597 08 20 00
597 08 20 00
Business and Data Analytics is essential, as it helps businesses understand their customers better, improves sales and customer targeting, reduces costs, and allows the creation of better problem-solving strategies.
The skills you obtain as a Business Analyst are crucial and transferrable to many other professions, from IT to Business. This career path isn’t just a job, it’s an investment in your future.
Knowledge of English
B2+ (Upper-intermediate)
Soft Skills
Solid communicator, humble leader, and team player who is eager to learn
The course will give you everything to start your Business Analyst and Data Analyst career from scratch.
The Module consists of 3 submodules including BA entry-level, BA core, BA advanced, and a capstone project.
It will provide students with the necessary theoretical background to perform Business Analysis activities in the following knowledge areas as Needs Assessment, Business Analysis Planning, Communication with Stakeholders, and Requirements Elicitation.
The module includes 9 submodules and allows you to learn core data concepts, understand how to answer real-world questions using data, become a more confident data-driven decision-maker within your organization and learn about basic Data Analyst tools.
This module will help you sharpen your data skills and identify when data can be used to solve business challenges.
Project-based training helps to familiarize with real industry standards in IT projects, gain valuable practical experience, apply theoretical knowledge in real-life scenarios, and dive deep into core knowledge of enterprise IT project setup and their chosen specialization.
The Project-based training can be included to students' CV as their practical experience on real project at EPAM.
The Program will provide you with the cutting-edge knowledge and hands-on experience needed to start your career in IT as a Business Analyst. Here you will gain the required skills and become familiar with commonly used tools and approaches. After successful program completion, you will find yourself totally ready to start working on IT projects as a Business Analyst.
· Understand the business analysis core concepts and terms.
· Evaluate the current state of the organization and identify the opportunities for improvements.
· Plan for the business analysis activities, deliverables, and timeline.
· Identify, analyse, and build the effective collaboration with stakeholders.
· Prepare and conduct elicitation activities.
· Document business, user, solution, and transition requirements.
· Know the role of data in driving business and how it is converted into the business outcomes.
· Have deep understanding of the BI Analyst's role in the organization and know his responsibilities as well as the skill set required for analysts and explain what drives it.
· Have grounded skills of data governance and be able to use it in practice.
· Have deep understanding of data modeling.
· Perform data profiling and present its results.
· Have grounded skills and understanding of Data Visualization and Dashboard Design
Introduction to Business Analysis. Application Creation Process. The Software Development Life Cycle. Scrum in Action.
BA Onboarding.
Core Concepts. Business Analysis Activities.
Needs Assessment. Planning Business Analysis. Planning Stakeholders Engagement.
Product Requirements. Requirements Elicitation Process. Requirements Elicitation Techniques
Documenting Business Requirements. Documenting User and Solution Requirements. Requirements Validation and Verification.
Requirements Modeling. Business process modelling notation (BPMN). Unified modeling language (UML).
Overview of the Requirements Life Cycle Management. Requirements Prioritization Techniques. Requirements Traceability and Change Management.
Backlog Management. Risk Management. Scope Management.
Essential Soft Skills. Business Analyst’s Growth.
Design Core Concepts. UX Deliverables and UX Toolkit. BA and UX Collaboration.
Market Research. Solution Investigation. Vision, Strategy and Positioning. Business Case. Roadmap.
BI Analyst and Data Value Chain. Program Subject Areas.
Requirements Definition. Requirements Lifecycle. Domain Knowledge.
Project Discovery. Conducting Project Discovery. Requirement Elicitation.
Introduction to Requirements Development. Data Dictionary. Conceptual Data Models. KPI/Dimension Matrix. Wireframes, Mock-ups, Prototypes.
Requirements Documentation. Requirements Modelling.
What is data technology? Data Transformation. Data Analytics.
Data Governance in Use. The Building Blocks of Data Governance. Technical Capabilities for Data Governance. Data Governance Delivery. Data Governance Deliverables for BIA.
Data Profiling. Data Refresh. Source-to-Target Mapping.
Approaching Data Modelling. Data Modelling Levels. Normalization. Approaches to Data Modelling. Data Vault and Anchor. History Tracking Approaches.
Visualization in Data Analysis. Visual Perception Principles. Good Visualization Principles. Data Selection and Design Principles. Dashboard Design Principles.
Introduction. Before UAT. During UAT. After UAT. UAT Tips and Tricks of the Trade.
Introduction to Project Governance. Client Environment Management. Stakeholders Management. Change Management. Risk Management.
Introduction to the project
Familiarization with project processes
Familiarization with the project team
Bringing over 12 years of unwavering commitment to business analysis, he has cultivated a deep understanding of the financial and telecom domains.
In his capacity as a proficient analyst, he has led teams of business analysts in multiple projects, showcasing his hands-on expertise.
Moreover, he has a proven track record in delivering effective trainings and optimizing business processes.
Notably, he served as the Head of Business Analysis for prominent financial institutions, attesting to his exceptional leadership and profound industry knowledge.
The program includes three modules:
Business Analysis, Business Intelligence, and Project-based training (internship).
Business and Data Analytics is essential, as it helps businesses understand their customers better, improves sales and customer targeting, reduces costs, and allows the creation of better problem-solving strategies.
The skills you obtain as a Business Analyst are crucial and transferrable to many other professions, from IT to Business. This career path isn’t just a job, it’s an investment in your future.
Knowledge of English
B2+ (Upper-intermediate)
Soft Skills
Solid communicator, humble leader, and team player who is eager to learn
The course will give you everything to start your Business Analyst and Data Analyst career from scratch.
The Module consists of 3 submodules including BA entry-level, BA core, BA advanced, and a capstone project.
It will provide students with the necessary theoretical background to perform Business Analysis activities in the following knowledge areas as Needs Assessment, Business Analysis Planning, Communication with Stakeholders, and Requirements Elicitation.
The module includes 9 submodules and allows you to learn core data concepts, understand how to answer real-world questions using data, become a more confident data-driven decision-maker within your organization and learn about basic Data Analyst tools.
This module will help you sharpen your data skills and identify when data can be used to solve business challenges.
Project-based training helps to familiarize with real industry standards in IT projects, gain valuable practical experience, apply theoretical knowledge in real-life scenarios, and dive deep into core knowledge of enterprise IT project setup and their chosen specialization.
The Project-based training can be included to students' CV as their practical experience on real project at EPAM.
The Program will provide you with the cutting-edge knowledge and hands-on experience needed to start your career in IT as a Business Analyst. Here you will gain the required skills and become familiar with commonly used tools and approaches. After successful program completion, you will find yourself totally ready to start working on IT projects as a Business Analyst.
· Understand the business analysis core concepts and terms.
· Evaluate the current state of the organization and identify the opportunities for improvements.
· Plan for the business analysis activities, deliverables, and timeline.
· Identify, analyse, and build the effective collaboration with stakeholders.
· Prepare and conduct elicitation activities.
· Document business, user, solution, and transition requirements.
· Know the role of data in driving business and how it is converted into the business outcomes.
· Have deep understanding of the BI Analyst's role in the organization and know his responsibilities as well as the skill set required for analysts and explain what drives it.
· Have grounded skills of data governance and be able to use it in practice.
· Have deep understanding of data modeling.
· Perform data profiling and present its results.
· Have grounded skills and understanding of Data Visualization and Dashboard Design
Introduction to Business Analysis. Application Creation Process. The Software Development Life Cycle. Scrum in Action.
BA Onboarding.
Core Concepts. Business Analysis Activities.
Needs Assessment. Planning Business Analysis. Planning Stakeholders Engagement.
Product Requirements. Requirements Elicitation Process. Requirements Elicitation Techniques
Documenting Business Requirements. Documenting User and Solution Requirements. Requirements Validation and Verification.
Requirements Modeling. Business process modelling notation (BPMN). Unified modeling language (UML).
Overview of the Requirements Life Cycle Management. Requirements Prioritization Techniques. Requirements Traceability and Change Management.
Backlog Management. Risk Management. Scope Management.
Essential Soft Skills. Business Analyst’s Growth.
Design Core Concepts. UX Deliverables and UX Toolkit. BA and UX Collaboration.
Market Research. Solution Investigation. Vision, Strategy and Positioning. Business Case. Roadmap.
BI Analyst and Data Value Chain. Program Subject Areas.
Requirements Definition. Requirements Lifecycle. Domain Knowledge.
Project Discovery. Conducting Project Discovery. Requirement Elicitation.
Introduction to Requirements Development. Data Dictionary. Conceptual Data Models. KPI/Dimension Matrix. Wireframes, Mock-ups, Prototypes.
Requirements Documentation. Requirements Modelling.
What is data technology? Data Transformation. Data Analytics.
Data Governance in Use. The Building Blocks of Data Governance. Technical Capabilities for Data Governance. Data Governance Delivery. Data Governance Deliverables for BIA.
Data Profiling. Data Refresh. Source-to-Target Mapping.
Approaching Data Modelling. Data Modelling Levels. Normalization. Approaches to Data Modelling. Data Vault and Anchor. History Tracking Approaches.
Visualization in Data Analysis. Visual Perception Principles. Good Visualization Principles. Data Selection and Design Principles. Dashboard Design Principles.
Introduction. Before UAT. During UAT. After UAT. UAT Tips and Tricks of the Trade.
Introduction to Project Governance. Client Environment Management. Stakeholders Management. Change Management. Risk Management.
Introduction to the project
Familiarization with project processes
Familiarization with the project team
Bringing over 12 years of unwavering commitment to business analysis, he has cultivated a deep understanding of the financial and telecom domains.
In his capacity as a proficient analyst, he has led teams of business analysts in multiple projects, showcasing his hands-on expertise.
Moreover, he has a proven track record in delivering effective trainings and optimizing business processes.
Notably, he served as the Head of Business Analysis for prominent financial institutions, attesting to his exceptional leadership and profound industry knowledge.
The program includes three modules:
Business Analysis, Business Intelligence, and Project-based training (internship).