The Data Analytics Course is designed to equip students with the skills to collect, organize, analyze, and interpret data for informed decision-making. The course covers data analysis techniques, statistical concepts, data visualization, and business intelligence tools, enabling learners to transform raw data into meaningful insights.
Students gain hands-on experience with Microsoft Excel, SQL, Power BI, Python for Data Analysis, and data visualization techniques through practical projects and real-world case studies. The program focuses on developing analytical thinking, problem-solving abilities, and data-driven decision-making skills required in today's business and technology sectors.
This course is ideal for students, graduates, working professionals, and aspiring analysts who want to build a successful career in data analytics, business intelligence, and data-driven decision-making.
Introduction to Data Analytics
Advanced Microsoft Excel
Data Cleaning & Preparation
SQL for Data Analysis
Statistics & Data Interpretation
Python for Data Analytics
Data Analysis Projects
Professional Skills & Case Studies
Introduction to C++
Computer Programming Fundamentals
Variables, Data Types & Operators
Control Statements (If, Switch, Loops)
Functions & Recursion
Arrays & Strings
Object-Oriented Programming (Classes & Objects)
Basic Data Structures
Mini Projects & Practical Assignments
HTML5 and CSS3
JavaScript and jQuery
Responsive Design (Bootstrap, Flexbox)
PHP/MySQL (Backend Programming)
Web Hosting and Deployment
WordPress Website Creation
Computer Fundamentals
Programming in C, C++ & Java
Data Structures & Algorithms
Database Management Systems (DBMS)
Operating Systems
Web Development (HTML, CSS, JavaScript)
Object-Oriented Programming (OOP)
Cloud Computing
Artificial Intelligence Basics
Project Work & Internship