Overview
Course Description
This course is meticulously designed to reinforce analytical thinking and data-driven
decision-making in a modern business context. It focuses on data collection, cleaning, statistical
analysis, and compelling visual representation of insights. Students will discover why data analytics
is the cornerstone of modern enterprise strategy, enabling organizations to forecast trends, optimize
performance, and maintain a decisive competitive advantage.
Key Highlights:
- Data analytics fundamentals: data lifecycle, analysis methods & business intelligence
- Excel for analytics: advanced formulas, pivot tables, data modeling & dashboards
- SQL mastery: queries, joins, subqueries & database management
- Python for data analysis: Pandas, NumPy, Matplotlib & data manipulation
- Data visualization tools: Tableau, Power BI & interactive dashboard creation
- Data cleaning & preprocessing: handling missing data, outliers & ETL processes
- Business intelligence: KPIs, metrics & data-driven decision making