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Data analysis with Advance Excel, SQL, Power BI, tableau, Python tools, and Generative AI for reporting, insights, and dashboards.
Learner rating
4.9/5
Course duration
6 Months
Learning modules
6 modules
Learning mode
Online/ Offline
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Your next step
Data Analytics with GenAI is a 6-month, hands-on program designed to build job-ready skills in Excel, SQL, Power BI, Tableau, Python and GenAI. Learn through practical assignments, real-world business scenarios, and portfolio projects, with interview preparation and placement support to help you prepare for roles like Data Analyst and BI Analyst.
Hands-on practice with Excel, SQL, Power BI, Tableau, and Python
Business Intelligence foundations with Advanced Excel and MIS dashboard design
Six portfolio-ready industry projects with guided labs and capstone presentation
Resume building, mock interviews, interview preparation, and job placement support
A structured learning journey
Explore the curriculum, build your understanding one module at a time, and put each new skill into practice.
Find out how this curriculum fits your career goals.
Tools & technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Build practical skills with industry-relevant learning, expert guidance, and hands-on projects designed for modern teams.
Get the complete curriculum, tools, projects, and career support details in one brochure.
Build something that matters
Every student completes 6 real-world projects — one per month — building a professional portfolio demonstrated during placement interviews.
Purpose
Analyse sales transactions, customer behaviour, product performance, regional sales, revenue, and profitability trends. GenAI converts analytical findings into management-friendly insights.
Business Output
A clear view of revenue drivers, profitable products, high-performing regions, and performance gaps to support sales growth, better product mix, and corrective action.
Purpose
Analyse customer transactions, engagement, usage patterns, complaints, and customer characteristics to identify factors influencing churn. Use analytics and predictive techniques to identify customers at risk of leaving.
Business Output
Identify high-risk and high-value customers before they leave, enabling targeted retention campaigns, personalised offers, and proactive engagement to reduce churn and improve customer lifetime value.
Purpose
Analyse inventory levels, product demand, stock movement, supplier performance, lead times, and stock-out patterns to identify inventory risks and supply-chain inefficiencies.
Business Output
Identify slow-moving products, excess inventory, stock-out risks, and supplier performance issues to optimise inventory, reduce carrying costs, improve product availability, and minimise disruptions.
Purpose
Analyse employee information including department, tenure, salary, performance, job role, and workforce factors to understand attrition patterns and identify the major factors associated with employee turnover.
Business Output
Help HR teams identify attrition-prone departments, employee segments, and retention risks to reduce hiring costs and improve workforce stability.
Purpose
Analyse revenue, expenses, costs, margins, budgets, and profitability across products, departments, regions, or business units to understand financial performance and profit-and-loss drivers.
Business Output
Reveal profitability drivers, cost leakage, budget variances, and margin improvement opportunities for better cost control, financial planning, and strategic decisions.
Purpose
Analyse patient visits, appointments, waiting times, hospital departments, bed occupancy, resource utilisation, and operational performance to identify bottlenecks and improve healthcare-service efficiency.
Business Output
Identify high-demand departments, resource-utilisation gaps, waiting-time problems, and operational inefficiencies to improve patient experience and support better planning.
Portfolio tip: document the problem, your approach, and the result so you can walk an interviewer through your decisions.
Learn more about how we have been impacting thousands of careers.
Recognition that travels with you
Certification pathway
Prepare for the Microsoft PL-300 pathway with Power BI practice, mock exam strategy, portfolio development, resume and LinkedIn preparation, and technical and HR mock interviews.
Beyond the classroom
Soft skill session
Resume building
Aptitude training
LinkedIn profile building
Mock interview
Job assistance
Get comprehensive support to help you become job-ready and confident for your career in Data Analytics.
Student voices
Hear how learners turned structured practice into career momentum.
Veera Venkata
Data Analyst
“The hands-on projects helped me build confidence and a portfolio I could explain clearly in interviews.”
Sakshi Singaraddi
Trainee Software Engineer
“The mentors made every step approachable and the career guidance helped me prepare with direction.”
Veera Venkata
Data Analyst
“The hands-on projects helped me build confidence and a portfolio I could explain clearly in interviews.”
Sakshi Singaraddi
Trainee Software Engineer
“The mentors made every step approachable and the career guidance helped me prepare with direction.”
Your next opportunity starts here
Industry-ready courseFilling fastStart your Data Analytics journey with RaysTech Academy.
Your next opportunity starts here
A little more clarity
Answers to common questions about learning, projects, and getting started.
It is a comprehensive program designed to help you develop practical skills in Excel, SQL, Power BI, Data Analytics, and Generative AI through hands-on learning and projects.
The program duration is 6 months, including guided learning, practical assignments, projects, and career preparation.
The program is suitable for students, graduates, working professionals, and beginners who want to build a career in Data Analytics.
No. The program starts with the fundamentals, making it suitable for beginners as well as learners with basic knowledge.
You will learn key analytics tools and technologies including Excel, SQL, Power BI, and GenAI.
Yes. The program focuses on practical exercises, assignments, projects, and real-world business scenarios to strengthen your analytical skills.
Yes. You will work on practical projects and case studies that can help demonstrate your skills through a professional portfolio.
Yes. Upon meeting the program requirements, you will receive a RaysTech Academy certificate.
If included in your selected program, you will receive an opportunity to gain practical internship experience along with an internship certificate.
Yes. The program includes interview preparation, mock interviews, and guidance to help you prepare for Data Analytics roles.
Yes. We provide career guidance, resume support, interview preparation, and assistance with relevant job opportunities.
Yes. You will receive guidance on resume building and LinkedIn profile optimization to improve your professional profile.
You can explore roles such as Data Analyst, Junior Data Analyst, Business Intelligence Analyst, and Reporting Analyst, depending on your skills and experience.
The program includes guided learning and mentor support, with practical sessions designed to help you understand and apply the concepts.
You can contact RaysTech Academy for enrollment details, batch schedules, fees, and the next available start date.
Discuss your background, explore the course, and get help choosing a learning plan that fits your goals.
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