Data Strategy for Leaders
Executive Course Bootcamp
This intensive bootcamp empowers leaders to harness data as a strategic asset for driving innovation and business growth. Participants will explore data strategy design, AI integration, governance, and monetization while gaining hands-on experience with modern tools to enable data-driven decision-making and lead successful digital transformation initiatives.
Executive Education
Inspired Course
Duration
24 hours
Session Days
Weekdays
Weekends
Course Delivery
Classroom
Live Remote
Target Audience
Leaders, C-Level Executives, Directors, Heads
Level
Foundation to Intermediate
Cost
USD 199
* For corporate group training rates contact helpline
Bootcamp Features
Why to Learn Data Strategy for Leaders?
What Skills Will You Learn?
Who is this Course For?
Curriculum
▸ Introduction to Data Strategy
▸ What is data strategy?
▸ Constituents of a Successful Data Strategy
▸ Role of data as a strategic asset
▸ Commercializing Data
▸ Components of a data strategy
▸ Aligning data strategy with business goals
▸ Evaluating Data Strategy Maturity
▸ Creating a Data Strategy
▸ Executing a Data Strategy
▸ Pillars of Digital Transformation
▸ Digital transformation frameworks
▸ Data maturity models
▸ Digital Storytelling
▸ Structured and Unstructured Data
▸ Link Between Innovation and Digital Transformation
▸ Fundamentals of Blockchain and
▸ Cloud Computing
▸ Building data-driven culture
▸ Change management strategies
▸ Introduction to Data Orchestration
▸ Data Quality and Management
▸ Data Sources, Integration, and Storage
▸ Modern Data Stack and ETL Processes
▸ Modelling Schemes and Relational Modelling
▸ Data pipelines and integration
▸ Data lakes vs data warehouses
▸ Data Security and Monitoring
▸ Cloud data platforms
▸ Fundamentals of data science
▸ Modern Analytics for Business Intelligence
▸ Demystifying AI
▸ Supervised vs unsupervised learning
▸ Business use cases of AI
▸ AI-driven decision-making
▸ Advanced Data Science and Machine Learning
▸ Predictive, Prescriptive, and Descriptive Analytics
▸ K-Nearest Neighbour
▸ Decision Tree
▸ K-Means Clustering
▸ Introduction to Generative AI
▸ Use cases in business strategy
▸ AI-assisted analytics and reporting
▸ AI for decision support
▸ Different Ways to Monetize Data
▸ Benefits and Challenges of Monetization
▸ Types of data monetization
▸ Direct vs indirect monetization
▸ Privacy Regulations and Ethical Considerations
▸ Data Anonymization and Pseudonymization
▸ Identifying Monetization Opportunities
▸ Building a Data Monetization Strategy
▸ Data products and services
▸ ROI measurement