Brief content
Why Choose this Course?
A Data Analytics course teaches how to collect, clean, analyse, visualize, and interpret data for business decision-making. Most industry-focused programs include Excel, SQL, Python, statistics, Power BI/Tableau, and real-world projects
Course Curriculum
- What is Data Analytics
- Types of Analytics
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
- Data Analytics Lifecycle
- Excel Interface & Shortcuts
- Formulas & Functions
- Logical Functions
- Lookup Functions (VLOOKUP/XLOOKUP)
- Pivot Tables
- Charts & Dashboards
- Conditional Formatting
- Data Cleaning in Excel
- What-if Analysis
- Mean, Median, Mode
- Standard Deviation
- Variance
- Probability Basics
- Correlation
- Regression Basics
- Sampling Techniques
- Hypothesis Testing
- Database Fundamentals
- SQL Queries
- SELECT Statements
- Filtering Data
- Aggregate Functions
- GROUP BY & HAVING
- Joins
- Subqueries
- Views Stored Procedures
- Window Functions
- Python Fundamentals
- Variables
- Data Types
- Loops
- Functions
- File Handling
- Python Libraries
- NumPy
- Pandas
- Matplotlib
- Seaborn
- OpenPyXL
- Data Handling
- Data Cleaning
- Missing Values
- Data Transformation
- Data Aggregation
- Power BI
- Power BI Desktop
- Data Import
- Data Modeling
- DAX Basics
- Dashboard Creation
- Reports & Visualization
- Publishing Reports
Or
- Tableau
- Tableau Interface
- Charts & Dashboards
- Storytelling with Data
- Filters & Parameters
- Data Wrangling
- Handling Null Values
- Removing Duplicates
- Data Formatting
- Outlier Detection
- Feature Engineering Basics
- Understanding Data Patterns
- Trend Analysis
- Correlation Analysis
- Business Insights Generation
- Visualization Techniques
- KPI Metrics
- Business Reporting
- Customer Analytics
- Sales Analytics
- Financial Analytics
- Marketing Analytics
- Python
- Power BI
- Tableau
- Jupyter Notebook
- Google Sheets
- Recommended Learning Path