Management Track: Data Science for Management

Our Management Track is specially designed for executives and business leaders who want to leverage data science for strategic decision-making. This program focuses on developing data literacy and the ability to lead data-driven organizations without requiring deep technical expertise.

Through our carefully structured 5-month curriculum, you'll gain the skills to evaluate analytics initiatives, understand how to implement data-driven strategies, and transform your organization through effective use of data science and analytics.

Program Overview

Management Track: Data Science for Management

Duration: 5 Months

Structure: 3 months core + 1 month projects + 1 month finishing

Fee: ₹30,000

For: Executives & business leaders

Develop data literacy for executive decision-making, master strategic application of data analytics, and learn to lead data-driven organizations.

Download Curriculum Apply Now

Course Objectives

✓ Develop data literacy for executive decision-making
✓ Master strategic application of data analytics
✓ Learn to lead data-driven organizations
✓ Build capability to evaluate and implement analytics initiatives

Month 1: Strategic Data Literacy

4 Weeks

The data-driven organization
Role of executives in data initiatives
Building a data culture
Data maturity assessment
Analytics strategy framework
Types of analytics: descriptive, predictive, prescriptive
Business metrics and KPIs
ROI of analytics initiatives
Data collection strategies
Data architecture for executives
Data collection and storage options
Data quality and governance
Technology stack considerations
Dashboard design principles
Executive reporting best practices
Interactive visualization tools
Making decisions from visuals

Mini Projects Workshop

Month 2: Financial Analytics & Marketing Analytics

4 Weeks

Financial data sources and structures
Financial performance metrics
Forecasting and financial modeling
Risk assessment and management
Investment analysis frameworks
Cost optimization analysis
Profitability analysis by segment
Financial anomaly detection
Cash flow forecasting
Financial dashboard development
Marketing data ecosystem
Customer acquisition metrics
Retention and loyalty analytics
Campaign performance measurement
Attribution modeling concepts
Customer journey analytics
Market segmentation techniques
Competitive intelligence analytics
Pricing analytics
Marketing mix modeling

Mini Projects Lab Work

Month 3: AI for Business Leaders & Building Data Teams

4 Weeks

AI capabilities and limitations
AI application evaluation framework
ROI calculation for AI initiatives
Competitive advantage through AI
Ethics and governance
AI readiness assessment
Use case prioritization
Build vs. buy decisions
Change management for AI adoption
Risk mitigation strategies
Data organization models
Roles and responsibilities in data teams
Data skills assessment and development
Outsourcing vs. in-house capabilities
Managing technical and non-technical collaboration
Creating a data culture
Data governance frameworks
Managing analytics projects
Talent acquisition and retention
Performance measurement for analytics

Mini Projects Workshop

Month 4: Capstone Project

4 Weeks

Identifying high-impact business problems
Creating an analytics strategy
Data-driven decision frameworks
Stakeholder analysis and engagement
Project charter development
Analytics maturity assessment
Resource planning and allocation
Technology stack evaluation
Implementation timeline and milestones
Risk assessment and mitigation
Organizational change requirements
Data governance implementation
Skills and capability development plan
Performance metrics and KPIs
Leadership communication strategy
Executive summary development
Business case refinement
Implementation roadmap finalization
ROI projection and validation
Compelling presentation development

Project Development

Month 5: Finishing School

4 Weeks

Industry transformation case studies
Platform business models and data
Digital transformation frameworks
Emerging technology evaluation
Competitive strategy in the data economy
Executive decision-making with data
Managing technical and non-technical teams
Strategic thinking in uncertain environments
Innovation management
Digital-era leadership principles
Workforce planning for analytics
Automation and human collaboration
Remote and distributed analytics teams
Continuous learning organizations
Ethical leadership in the age of AI
Strategic planning assessment
Capstone project presentation
Peer and executive evaluation
Personal leadership development plan
Certification and next steps

Final Assessment

Contact Information

Edathena Academy

CIIC, Crescent Engg. College
Vandalur, Tamil Nadu 600048

+91-98403-47570
eda@edathena.com

Operating Hours
Mon – Fri 9:00AM – 6:00PM

Connect With Us

Enquiry Now

Recognition of Excellence

EdAthena awards verified Certificates of Completion to students who successfully finish their courses. Each certificate includes the learner's name, course details, lecture and practice hours, and a unique GUID for verification. Our certificates, recognized by employers and institutions, validate the learner's mastery of required skills through lectures, assignments, and evaluations.

Our certification program is designed in collaboration with industry experts and aligned with current market demands. Learners gain practical experience through hands-on projects and real-world applications, ensuring they're well-prepared for industry challenges. The certification not only demonstrates technical proficiency but also showcases problem-solving abilities and project implementation skills valued by employers.

Ready to lead your organization with data-driven strategies? Apply now to start your executive data science journey.

Apply Now Call Us