What is BEGINNER TO ADVANCED DATA ANALYTICS WITH GEN AI?
The Industry-Oriented Data Analytics & Artificial Intelligence Program is a comprehensive career-focused training designed for students, graduates, and professionals who want to build expertise in modern data technologies from beginner to advanced level.This program covers the complete roadmap of Data Analytics, Business Intelligence, Machine Learning, and Generative AI with practical industry applications. Students will gain hands-on experience in Advanced Excel, SQL Database Management, Python Programming, Data Visualization, Power BI, Tableau, Statistics, Machine Learning, and AI tools used by leading companies worldwide.The curriculum is designed with real-time projects, case studies, and practical assignments to help learners develop analytical thinking, data-driven decision-making, and AI implementation skills. Along with technical expertise, the program also focuses on industry readiness, problem-solving, and professional development.
This program is designed to take you from a complete beginner to a job-ready professional. We focus on practical skills, industry best practices, and the latest tools used by top tech companies globally.
Course Syllabus
Module 1: Module 1
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Introduction to Data Analytics
Module 2: Module 2
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Advanced Excel for Data Analytics
Module 3: Module 3
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Statistics for Data Analytics
Module 4: Module 4
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SQL for Data Analytics
Module 5: Module 5
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Python for Data Analytics
Module 6: Module 6
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Microsoft Power BI
Module 7: Module 7
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Tableau
Module 8: Module 8
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Data Warehousing & ETL
Module 9: Module 9
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Machine Learning for Analysts
Module 10: Module 10
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Generative AI for Data Analytics
Module 11: Module 11
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Cloud & Big Data Basics
Module 12: Module 12
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Real-World Capstone Projects
Module 13: Module 13
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Career & Placement Preparation
Frequently Asked Questions
What is this Data Analytics, Machine Learning & Generative AI Program?
This is a comprehensive industry-oriented program that covers Data Analytics, Advanced Excel, SQL, Python, Power BI, Tableau, Statistics, Machine Learning, and Generative AI to prepare learners for data-driven careers.
Why is SQL important for Data Analytics?
SQL is essential for retrieving, managing, and analyzing data stored in databases. It is one of the most widely used skills for Data Analysts and Business Intelligence professionals.
What is Power BI and how is it used?
Power BI is a Business Intelligence tool used to create interactive dashboards, reports, and visualizations that help organizations make data-driven decisions.
Will I learn Tableau?
Yes. You will learn how to create professional dashboards, visual reports, and interactive data visualizations using Tableau.
Why is Statistics important in Data Analytics?
Statistics helps analysts understand data patterns, identify trends, test hypotheses, and make accurate predictions based on data.
What is Machine Learning?
Machine Learning is a branch of AI that enables systems to learn from data, identify patterns, and make predictions without being explicitly programmed for every task.
Is this program suitable for beginners?
Yes. The curriculum follows a structured learning path from beginner-level concepts to advanced analytics and AI applications.
Course Includes:
- 45+ Hours of HD Video
- 12 Downloadable Resources
- Full Lifetime Access
- Access on Mobile & TV
Student Testimonials
"This program provided a complete learning path from beginner to advanced level. I learned data visualization, business intelligence, statistical analysis, and AI-powered analytics tools. The trainers were supportive and knowledgeable throughout the course"
Abhijith Biju
Verified Student
"As a beginner, I was worried about learning data analytics, but the trainers explained every concept clearly. The inclusion of Generative AI tools made the learning experience modern and industry-relevant. I highly recommend this program to anyone looking to build a career in analytics"
Krishna Sunil
Verified Student
"The Data Analytics with Gen AI program exceeded my expectations. The curriculum started with the fundamentals and gradually covered Advanced Excel, SQL, Python, Power BI, Tableau, Machine Learning, and Generative AI. The hands-on projects helped me gain practical experience and confidence in working with real-world data."
Gayathri P Prasad
Verified Student