Business Analytics & Data Science Training
This program helps learners develop analytical thinking and technical skills to work with business intelligence, data analytics, machine learning, and visualization tools.
Tools & Technologies
- Python
- Pandas
- Numpy
- Power BI
- Tableau
- SQL
- Excel Analytics
- Macjine Learning Basics
12-Week Data Science Program
WWeek 1: Introduction to Data Science
- Data science lifecycle
- Python setup
- Jupyter notebooks
- Data fundamentals
Week 2: Python for Analytics
- Data structures
- Functions
- File handling
- Libraries overview
Week 3: Data Analysis with Pandas
- DataFrames
- Data cleaning
- Filtering and grouping
- Data transformation
Week 4: SQL for Analytics
- Queries and joins
- Aggregations
- Database reporting
- Database reporting
Week 5: Data Visualization
- Charts and dashboards
- Matplotlib basics
- Tableau introduction
- Power BI overview
Week 6: Statistics for Data Science
- Descriptive statistics
- Probability basics
- Hypothesis testing
- Correlation analysis
Week 7: Machine Learning Fundamentals
- Supervised learning
- Regression
- Classification
- Model evaluation
Week 8: Advanced Analytics
- Clustering
- Forecasting basics
- Recommendation systems
- Feature engineering
Week 9: Business Intelligence
- KPI dashboards
- Business reporting
- Data storytelling
- Decision-making analytics
Week 10: Real-World Projects
- Sales analytics
- Customer segmentation
- Predictive analysis
- Data pipeline basics
Week 11: Capstone Project
- End-to-end analytics project
- Dashboard presentation
- Documentation
Week 12: Career & Certification Preparation
- Portfolio building
- Interview questions
- Resume optimization
- Certification guidance