📚 Data Analyst – Course Content

1. Introduction to Data Analytics

• What is Data Analytics & its scope
• Types of analytics (Descriptive, Diagnostic, Predictive)
• Data Analyst roles & responsibilities
• Analytics lifecycle

2. Advanced Excel for Data Analysis

• Excel interface & shortcuts
• Data cleaning & formatting
• Advanced formulas & functions
• PivotTables & PivotCharts
• Excel dashboards

3. SQL for Data Analysis

• Database fundamentals
• Writing SQL queries
• Filtering, sorting & aggregation
• Joins & subqueries
• Analytics-driven SQL use cases

4. Data Visualization with Power BI

• Power BI overview
• Data import & transformation
• Data modeling
• DAX basics
• Interactive dashboards & reports

5. Python for Data Analysis (Intro)

• Python basics
• NumPy & Pandas
• Data cleaning & manipulation
• Basic data visualization

6. Data Cleaning & Preparation

• Handling missing values
• Removing duplicates
• Data transformation techniques
• Data validation

7. Statistics for Data Analysts

• Descriptive statistics
• Mean, median, mode
• Variance & standard deviation
• Correlation & regression basics

8. Business Analytics & Reporting

• KPI & metrics understanding
• MIS & management reports
• Business dashboards
• Storytelling with data

9. Domain-Based Analytics

• Sales analytics
• Marketing analytics
• Finance analytics
• HR analytics

10. Excel + SQL + Power BI Integration

• End-to-end analytics workflow
• Data extraction to dashboard
• Automation basics

11. Analytics Tools & Best Practices

• Google Sheets basics
• Version control intro
• Documentation & reporting standards

12. Interview Preparation & Soft Skills

• Resume building for Data Analysts
• Interview questions & case studies
• Presentation & communication skills

13. Live Projects & Practical Work

• Sales performance dashboard
• Customer analysis project
• MIS reporting project
• Real-world analytics case study