About the program

This internship is a structured three month remote program designed for students who are passionate about data science and eager to gain hands on practical experience. The internship focuses on building foundational skills in Python programming data analysis machine learning and project development. It is an ideal opportunity for students to apply their theoretical knowledge to real world challenges and strengthen their portfolio for future job or academic prospects. The internship will be conducted entirely online. Interns will receive weekly learning materials and tasks to be completed using tools such as Jupyter Notebook Visual Studio and GitHub. Topics covered include Python basics Numpy Pandas data visualization using Matplotlib and Seaborn and introductory machine learning using Scikit Learn. Towards the end of the internship interns will work on a guided capstone project using publicly available datasets. The program is designed to encourage self paced learning along with weekly deadlines to ensure consistent progress. There will be weekly quizzes or assessments to evaluate the understanding of topics. Support will be provided through documents and doubt resolution sessions. All interns who complete the internship by submitting assignments on time and completing the final project will receive a digital certificate of completion. In addition to this a letter of recommendation may be provided to the top performing students based on their overall performance communication skills and commitment during the internship. This is an unpaid internship program. However to encourage excellence and reward high performers a performance based stipend may be awarded to a limited number of interns. The selection for the stipend will be based on factors such as assignment quality creativity consistency and final project evaluation. The stipend is optional and merit based and there is no guarantee of payment to all participants. To support the operational and certification process optional paid services will be available for those who wish to opt for premium features. These include a personalized certificate project evaluation feedback resume review and mock interviews. These paid services are entirely optional and not linked to internship selection or certification eligibility. By the end of the three months interns will gain practical exposure to data science workflows improve their problem solving skills and learn how to structure and present data science projects. This internship is best suited for students pursuing BTech BSc MTech MCA or any relevant field who are familiar with basic programming and are motivated to learn. We welcome applications from candidates who have access to a computer stable internet connection and a willingness to dedicate six to eight hours per week for the duration of the internship. Interns must be self driven proactive and enthusiastic about building a career in data science. We look forward to mentoring the next generation of data scientists and providing a learning environment that encourages innovation collaboration and growth.

Perks

- Certificate of Completion for all interns who complete tasks and project on time - Letter of Recommendation for top performing candidates - Hands-on experience with Python, Pandas, Numpy, and Machine Learning - Real-world data project for portfolio development - Weekly mentorship and feedback sessions - Recognition on LinkedIn and GitHub for outstanding work - Performance-based stipend for select top interns - Optional premium services including personalized resume feedback and mock interviews

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

This is a remote internship for a duration of three months. Interns are expected to dedicate 6 to 8 hours per week to complete learning modules, weekly assignments, and a final project. All learning materials and communication will be provided online via email. Interns must follow the weekly schedule and submit their tasks on time to be eligible for the certificate. There is no fixed stipend for this internship. However, based on performance, select interns may be awarded a stipend at the end of the program. The internship is free of cost, and participation does not require any payment. Optional value-added services such as resume review or mock interviews are available for a nominal fee and are not mandatory. Completion certificate will be given only to those who complete the minimum required tasks and submit a final project. A Letter of Recommendation will be awarded to the top-performing interns based on quality of submissions, communication, and consistency.

Number of openings

250