MG Education & Social Development Organisation offers a Data Analytics Internship aimed at developing strong data analysis and interpretation skills. This internship provides hands-on experience in working with real datasets, extracting meaningful insights, and supporting data-driven decision-making using modern analytics tools and techniques.
To build strong analytical and problem-solving skills
To understand the complete data analytics lifecycle
To gain practical experience with real-world datasets
To prepare interns for careers in data analytics and related fields
What is Data Analytics?
Role of Data Analyst in Organizations
Types of Analytics (Descriptive, Diagnostic, Predictive)
Data Analytics Workflow
Data Types & Data Sources
Data Collection Methods
Data Cleaning & Data Preprocessing
Handling Missing & Duplicate Data
Data Sorting & Filtering
Formulas & Functions
Pivot Tables & Charts
Data Analysis Using Excel
Introduction to Databases
Writing SQL Queries
Data Filtering, Joins & Aggregations
Extracting Insights Using SQL
Data Visualization Principles
Creating Charts & Dashboards
Introduction to Power BI / Tableau
Visual Storytelling with Data
Introduction to Python for Analytics
Working with Pandas & NumPy
Basic Data Analysis Using Python
Data Visualization Basics (Matplotlib overview)
Working with Real Datasets
Data Cleaning → Analysis → Visualization
Insight Generation & Reporting
Final Project Presentation & Evaluation
✔ Data Cleaning & Preprocessing
✔ Excel & SQL for Analytics
✔ Data Visualization & Dashboards
✔ Python Basics for Data Analysis
✔ Analytical & Critical Thinking
✔ Business & Data Insight Generation
✔ Project-Based Analytics Experience
📜 Internship Completion Certificate
🏆 Project Completion Certificate
📊 Hands-on Experience with Real Data
💼 Career Guidance & Mentorship
📁 Data Analytics Projects for Portfolio
🚀 Improved Career Opportunities in Analytics & Data Domains
Students from Any Stream
Beginners interested in Data Analytics
Aspiring Data Analysts
Anyone looking to build a data-driven career
Flexible Duration (4 Weeks / 6 Weeks / 8 Weeks)
Mode: Online / Offline (as per availability)