Artificial Intelligence & Data Science
Artificial Intelligence & Data Science Course
Course Outcomes
- Understand core concepts of Data Analytics, Data Science, Artificial Intelligence, and Machine Learning.
- Collect, clean, transform, and prepare data for analysis using industry-standard techniques.
- Perform statistical analysis and interpret data-driven insights for business decision-making.
- Use Microsoft Excel for data analysis, reporting, dashboard creation, and KPI tracking.
- Write Python programs for data processing, automation, and analytical applications.
- Build basic AI and Deep Learning solutions using TensorFlow and Keras.
- Write advanced SQL queries for data extraction, transformation, reporting, and analysis.
- Write advanced SQL queries for data extraction, transformation, reporting, and analysis.
- Create interactive business dashboards and reports using Power BI.
- Work with NoSQL databases using MongoDB for handling structured and semi-structured data.
- Understand cloud computing concepts and deploy applications using AWS and Microsoft Azure services.
Curriculum
- Data Analytics Foundations
- Advanced Excel for Analytics
- Statistics & Probability
- Python Programming
- Data Analysis with Python
- SQL & Database Management
- Power BI for Business Intelligence
- Machine Learning
- Artficial Intelligence & Deep Learning
- MongoDB & NoSQL Databases
- Cloud Computing for AI & Data Science
- Capstone Project & Industry Readiness
tools & technologies
- Microsoft Excel
- Python
- NumPy
- Pandas
- Power BI
- MySQL
- MongoDB
- AWS
- Microsoft Azure