Data Analytics and Business Intelligence

Course Description

The Data Analytics course is a comprehensive, hands-on program designed to transform beginners into skilled data professionals. This course covers essential tools and techniques used in the data lifecycle—data collection, cleaning, analysis, visualization, and reporting.

You will learn to work with tools like Excel, SQL, Python (with libraries like pandas, NumPy, Matplotlib, and Seaborn), Power BI, and Tableau. With real-world case studies and live projects, you’ll gain practical experience to analyze complex data, extract meaningful insights, and support data-driven decision-making.

Who can Apply?

This course is ideal for:

• Students and graduates from any stream (Commerce, Science, Engineering, Arts, etc.)
• Working professionals looking to transition into data roles
• Business analysts and managers seeking to upskill
• Entrepreneurs who want to use data to grow their businesses
• Anyone with a strong interest in technology and problem-solving
• Anyone curious about how data shapes modern business strategies

Prerequisites: No prior coding experience required. Basic computer literacy and analytical thinking are helpful.

Key Benefits

• Beginner-Friendly to Advanced Curriculum structured for all backgrounds
• Real Industry Projects in sectors like sales, marketing, HR, and operations
• Master In-Demand Tools like Excel, SQL, Python, Power BI, and Tableau
• Data Cleaning & Visualization Mastery for real-world applications
• Resume-Building Support and Job Interview Preparation
• Government Approved Certificate of Completion

Complementary Inclusions

• Free Access to Python Programming Course for those new to coding
• Career Guidance Sessions with industry experts
• Access to AIML Community Forum for peer learning and networking
• Soft Skills and Communication Workshops to help you present your AI work effectively
• Project Review & Feedback from experienced mentors
• Resume & LinkedIn Profile Optimization Sessions
• Internship/Placement Assistance (subject to eligibility and performance)