Welcome to my repository documenting my learning journey during the National Telecommunication Institute (NTI) Summer Training (2026 Track: Data Analysis).
This space serves as a central repository for session summaries, technical notes, hands-on labs, and practical projects completed throughout the program.
The National Telecommunication Institute (NTI) summer program is an intensive technical track designed to build strong foundations in data analytics, data manipulation, visualization, and data-driven decision-making using industry-standard tools and techniques.
- Master core data manipulation and analysis using Python and standard libraries (Pandas, NumPy).
- Query, clean, and transform relational data using SQL.
- Apply exploratory data analysis (EDA) and statistical techniques to extract actionable insights.
| Area | Technologies / Tools |
|---|---|
| Languages | Python, SQL, DAX |
| Libraries | Pandas, NumPy, Matplotlib, Seaborn |
| Databases | SQL Server, SSMS |
| Tools & IDEs | Jupyter Notebooks, Visual Studio Code, Git |
Throughout this training, emphasis is placed not just on producing charts, but on delivering meaningful analytics according to industry standards:
- Data Wrangling & Cleaning: Structuring messy datasets, handling missing values, and detecting outliers accurately.
- Exploratory Data Analysis (EDA): Asking the right questions to uncover hidden trends, correlations, and business patterns.
- Effective Visual Storytelling: Designing intuitive, accessible dashboards that drive actionable business decisions.
This repository is maintained for educational and personal growth purposes. All course materials, lab prompts, and notes belong to the National Telecommunication Institute (NTI). Code implementations, analytical reports, and lab solutions are authored by me as part of the training coursework.