Data Analytics With Python - Internship (Part Time)
GRADTWIN SERVICES (OPC) PRIVATE LIMITED Verified employer
Actively hiring · Posted today · JEV26101D7AC96439
Job description
About the internship:Use Python to process, analyse, and visualize datasets. Interns will work with Python-based data analysis libraries and practical datasets.
Selected interns' day-to-day responsibilities include:
1. Import and clean datasets.
2. Analyse data using Python.
3. Use Pandas and NumPy.
4. Create visualizations.
5. Identify trends and patterns.
6. Complete analytics projects.Who can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 2nd Oct'26 and 6th Nov'26are available for duration of 3 monthshave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 3,001 - 7,002 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Statistics, Data Visualization, NumPy and PandasAbout Company:Gradtwin is a student-focused organization committed to helping students and fresh graduates build practical skills, gain real-world experience, and explore career opportunities.
We offer internship opportunities across diverse domains, including technology, data, healthcare, marketing, human resources, and business, enabling students to work on real-world projects and develop industry-relevant skills.
At Gradtwin, interns get the opportunity to learn through hands-on experience, collaborate with teams, take on meaningful responsibilities, and strengthen their resumes and professional portfolios. We welcome students, fresh graduates, and aspiring professionals who are eager to learn, contribute, and grow.
Join Gradtwin to learn, gain experience, build your skills, and take your first step toward a successful career.Additional information:
Stipend Structure:
Fixed pay: ₹ 3,000 - 7,000 /month
Incentive pay: ₹ 1 - 2 /month
Responsibilities
Use Python to process, analyse, and visualize datasets. Interns will work with Python-based data analysis libraries and practical datasets.
Selected interns' day-to-day responsibilities include:
1. Import and clean datasets.
2. Analyse data using Python.
3. Use Pandas and NumPy.
4. Create visualizations.
5. Identify trends and patterns.
6. Complete analytics projects.
Key skills
How to apply
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