Have you ever come across projects where a business analyst cannot make a single step without deep technical knowledge? How deeply should a business analyst know the principles of API work, be able to describe data transformations, understand cloud technologies?
The "Advanced Technical skills for Business Analyst" training will be useful for business analysts working on complex technical projects where it is necessary to be able to describe the details of implementation, API, big data processing, etc.
The training consists of the following modules:
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API and Web Services: HTTP protocol, cookies, authorization
- HTTP request and response: structure, headers
- How cookies and caching work
- Authentication methods
- Web service types: REST, SOAP, gRPC, WebSockets
- How web services are described -
API: Postman Practice
- Demo of Postman's main elements and functions
- Example of a collection of requests and data-based checks
- Example of requests for working with data
- Creating your own collection -
API: OpenAPI Specification Practice
- Demo of API reference documentation created based on the OpenAPI specification
- OpenAPI Specification Syntax
- Tools for working with OpenAPI, contracts
- Creating documentation for one method of one endpoint -
Working with Data
- Roles: Data Analyst, DataOps, BI Analyst, etc.
- Concepts of ETL, OLAP/OLTP, DW, ML/AI, RAG, and KDD
- Where and how data is stored
- MongoDB basics and query features in document databases -
Working with data: Practice of working with visualization requirements
- Definition of graphic grammar, visualization description parameters
- Examples of complex visualizations and aspects of their description
- Creating a visualization description -
Working with data: Practice of working with different data structures
- Demo of an automatically generated data flow diagram and the corresponding ETL process
- Features of parsing non-relational data into relational data and vice versa
- Modeling collections/tables in relational (MySQL or other) and non-relational (MongoDB) DBMS
- Writing SQL and MongoDB queries -
Working with data: Practice of exploratory data analysis
- Demo of a reproducible study, corresponding tools (Jupyter laptops), and exploratory data analysis
- Getting started with Jupyter
- Introduction to Data Analysis with Python and Pandas -
Cloud Computing, Containers, Orchestration
- Deployment Models: IaaS, PaaS, SaaS
- Cloud Platform Fundamentals: AWS, Azure, GCP
- General Responsibility Model in the Cloud
- Cloud Migration Models
- Demo Application Deployed on Cloud Infrastructure
- Concepts and Fundamentals of Orchestration and Containers
- How the System Deployment Environment Affects Requirements
Objectives of the "Advanced Technical Skills for Business Analyst"
Target Audience:
This course is useful for business analysts of all levels who want to improve their knowledge of systems analysis and the description of complex systems based on APIs, data processing, and cloud infrastructure.
The program aims to help participants:
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Gain theoretical and practical knowledge of working with APIs and data processing systems.
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Develop a deeper understanding of the architectural aspects of building APIs, web services, data warehouses, cloud infrastructure, and systems integration.
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Understand interaction methods in terms of functional interaction (API) and data transformation (ETL).
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Learn to formulate requirements for complex technical system components: APIs, data warehouses, cloud services, etc.
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Write requirements for BI systems
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Get the opportunity to participate in architectural decision-making.
Trainer
Hanna Kaplun, certified by ISTQB AL Test Manager and Test Analyst, AWS Cloud Practitioner, Microsoft Azure Data Scientist Associate, Ukrainian IT Awards-2020 finalist in the quality assurance category, speaker at professional conferences, 15+ years of experience in quality assurance and business analysis, 10+ years of experience as a trainer and mentor.
Dates of the
Advanced Technical skills for Business Analyst
October 13 - November 5, 2026
Twice a week (Tuesday and Thursday) 18:30-21:30
20-24
participants in the group
24 h.
Lectures + Practice
3
Individual homeworks
Course Schedule
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13 Oct (Tuesday) 18:30 – 21:30
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15 Oct (Thursday) 18:30 – 21:30
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20 Oct (Tuesday) 18:30 – 21:30
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22 Oct (Thursday) 18:30 – 21:30
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27 Oct (Tuesday) 18:30 – 21:30
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29 Oct (Thursday) 18:30 – 21:30
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03 Nov (Tuesday) 18:30 – 21:30
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05 Nov (Thursday) 18:30 – 21:30
Working language of the training: Ukrainian
Format: Online
Questions and answers
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How to pay for participation?
- Payment is made through a bank; payment details and a contract template will be sent to you after registration.
What will happen if I miss a class?
- This is highly undesirable, but we record all classes and provide access to the recording.
What language is the training in?
- The working language of the training is English. The language of presentations is English.
Will I receive a certificate?
- Yes, you will receive a certificate from Art of Business Analysis confirming that you have completed the training.
Who will conduct classes/check homework?
– Hanna Kaplun, author of this training
Yevheniia Lohvynovych
TEMABIT Software Development
Business Analyst
Completed training in the following modules (+practice):
- APIs, web services, Postman
- Working with data, data structures (SQL vs NoSQL, JSON), data analysis (Python and Pandas)
- Cloud computing, containers, orchestration
Thank you, Hanna Kaplun, for the comprehensive information and interesting cases.