preprocessing, exploratory data analysis (EDA), visualization, statistical modeling, and machine learning fundamentals using Python and modern data science libraries. The internship includes hands-on assignments, real-world datasets, industry-oriented projects, and mentorship from experienced professionals to build job-ready analytical skills.
📚 What You’ll Learn
- Python for Data Science
- NumPy & Pandas
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Statistics for Data Science
- Machine Learning Basics
- Predictive Analytics
- Feature Engineering
- Data-Driven Decision Making
- Model Evaluation
- Real-World Data Science Projects
💼 Key Responsibilities
Selected interns will:
- Analyze real-world datasets using Python.
- Clean and preprocess raw data.
- Perform exploratory data analysis.
- Create dashboards and data visualizations.
- Build basic machine learning models.
- Generate analytical reports and insights.
- Work on industry-oriented projects.
- Collaborate with mentors and project teams.
- Document project findings.
- Complete the final capstone project.
🎓 Eligibility Criteria
Applicants should:
- Be pursuing or have completed B.Tech, B.E., BCA, MCA, B.Sc, M.Sc, BBA, MBA, Diploma, or any graduate program.
- Have an interest in Data Science, Machine Learning, Artificial Intelligence, or Data Analytics.
- Possess basic computer knowledge.
- Be available for the complete 2-month internship.
Students and freshers from all academic backgrounds are eligible to apply.
💻 Required Skills
Technical Skills
- Python
- Data Analysis
- NumPy
- Pandas
- Statistics
- Data Visualization
- Machine Learning Basics
- SQL (Basic)
- Excel
- Problem Solving
Soft Skills
- Communication
- Critical Thinking
- Teamwork
- Analytical Thinking
- Time Management
- Learning Ability
💰 Stipend
- ₹0 per month (Certificate-Based Internship)
- Industry-Recognized Digital Certificate
- Practical Data Science Project Experience
🎁 Benefits
- AICTE Digital Internship Certificate
- Hands-on Data Science Projects
- Industry Mentorship
- Portfolio Development
- Resume Enhancement
- Flexible Remote Internship
- Practical Experience with Real Datasets
- Career Guidance
- Exposure to Modern Analytics Tools
- Industry-Oriented Learning Experience
📝 Selection Process
- Online Registration
- Application Screening
- Shortlisting
- Internship Enrollment
- Project Assignment
- Performance Evaluation
- Certificate Issuance
📍 Internship Location
Remote / Virtual (Pan India)
🌟 Career Opportunities
After completing this internship, candidates can pursue roles such as:
- Data Scientist
- Data Analyst
- Business Analyst
- Machine Learning Engineer
- AI Engineer
- Data Engineer
- Business Intelligence Analyst
- Research Analyst
- Analytics Associate
- Junior Data Scientist
📄 Required Documents
- Updated Resume
- Passport-size Photograph
- College ID Card
- Academic Certificates
- Government ID Proof (if required)
📌 How to Apply
- Visit the AICTE National Internship Portal.
- Register or log in.
- Search for Data Science Internship 2026.
- Open the internship details page.
- Complete the online application form.
- Upload the required documents.
- Submit your application before the application deadline.
📢 Final Thoughts
The AICTE Data Science Internship 2026 is an ideal opportunity for students who want to develop practical expertise in Python, Data Analytics, Machine Learning, and Data Visualization. With real-world datasets, industry mentorship, and project-based learning, this internship equips participants with the technical and analytical skills needed for successful careers in the rapidly growing field of Data Science.
Apply Online |
Click here |
||||||||
Official Notification |
Click here |
||||||||
About CompanyCodeMore is a technology-focused training organization that collaborates with the AICTE National Internship Portal to deliver industry-oriented internships in Data Science, Artificial Intelligence, Machine Learning, Cloud Computing, Web Development, and Software Engineering. Through hands-on projects, expert mentorship, and practical assignments, CodeMore helps students build industry-ready technical skills, strengthen their portfolios, and improve their career opportunities in the technology sector. |
|||||||||
![]() |
|||||||||
| About the Author: –
Founder, AlexaHire | Career & Internship Researcher Sonu Rajput is the founder of AlexaHire, a career-focused platform helping students and freshers discover verified internships, job openings, and skill-building opportunities across India. With a strong interest in employment trends, virtual internships, fresher jobs, and skill development, Sonu researches and publishes practical content that bridges the gap between academic learning and real-world industry requirements. His work focuses on:
Sonu believes in sharing clear, updated, and trustworthy information to help learners make informed career decisions. |
|||||||||
For More Other Jobs/Internship:- |
|||||||||
|
|
|||||||||















