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Nine-month program covering Excel, SQL, Power BI, Tableau, Python, Machine Learning, Deep Learning, NLP, Generative AI, and AI-powered BI.
Learner rating
4.9/5
Course duration
9 Months
Learning modules
9 modules
Learning mode
Online/ Offline
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Your next step
Master in Data Analytics & Data Science with GenAI is a 9 month industry focused program covering Excel, SQL, Power BI, Tableau, Python, statistics, Machine Learning, Deep Learning, NLP, Generative AI, AI agents, and AI-powered BI. Through monthly projects, guided assignments, and a final capstone, learners develop practical analytics and Data Science skills while building a strong portfolio and preparing for interviews and placement opportunities.
Hands-on practice with Excel, SQL, Power BI, Tableau, Python, Machine Learning, Deep Learning, NLP, and Generative AI
Nine monthly industry projects plus a complete analytics, Data Science, and GenAI capstone
End-to-end path from Business Intelligence dashboards to AI agents and AI-powered BI
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
Work on 9 real-world Data Analytics, Data Science, and Generative AI projects — one each month, including a final capstone. Apply Excel, SQL, Power BI, Python, Machine Learning, Deep Learning, NLP, and GenAI to practical business problems while building a strong portfolio for interviews and career opportunities.
Purpose
Build an interactive Excel dashboard that analyses sales data using KPIs, PivotTables, charts, slicers, timelines, and Power Query.
Business Output
A management-ready MIS dashboard that provides a clear view of revenue, sales growth, regional performance, product performance, and overall business trends.
Purpose
Design a relational retail database and use SQL queries, joins, subqueries, aggregations, window functions, views, and stored procedures to analyse business data.
Business Output
A reusable SQL reporting system that converts transactional retail data into accurate insights about sales, customers, products, stores, and inventory.
Purpose
Combine SQL and Excel data, transform it with Power Query, build a data model, create DAX measures, and develop interactive dashboards in Power BI and Tableau.
Business Output
A secure executive dashboard that helps management monitor critical KPIs, compare performance, identify trends, and make informed business decisions.
Purpose
Clean and analyse customer or e-commerce data using Python, Pandas, NumPy, statistics, Matplotlib, Seaborn, and Plotly.
Business Output
A comprehensive customer-insight report that reveals purchasing patterns, customer behaviour, product trends, correlations, and business opportunities.
Purpose
Segment customers based on their behaviour and develop Machine Learning models that predict which customers are likely to stop using the company’s products or services.
Business Output
A customer-retention solution that identifies high-risk customers, creates actionable customer segments, and supports targeted marketing and retention campaigns.
Purpose
Build a Deep Learning model to classify images using CNNs or forecast future sales and demand using LSTM-based time-series analysis.
Business Output
An intelligent prediction solution that automates image classification or improves sales forecasting, demand planning, inventory management, and resource allocation.
Purpose
Develop an application that performs text preprocessing, sentiment analysis, summarization, document question-answering, or chatbot functionality using NLP and Generative AI.
Business Output
An AI-powered text intelligence solution that analyses customer feedback, summarizes large documents, automates information retrieval, and improves customer-service decisions.
Purpose
Build an AI business assistant using an LLM API, LangChain, RAG, AI agents, Natural-Language-to-SQL, and AI-generated dashboard narratives.
Business Output
An intelligent business assistant that allows users to ask questions in natural language, retrieves information, generates SQL queries, prepares reports, and produces executive summaries.
Purpose
Develop an end-to-end solution that integrates SQL, Python, EDA, Machine Learning or Deep Learning, NLP, Generative AI, and Power BI or Tableau.
Business Output
A complete AI-powered decision-support platform that converts raw business data into dashboards, predictions, recommendations, conversational insights, and executive summaries.
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
Build an analytics and Data Science portfolio with nine monthly projects, a complete capstone, resume and LinkedIn preparation, technical and HR mock interviews, and certification guidance from experienced mentors.
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 & Data Science.
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 & Data Science 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 9 month industry-focused program covering Excel, SQL, Power BI, Tableau, Python, statistics, Machine Learning, Deep Learning, NLP, Generative AI, AI agents, and AI-powered BI through hands-on learning and monthly projects.
The program duration is 9 months, including guided learning, practical assignments, monthly projects, a final capstone, and career preparation.
The program is suitable for students, graduates, working professionals, and beginners who want to build a career in Data Analytics, Business Intelligence, and Data Science.
No. The program starts with Excel and analytics fundamentals, then builds into Python, Machine Learning, Deep Learning, NLP, and Generative AI.
You will learn Excel, SQL, Power BI, Tableau, Python, statistics, Machine Learning, Deep Learning, NLP, and Generative AI tools such as ChatGPT, OpenAI API, LangChain, RAG, and AI agents.
Yes. The program focuses on practical exercises, assignments, monthly projects, and real-world business scenarios to strengthen your analytics, Data Science, and AI skills.
Yes. You will complete a project each month and a final capstone covering Data Analytics, Data Science, and Generative AI, so you can 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 and Data Science 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, BI Analyst, Data Scientist, Machine Learning Associate, AI Data Analyst, and Generative AI Associate, 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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