About the Course

As organizations increasingly adopt data, analytics, and artificial intelligence to drive smarter and faster decisions, early-career professionals with practical skills in data-based analytics, machine learning, and business intelligence are gaining a strong edge in the job market.

This program is designed as a career-focused, hands-on learning journey, helping learners build industry-relevant analytics and AI skills from the ground up. It covers the complete analytics lifecycle — from data exploration and predictive analysis to AI modelling and business-ready visualization.

Learners will gain practical exposure through:

• Real-world business case studies that mirror challenges faced by modern organizations
• Hands-on practice with Python and Power BI, enabling learners to build confidence with in-demand tools
• Interactive live sessions focused on applying concepts to real business scenarios and improving job readiness

The blended delivery model ensures flexibility, depth, and practical relevance, enabling learners to balance learning with academic or professional commitments.

This program is designed for students and early professionals, offering a structured pathway to build end-to-end analytics expertise through a combination of self-paced eLearning and interactive live virtual sessions.

Who Should Enroll?

This program is ideal for:

• Students aspiring to build careers in analytics, AI, and data-driven roles
• Working professionals with 1–5 years of experience seeking to upskill or transition into analytics roles
• Early-career professionals in finance, consulting, marketing, HR, operations, and technology

Key Learning Modules

Exploratory Analytics using Python: Build a strong foundation in data analysis, visualization, and statistical exploration.

Predictive Analytics using Python: Develop predictive models using regression, classification, and forecasting techniques.

AI & Machine Learning using Python: Understand and apply supervised and unsupervised machine learning algorithms to real-world problems.

Business Intelligence using Power BI: Create interactive dashboards and reports to support business decision-making.

Elective: Domain Analytics (Choose One):

• Marketing Analytics – Customer insights, campaign performance, and market analysis
• HR Analytics – Workforce planning, attrition analysis, and talent metrics
• Supply Chain Analytics – Demand forecasting, inventory optimization, and logistics insights
• Financial Analytics- Analyze financial statements, profitability, cash flows, and performance metrics using analytics tools.

The program is delivered by EY professionals, industry practitioners, and academic experts, ensuring strong alignment with real-world business and industry requirements.