What You Will Master in This Track
Foundational Principles
Master the underlying algorithms, architectures, and theoretical intuition powering modern artificial intelligence.
Workflow & Agent Modeling
Understand how autonomous agents perceive data, represent domain knowledge, and execute goal-driven decisions.
Practical Real-World Use
Bridge concept with practice through real business case studies, hands-on exercises, and domain workflows.
Responsible & Ethical AI
Mitigate model bias, ensure transparency, and deploy accountable AI solutions that adhere to industry governance.
Course Curriculum & Modules (21)
Select any module below to inspect in-depth syllabus notes, practical focus, and review questions.
01
Introduction to Data Science
02
Data Collection
03
Data Cleaning
04
Data Preprocessing
05
Excel for Data Analysis
06
Statistics Basics
07
SQL Basics
08
Data Analysis
09
Python Basics for Data Analysis
10
Exploratory Data Analysis (EDA)
11
Data Visualization
12
Dashboard Creation
13
Data Reporting
14
Business Analytics
15
Predictive Analytics
16
AI-Based Data Analysis
17
Real-World Data Project
18
Excel
19
SQL
20
Python for Data Analysis
21