Data Analytics
Project Internship
Program
Duration – 15 Weeks
Project Training – Offline / Online – 5 WEEKS
Project Development – Offline/ Online – 10 WEEKS
PROGRAM HIGHLIGHTS:
- Comprehensive Data Science Coverage
- Hands-on Python and Data Manipulation
- Expertise in Machine Learning and Model Evaluation
- Unsupervised Learning and Feature Engineering
- Incorporation of Time Series and Deep Learning
OUTCOMES:
- Ability to write efficient, readable and sustainable python Code
- Proficiency in debugging Python programs for ML applications
- Ability to interoperate with various Machine Learning Algorithms
- Ability to develop sustainable ML application
- Ability to build Deep Learning models using Keras
PROJECT EXAMPLES:
- Sales Forecasting Using Time Series Data
- Customer Segmentation Using Clustering Techniques
- Building a Chatbot with Neural Networks
- Customer Churn Prediction using KNN
- Movie Recommendation System Using Matrix Factorization
- Building a Social Media Dashboard using matplolib and seaborn
- Exploratory Data Analysis on a Large Dataset (Census)
- AI-Powered Personalized Marketing Recommendations
- AI-Powered Healthcare Diagnosis System using neural networks
TOOLS AND RESOURCES:
- OS: Windows / Linux
- Programming: Python 3.9+, SQL
- Development Tools:
- Excel
- MySQL / PostgreSQL
- Jupyter Notebook / Google Colab
- Power BI / Tableau
- Libraries: pandas, numpy, matplotlib, seaborn, statsmodels
PROJECT DEVELOPMENT – 10 Weeks
Phase 1:
- Problem Definition & Understanding Business KPIs
- Data Collection (Excel, SQL, APIs, Datasets)
- Data Cleaning, Formatting & Transformation
- Exploratory Data Analysis (EDA)
- Initial Report Drafting
- Visualization Planning & KPI Design
Phase 2:
- Dashboard Building (Power BI or Tableau)
- Statistical Insights & Trend Identification
- Storytelling with Data
- Optimization of Visuals & Reports
- Project Deployment (PDF, PBIX, or Web Dashboard)
- Final Documentation & Presentation
