FutureStack: Data Science & GenAI Course

MODULE 01: Data & Programming Foundations

Learners Will Build:

• Data ingestion and preprocessing pipelines using Python

• Exploratory Data Analysis (EDA) workflows on real datasets

• SQL-based data extraction and reporting queries

Key Outcomes:

• Clean, preprocess, and structure real-world datasets

• Perform exploratory analysis to identify trends, anomalies, and data issues

• Write analytical Python and SQL code for data-driven problems

MODULE 02: Statistics & Machine Learning for Business

Learners Will Build:

• Regression, classification, and clustering models

• Feature engineering and preprocessing pipelines

• Model evaluation and comparison reports

Key Outcomes:

• Select appropriate ML techniques for business use cases

• Train, evaluate, and compare machine learning models

• Interpret model outputs and explain results to stakeholders

MODULE 03: Analytics, Visualization & Insights

Learners Will Build:

• Interactive dashboards using Power BI

• Business-focused analytics reports

• Insight-driven data storytelling presentations

Key Outcomes:

• Translate analytical results into business insights

• Build dashboards to support data-driven decision-making

• Communicate findings clearly using visual and narrative techniques

MODULE 04: GenAI & RAG for Data Applications

Learners Will Build:

• GenAI-powered data assistants

• Document-based RAG chatbots

• AI-enhanced analytics applications

Key Outcomes:

• Integrate GenAI into data and analytics workflows

• Build RAG-based applications over enterprise datasets

• Combine machine learning results with LLM-driven insights

MODULE 05: Deployment & Full-Stack Thinking

Learners Will Build:

• Deployed analytics and GenAI applications

• End-to-end data pipelines with AI interfaces

• Integrated dashboards connected to AI services

Key Outcomes:

• Deploy Data Science and GenAI applications end-to-end

• Design full-stack data and AI solutions

• Present production-ready, business-aligned applications

Capstone: Data Science + GenAI Application

Capstone Deliverable:

• Business intelligence platform with AI insights

• Data-driven decision support system

• GenAI-powered analytics dashboard

Capstone Outcome:

• Own a data problem from ingestion to deployment

• Apply Data Science and GenAI in a unified system

• Deliver a fully functional, deployable application

Get Future-Ready with the Newest AI Tools

• Python

• Pandas

• NumPy

• SQL

• Jupyter

• Hugging Face

• scikit-learn

• seaborn

• Power BI

• TensorFlow

• Keras

• FAISS

• LangChain

• Git

• GitHub

• Graduation in any stream (B.E., B.Tech, B.Sc, B.Com, B.A., BBA, BCA, etc.)

• Students currently pursuing graduation are also eligible

• Basic understanding of mathematics or logical reasoning is helpful

• No prior coding or Data Science experience required