Gen AI-Powered Data Analytics

Module 1: 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 + GenAI

• 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 GenAI-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 GenAI

• 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

• Python
• Pandas
• NumPy
• Seaborn
• Tableau
• Plotly
• Power BI
• Matplotlib
• SQL
• Excel
• MySQL
• Azure
• Kaggle
• ChatGPT
• 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
• A basic understanding of mathematics or logical reasoning is helpful
• No prior coding or analytics experience required

Data analytics has moved beyond spreadsheets and static dashboards. Businesses today expect analysts to work with AI-augmented tools that speed up insights, automate reporting, and support faster decisions. upGrad's GenAI Powered Data Analytics Course is built for exactly this shift.

This 4-month data analytics course combines core data analytics skills, Excel, SQL, Python, Power BI, and Tableau, with practical Gen AI applications for automation and insight generation. This blog covers the curriculum, skills, career outcomes, and everything else you need to know before enrolling.

Why Choose the GenAI Powered Data Analytics Course?

Most data analytics courses teach tools in isolation. This program takes a different approach as it teaches end-to-end data analysis while weaving in Generative AI application wherever it adds real value, from automating repetitive data tasks to accelerating business insights.

Learners work on 10+ live projects using real datasets, including Uber trip analysis, movie data case studies using SQL, and loan approval analysis. The program includes a guided internship with 1:1 mentorship, masterclasses from industry professionals, and career support backed by 1,200+ hiring partners. For learners who want data analytics skills that stay relevant as AI tools become standard in business workflows, this program offers a practical, application-first path.

Online vs Offline GenAI Powered Data Analytics Course: Why Classroom Training Works?

Self-paced online courses often lack the structure needed to build strong data analytics skills. Classroom data analytics courses solves this through live doubt resolution, structured batches, and consistent peer accountability that keep learners on track.

Syllabus & Curriculum of the GenAI Powered Data Analytics Course

The curriculum spans core data analytics tools and Generative AI applications over 4 months, including 150+ hours of classroom training and 80+ hours of placement preparation. Learners progress from foundational data handling to AI-augmented analytics and dashboarding.

• MS Excel with GenAI – Data cleaning, formulas, and AI-assisted automation for reporting

• SQL with Cloud Integration – Querying, database fundamentals, and cloud-based data handling

• Python for Data Analysis – Data manipulation, exploratory data analysis (EDA), and scripting

• Statistics & Probability – Hypothesis testing and statistical foundations for analytics

• Power BI & Tableau – Interactive dashboard building and data visualization

• Generative AI for Analytics – Using GenAI tools for automation, insight generation, and reporting

• Capstone & Case Studies – End-to-end projects combining all tools on real business datasets

Skills You Will Learn in the GenAI Powered Data Analytics Course

By the end of the program, learners gain hands-on, job-ready data analytics skills, including:

• Data cleaning, transformation, and formula-based automation in Excel

• Writing SQL queries and working with cloud-integrated databases

• Using Python for data analysis and exploratory data analysis (EDA)

• Applying statistics and hypothesis testing to real business problems

• Building interactive dashboards in Power BI and Tableau

• Using Generative AI tools to automate reporting and generate insights

• Presenting data-driven findings clearly to business stakeholders

• Managing end-to-end analytics projects from raw data to final dashboard

Career Opportunities After Completing the GenAI Powered Data Analytics Course

Completing this program opens multiple career paths across analytics and business intelligence roles, with growing demand for professionals who can combine traditional data skills with applied GenAI tools.

Job Roles

Salary Expectations

Salaries for data analytics roles in India vary by experience, company size, and skill specialization, with GenAI proficiency increasingly seen as a differentiator.

Industries Hiring

• IT services and consulting firms

• BFSI (Banking, Financial Services, and Insurance)

• E-commerce and retail

• Healthcare and pharmaceuticals

• Manufacturing and logistics

• SaaS and technology startups

Who Should Enroll in This GenAI Powered Data Analytics Course?

This program is designed for a wide range of learners, including:

• Freshers and recent graduates looking to start a career in data analytics without prior technical experience

• Working professionals seeking to upskill in data analytics and GenAI while continuing their job

• Learners returning from a career break who want a structured, mentor-guided path back into the workforce

• Professionals wanting to scale up from manual reporting roles into data-driven analytics positions

• Non-technical professionals from commerce, marketing, or operations backgrounds transitioning into analytics

• Business owners who want to apply data-driven decision-making using modern GenAI tools

Why GenAI Powered Data Analytics is a High-Growth Career in India?

Businesses across every sector are generating more data than ever, driving sustained demand for analysts.

• GenAI adoption is creating new expectations for faster, automated reporting and insight generation

• Data analytics remains one of the most accessible entry points into the broader data and AI career track

• Companies increasingly value analysts who can combine traditional tools with applied GenAI skills

• Analytics roles offer clear growth paths into business intelligence, data science, and AI-focused positions

• Salaries in data analytics scale meaningfully with tool proficiency and applied project experience

Why Choose upGrad's Learning Support Centre for the GenAI Powered Data Analytics Course?

Most multinational companies and startups are actively seeking professionals in Gen AI and Data Analytics due to their valuable skills.

• 100% classroom-based, instructor-led training with real-time doubt resolution

• 10+ live projects using real datasets like Uber trip analysis and loan approval data

• Guided internship with 1:1 mentorship for hands-on, real-world exposure

• 360° career support including resume building, mock interviews, and interview preparation

• Access to a network of 1,200+ hiring partners and placement drives

• Flexible morning, evening, and weekend batches for students and working professionals

• Merit-based scholarships of up to 50% and flexible payment options

List of Cities Where We Cater for the GenAI Powered Data Analytics Course

upGrad's Learning Support Centres bring classroom-led data analytics course closer to learners across India.

Certifications

Completing the GenAI Powered Data Analytics Course comes with multiple credentials that add credibility to your professional profile, beyond the core program certificate.

Conclusion

For learners who want practical, job-ready data analytics skills combined with applied Generative AI tools, upGrad's GenAI Powered Data Analytics Course offers a well-rounded, classroom-led path. With hands-on projects, guided internship support, and strong career assistance, it's designed to help freshers, working professionals, and career-break returners build a genuinely future-ready analytics skill set in just 4 months.