Create data flow diagrams, entity-relationship diagrams, and unified modeling language diagrams to visualize data, system architecture, and workflows

Evaluate existing IT systems by assessing system architecture, features, performance, and UI/UX to identify inefficiencies and propose improvements

Conduct cost-benefit analyses, operational feasibility studies, and risk assessments to compare IT solution alternatives and recommend solutions

Integrate system analysis, modeling, and evaluation techniques in a project to propose a digital transformation strategy for a business

Job-ready skills in project and stakeholder management that employers value in a good business analyst

The fundamental concepts of project management, including project phases, communication strategies, stakeholder, and risk management

How to apply various project management tools to effectively manage projects, conduct risk assessments, and plan communication strategies

How to implement effective communication strategies to engage stakeholders throughout the project lifecycle

Job-ready skills in process modeling and requirements gathering for business analysis without any prior experience

How to apply BABOK principles in real-world scenarios

Methodologies for process mining and utilizing tools for comprehensive analysis to derive actionable business insights

Effective system modeling by creating entity-relationship diagrams (ERDs), data flow diagrams (DFDs), and applying unified modeling language (UML)

Build job-ready skills in cloud native, microservices, containers, DevOps, and Agile employers are looking for in just 6 weeks.

Create RESTful APIs for modern web development and deploy them with Docker containers. 

Implement DevOps and CI/CD practices for streamlined development and deployment. 

Apply Agile and Scrum best practices for iterative, efficient software delivery.

Importance, benefits, and core components of Enterprise Data Architecture (EDA) and popular data architecture frameworks.

How to design and implement Enterprise Data Architectures for specific use cases.

How to develop and implement policies and procedures, such as data retention policies and operational standards.

How to plan and execute data system migrations and modernizations.

Build valuable applied data storage, integration, and migration skills employers need. 

Gain hands-on experience using industry-specific data tools.

Demonstrate you understand data-related best practices and can apply methodologies through industry-standard processes. 

Showcase your ability to solve problems related to data processes that you can talk about in interviews.

Create test plans and traceability matrices linking business needs to outcomes, and coordinate testing among QA teams, developers, and stakeholders

Build deployment checklists with clear launch steps, go/no-go criteria, rollback plans, and data validation techniques

Define key system metrics to support post-launch tracking, organize response plans, and guide improvement through retrospectives

Create a Testing and Release Kit with test strategy, validation checklist, and support plans for post-launch success

Describe the five foundational principles of cybersecurity and the Confidentiality, Integrity, and Availability (CIA) triad

Summarize the different areas that a cybersecurity architect must adopt to develop a secure enterprise solution

Discuss the different security domains, including IAM, endpoint security, network security, application security, and data security

Demonstrate your proficiency in recommending methods to improve network security in a given scenario

Apply prompt engineering and generative AI tools to gather business requirements, produce documentation, and create systems architecture diagrams

Create structured systems analysis, solutions architectures, optimized processes, interactive dashboards, and improved stakeholder communications

Generate and improve workflows by producing Business Process Model and Notation diagrams, process flowcharts, and journey maps using generative AI

Integrate gen AI with business analysis platforms, such as Jira, Confluence, Miro, and Power BI, to improve deliverable quality and efficiency