What you'll learn
The Data Analytics course is designed to teach students how to collect, analyze, and interpret data to make smarter business decisions. It covers essential tools and techniques such as Excel analytics, SQL, data visualization, dashboards, and basic statistical methods. Students learn how to work with real datasets, create meaningful insights, and present reports that support business growth. This course is ideal for students, job seekers, and professionals who want to build strong analytical skills and enter careers in data analysis, business intelligence, and decision-making roles.
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Course Syllabus
Module 01
Advance Excel
- Logical Formulas
- Textual Formulas
- Date & time Formulas
- References & Lookup Formulas
- Maths & Trigo Formulas
- Financial Formulas
- Pivot table/Chart
- Advance Filter
- Data Visualization
- VBA & Micros
- Excel With AI
Module 02
SQL Server (Database)
- SQL Server Overview
- Handling Data in a Database
- Objects Creating & Managing Indexes
- Data Correlation
- Transactions & locks
- Functions, Constructs & Cursors
- Triggers & Stored Procedures
- Advanced Text Queries
- Working with Distributed Data
Module 03
Power bi (Data Visualization)
- What is Business Intelligence
- What is Microsoft Power BI
- Different types of licenses in Power BI
- Download & Install Power BI Desktop
- Power BI Architecture
- Power BI Components
- Types of Data Sources that Power BI Supports
- Types of Views available in Power BI Desktop
- Introduction to DAX & Query Editor
- How to Build a Dashboard in Power BI
Module 04
Tableau
- PowerBI Dashboard Examples
- Introduction to Tableau
- Tableau Interface and Navigation
- Connecting to Data Sources
- Creating Basic Visualization
- Advanced Chart Types
- Dashboards and Stories
- Calculations and Parameters
- Filters and Interactive Elements
- Mapping and Geospatial Analysis
- Data Blending and Joins
- Tableau Public and Online
- Tableau Server and Sharing
- Performance Optimization
- Tableau Extensions and Integrations
- Real-world Case Studies
Module 05
CORE PYTHON (Data Analysis)Overview
- Environment
- Basic Syntax
- Variable Types
- Basic Operators
- Decision Making
- Loops
- Numbers
- Strings
- Lists
- Tuples
- Dictionary
- Date And Time
- Functions
- Modules
- Files I/O
- Exceptions
- Classes And Objects
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