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Future-Ready Program
Data Science & AI Analytics
Leverage advanced analytics, predictive modeling, and AI database systems
Transform raw data into strategic intelligence. Master exploratory data analysis, predictive modeling, and integrate natural language querying interfaces directly into SQL database systems.
Learning outcomes
- Perform advanced data manipulation and ETL pipelines using Pandas and PySpark
- Build and evaluate predictive regression and classification models
- Implement Text-to-SQL agents allowing natural language database queries
- Construct real-time interactive business intelligence dashboards
Prerequisites
- Basic Python knowledge and intermediate SQL skills
- Laptop with 8GB+ RAM
Curriculum
A complete, week-by-week roadmap.
From fundamentals to production deployment.
01
Exploratory Analysis
- Pandas & NumPy
- Data Visualization
- Data Cleaning
02
Statistical Modeling
- Hypothesis Testing
- Scikit-learn Regressors
- Classification Models
03
Big Data Pipelines
- Spark
- SQL Optimizations
- Data Warehousing
04
AI Analytics
- Text-to-SQL agents
- LLM report generators
Real-world projects
Ship applications you can actually walk an interviewer through.
- Automated retail sales forecaster with natural language insights dashboard
- Semantic SQL-database query copilot tool
Career opportunities
Roles this program prepares you for.
Data Scientist Analytics Engineer Business Intelligence Architect AI Data Analyst
Agentic AI workflows
AI automation in this course
Practical agentic AI use cases woven directly into your weekly builds.
Use case 01
Build natural language database query agents
Use case 02
Create automated anomaly detection alerts
Use case 03
Integrate Pandas-native data analyst agents
Ready to start Data Science & AI Analytics?
Enroll online and access the full curriculum in your learner dashboard.
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