Data Science & Analytics
Master data analysis, visualization, and insights extraction using Python and modern analytics tools.
Overview
Develop expertise in extracting actionable insights from data. Learn data analysis, statistical methods, and visualization techniques to solve real-world business problems.
Work through practical projects that demonstrate your ability to analyze datasets, identify patterns, and communicate findings effectively.
What You Will Do
This internship is structured around 6 practical tasks. The tasks below provide a sample overview of how the internship progresses. Each task targets a specific skill set and builds on the previous one, creating a cohesive, portfolio-ready experience.
Task 1 — Data Cleaning & EDA
Clean a messy dataset and perform exploratory data analysis to find key trends.
Task 2 — SQL Data Extraction
Write complex SQL queries to extract and aggregate business metrics.
Task 3 — Data Visualization
Create comprehensive charts and graphs using Matplotlib/Seaborn.
Task 4 — Dashboard Creation
Build an interactive Tableau dashboard for stakeholders.
Note: The tasks listed above are a sample overview for reference purposes. The actual tasks will be provided upon selection and offer letter issuance.
Ready to Apply?
Start your internship journey by submitting your application. Qualified candidates will be selected for the program.
Skills You Will Use
Requirements
- Basic knowledge of Python
- Ability to commit to the full internship duration
- Access to a computer with internet connection
- No prior internship experience required
Internship Journey
- 📋Application
- 📄Offer Letter
- 💼Internship
- ⚙️Practical Tasks
- ✅Verification
- 🏆Internship Complete