Detailed Course Outline
Course Outline: Digital Business Acumen
Module 1: Enterprise Digital Vision and Roadmap
- Identify the enterprise Digital Transformation vision and roadmap
- Understand the importance of Business Model Innovation in the context to enterprise’s Digital Transformation journey.
- Define business outcomes and strategic initiatives
- Determine your Digital Skills, Talent, Technology and Organizational requirements
Module 2: Research and Plan
- Assess the Digital Maturity of incumbent’s organization
- Assess Product and Services Digital readiness
- Assess the Digital technology readiness
- Assess the ecosystem and partnership readiness
- Assess the Digital cultural (‘AI ready culture’) readiness
- Planning the Digital journey based on Digital Maturity
Module 3: Prepare and Blueprint
- Best practice and mistakes to avoid
- Identify the workforce requirements, technologies and capabilities
- Address security, organizational and change management needs
- Build your “coalition of the willing
Module 4: Implement & Scale
- How to measure and validate success in DX projects
- Impact of Change Management
- Significance of Knowledge Management
- Learn to scale to the rest of the enterprise
Course Outline: 21st Century Business skills
- Design Thinking
- Critical Thinking
- Communication & Empathy
- Collaboration
- Creativity and Attitude
- Planning and Organizing
- Customer-centric Focus
- Working with Tools & Technology
- Dynamic self-initiated re-skilling
- Professional Networking
- Ethics
- Mindfulness
- Adaptive Mindset
Course Outline: Data Analytics
- Statistical methods for Data Analysis
- Machine Learning Essentials
- Data Mining
- Text Data Mining
- Predictive Analytics
- Data Visualization, Modeling & Optimization
Course Outline: Data Management
- General principles in Data Management & Organization
- Data Management Systems
- Data Management & Enterprise Data Infrastructure
- Data Governance, Privacy & Ethics
- Large Scale Data storage
- Digital libraries & Data archiving
Course Outline: Data Science Engineering
- Big Data infrastructure & technologies
- Infrastructure & Platforms for Data Science applications
- Cloud computing technologies for Big Data & Data Analytics
- Big Data Systems organization & engineering
- Data Science Applications design
Course Outline: Domain Analytics – Finance, Energy (Oil & Gas), Healthcare or Manufacturing
- Domain-specific Analytics Foundations
- Domain-specific organization & enterprise management
Course Outline: Advanced Data Analytics
- Graph theory
- Information theory
- Deep Learning
- Anomaly detection
- Time series analysis
- Risk Simulation & queueing
- Network Optimization
Course Outline: Advanced Data Management
- Advanced Big Data storage infrastructure and operations
- Storage architectures, distributed files systems (HDFS, Ceph, Lustre, Gluster, etc.)
- Data storage redundancy and backup
- Data factories, data pipelines
- Cloud based storage, Data Lakes
- Digital libraries and archives organization
- Information Retrieval
- Data curation and provenance
- Search Engines technologies
Course Outline: Advanced Data Science Engineering
- Infrastructure, applications and data security
- Data encryption and key management
- Access Control and Identity Management
- Security services management, including compliance and certification
- Data anonymization
- Data privacy
- Models and languages for complex interlinked data presentation and visualization
- Agile development methods, platforms and tools
- DevOps and continuous deployment and improvement paradigm
- Decision Analysis and Decision Support Systems
- Predictive analytics and predictive forecasting
- Data Analysis and statistics
- Data warehousing and Data Mining
- Multimedia information systems
- Enterprise information systems
- Collaborative and social computing systems and tools