Gen AI-powered Data Science with Machine Learning

Module1: Excel & GenAI for Analytics

Study

• Excel For Business Problem-solving (CRISP-DM).

• Advanced Formulas, Logical Functions & Analytics Tools.

• Goal Seek, Scenario Manager & Data Tables.

• GenAI For Formula Generation, KPI Explanation & Summaries.

Create

• Superstore Sales Dashboard With GPT

• Automated Reports Using VBA + Gen AI

• Real-world Demand Simulation On Kaggle Datasets

Attempt

• 50+ Excel Interview Questions

• Problem-solving & KPI Explanation Practice

• Scenario-based Excel Tests

Study

• End-to-end ETL & Data Modeling.

• DAX Fundamentals to Advanced Use Cases.

• Power BI & Tableau Visual Analytics.

• Data Storytelling With Gen AI-assisted Narratives.

Create

• Home Loan Default Dashboard (DAX Case Study)

• Retail & Superstore Profitability Dashboards

• Dynamic Tableau Dashboards with Parameters & Joins

Attempt

• 100+ DAX & BI Questions

• Dashboard Critique & Storytelling Exercises

• BI Scenario-based Case Studies

• 4 Weekly Tests

Study

• Relational Databases & ER Modeling.

• Advanced SQL: Joins, Subqueries, Window Functions.

• Query Optimization Using Gen AI.

• SQL + Azure Cloud Integration.

Create

• RSVP Movie Database

• Marketplace Demand-supply Analysis

• Cloud-connected Analytics Workflows

Attempt

• 200+ SQL Interview Questions

• Complex Joins & Case-based Problems

• 1 Employability Test

• 2 Weekly Tests

Study

• Python Fundamentals, Logic & Data Structures.

• Functional Programming & OOP.

• Numpy, Pandas & Data Visualization.

• EDA Techniques with Genai Support.

Create

• Credit Risk Analysis

• Uber Trip Demand Analysis

• Stock Market Analysis Using Yfinance

Attempt

• 250+ Python Coding Questions

• OOP & EDA Interpretation Tests

• Leetcode & Real-dataset Challenges

• 1 Employability Test

Study

• Descriptive & Inferential Statistics.

• Hypothesis Testing, ANOVA & Chi-square.

• Statistical Interpretation Using AI Tools.

Create

• Customer Churn Distribution Analysis

• Bank Credit Scoring Statistical Report

Attempt

• Statistics Problem Sets

• Business Interpretation & Decision-based Tests

Study

• 18+ ML Algorithms & ML Pipelines.

• Feature Engineering & Hyperparameter Tuning.

• Model Explainability (SHAP, LIME).

• Deep Learning: CNNS, RNNS, LSTMS.

• Generative AI, RAG & LLM Workflows.

• Prompt Engineering For NLP, Vision & Agents.

Create

• Credit Risk & Churn Prediction ML Models

• Demand Forecasting System

• LLM-powered Apps (Chatbots, Semantic Search)

• Model Deployment Using Flask, Streamlit & Gradio

Attempt

• ML & AI Case-study Questions

• Model Evaluation & Explainability Tests

• End-to-end Capstone Project

• Python

• pandas

• NumPy

• matplotlib

• seaborn

• tableau

• Plotly

• Power BI

• scikit-learn

• Keras

• TensorFlow

• OpenAI

• Excel

• Azure

• gradio

• Lime

• Flask

• Hugging Face

• Streamlit

• MySQL

• GitHub

• SQL

• kaggle

• Shap

• Graduation in any science / tech stream (B.E., B.Tech, B.Sc, B.C.A., etc.)
• Students pursuing graduation in any of above streams are also eligible
• No coding background required

Data is changing the way businesses operate. Today, organizations use data to understand customer behavior, improve products, automate processes, and make faster business decisions and AI to improve productivity.

The Gen AI-Powered Data Science with Machine Learning course at the upGrad Learning Support Centre is designed to help learners build practical skills in Data Science, Artificial Intelligence, Machine Learning, and Generative AI.

These offline data science classes by upGrad include hands-on projects, industry-relevant tools, and practical learning. This Data Science course combines classroom learning with practical application, making it easier to build industry-ready skills.

Why Choose the Gen AI-powered Data Science with Machine Learning?

The demand for professionals who understand Data Science and AI continues to grow in India. This program focuses on practical learning so that you can confidently apply your knowledge in real-world business environments.

If you're looking for an AI and machine learning course that combines theory with practical learning, this program provides the right balance of technical training and hands-on experience.

Online vs Offline Data Science Course: Why Classroom Training Works?

Both online and offline learning can help you develop new skills. However, classroom learning provides a structured environment where learners receive immediate support, interact with mentors, and work on projects together.

Many learners prefer classroom-based data science classes because they offer better accountability, regular interaction with instructors, and practical exposure throughout the learning journey.

Syllabus & Curriculum of Gen AI-powered Data Science Course

The curriculum has been designed to help learners progress from core Data Science concepts to advanced Machine Learning and Generative AI applications. Every module combines theoretical concepts with practical implementation.

Throughout the program, learners apply concepts through practical exercises instead of only focusing on theory. This approach helps build confidence while working with real datasets and business scenarios.

Skills You Will Learn in the Data Science with Machine Learning Course

The program helps learners develop technical, analytical, and problem-solving skills that are relevant across multiple industries. Along with programming and analytics, you'll also learn how Generative AI is being used to solve modern business problems.

Career Opportunities After Completing the Data Science with Machine Learning Course

The demand for skilled Data Science professionals continues to grow across industries. Businesses are looking for professionals who can analyze data, build predictive models, automate workflows, and support decision-making using AI.

Completing a Gen AI-Powered Data Science with Machine Learning course can open opportunities across technology, finance, healthcare, e-commerce, manufacturing, consulting, and many other sector

Job Roles:

Some of the popular data science jobs include:

• Data Scientist

• Machine Learning Engineer

• Data Analyst

• AI Engineer

• Data Engineer

• Business Intelligence Analyst

• Analytics Consultant

Salary Expectations:

Salary in Data Science depends on factors such as skills, experience, job role, company, and location. The table below shows indicative annual salary ranges for some of the most popular Data Science careers in India.

Source: Glassdoor

Industries Hiring:

Professionals who complete this Gen AI-Powered Data Science with Machine Learning can explore opportunities in:

• Information Technology

• BFSI

• Healthcare

• Retail & E-commerce

• Manufacturing

• Consulting

• Telecommunications

• Logistics

• Education Technology

Who Should Enroll in This Gen AI-Powered Data Science Course?

This program is suitable for learners from different academic and professional backgrounds who want to build practical Data Science and AI skills.

• Graduates and final-year students pursuing technical courses like B.Tech, BSc, BCA, MCA etc.

• Working professionals planning to upskill.

• Professionals looking to transition into Data Science.

• Anyone interested in joining an AI and machine learning course with practical classroom learning.

Whether you're a beginner or have prior technical knowledge, the program follows a structured learning approach that helps you build skills step by step.

Why Data Science with Machine Learning is a High-Growth Career in India?

Data is now one of the most valuable business assets. Organizations across industries are investing in Artificial Intelligence, automation, and analytics to improve business outcomes. This has increased the demand for professionals who can work with data and build solutions.

Some reasons why many learners choose Data Science as a career include:

• Growing demand across industries.

• Wide range of career opportunities.

• Competitive salary packages.

• Opportunities to work with emerging AI technologies.

• Continuous learning and career growth.

• Ability to solve real business problems using data.

As businesses continue adopting AI and analytics, the demand for skilled professionals is expected to remain strong, creating more opportunities for data science jobs across different sectors.

Why Choose upGrad’s Learning Support Centre for the Gen AI-Powered Data Science with Machine Learning Course?

The Gen AI-Powered Data Science with Machine Learning course is designed to help learners build technical skills while preparing for real-world careers.

Along with structured data science classes, learners receive practical exposure through projects that strengthen their portfolio.

The program also supports learners preparing for a data science course with placement by helping them build interview-ready skills and professional confidence.

List of cities where we cater for the Data Science Course

You can take the Gen AI-Powered Data Science with Machine Learning course offline at an upGrad Learning Support Centre near you. These learning support centres are located in many cities across India, bringing classroom training right to your doorstep.

Certifications

After successfully completing the program and meeting the academic requirements, learners receive a data science certification that recognises the skills developed throughout the course.

These certificates will reflect your progress, credibility and skills:

A data science certification can strengthen your professional profile and showcase your practical learning to potential employers. Combined with project experience, it also adds value while applying for data science jobs.

Conclusion

The demand for professionals with expertise in Data Science, Machine Learning, and Generative AI continues to grow across industries. Learning these skills through practical classroom training helps you build both technical knowledge and real-world experience.

Whether you're looking for data science classes, an AI and machine learning course, or a certified data science course, the Gen AI-Powered Data Science with Machine Learning course at the upGrad Learning Support Centre provides structured learning, hands-on projects, and career support to help you move towards your professional goals.

By completing this certified data science course with industry projects, and a recognized data science certification, you will come out job-ready with skills that are highly relevant.