CBI & Big Data

30 480 




During this program, several topics will be covered that explain the purpose, application and benefits of Business Intelligence (BI) in modern corporate information systems. Starting from the basic concepts of data and data types, the ways of transformation and organization of data in data warehouses and multidimensional structures will be covered, which then represent the basis of support systems for business decision-making.

The concept of “big data” explains the data that differs in volume and characteristics from conventional data structures. The program also includes the concepts of data disclosure, especially in “big data”, through the process of “mining” data, i.e. the application of artificial intelligence algorithms and techniques to data, to discover information that was previously unknown or unexpected.

The techniques of visualization and presentation of the data arising from the Business Intelligence systems are covered as a separate chapter, in which the advantages of the graphic presentation of knowledge in the analysis of complex phenomena are emphasized.

Upon completion of the program, participants:

  • will get acquainted with the basic concepts of Business Intelligence such as data and data models; multidimensional databases, big data etc;
  • will learn what are and how to use automated reporting;
  • will learn techniques of data analysis in Business intelligence;
  • will learn tools of visualization and data representation in business intelligence systems;
  • will learn the concept of Artificial intelligence and machine learning;
  • will learn various prediction techniques applied in machine learning and artificial intelligence on different data types.

Registration Fee is included in the total fee of the program

Program structure


  1. Introduction to business intelligence systems (definition, concept and terminology, platforms, software, Power BI intro)
  2. Power Bi principles, logic and functionality (basic components, advantages and disadvantages, resource usage, data transformation)
  3. Power BI creation of basic reports
  4. Power BI using filters, visualizations and sharing
  5. Introduction to Big Data Systems (Definition, Concept and Terminology, Platforms, Software, Orange platform Intro)
  6. Orange principles, logic and functionality (basic components, advantages and disadvantages, use of sources, data transformation)
  7. Orange examples of using machine learning – supervised learning
  8. Orange examples of using machine learning – unsupervised learning


Dusko Todevski
Data scientist and scrum master, Banzae Dooel

Professional experience and proven expertise in many data science and AI corporate projects. Also a key influencer in the implementation of various business intelligence solutions.
Research interest focused on neural networks, reinforcement learning, econometrics and statistics.
Current engagement – doctoral student business economy UGD Shtip
Data scientist and scrum master @ Banzae Dooel
Previous relevant experience – Data scientist @ YAGEO – KEMET Corporation
Publications and papers – Numerous papers including machine learning, AI, econometrics and statistics with business application

Total hours:

  • 25

Teaching – location: 

  • Institute for Business and Management Heidelberg Skopje (N. Macedonia) / Heidelberg (Germany) or
  • ONLINE live learning platform from the ZOOM.US app

Lecture dynamics:

  • All program: once a week


Frequently Asked Questions

You can make the payment directly with a credit card on the website itself when purchasing a seminar or training or by paying an invoice in several installments, and after a previously signed agreement.

In the certification programs can enroll anyone who wants to qualify or retrain for thechosen field in the certification programs. For that purpose, having a minimum of prior knowledge in the chosen field of each candidate is a facilitating circumstance in studying the programs. Namely, the programs, except for the postgraduate master studies, do not require prior formal higher education.

Pillar 1 – Seminars are held live with physical presence at a predetermined location and time. Seminars are also held live online through the ZOOM platform. For each organized seminar, the way, time and place of the event are certain in advance, which is published on the website.

Pillar 2 – E-learning, lectures are held online. The first category is live lectures through the online ZOOM platform, the second category is through recorded video materials (when you buy a certain program, you get access to the video you bought).

Pillar 3 – Executive Certification are held live with the physical presence of the group following the program, with a predetermined schedule for lectures.

NOTE: the lectures with several months of training programs are held after working hours, once or twice a week (for each training is explained in detail in the information of the program itself).

Lecturers of all programs are domestic and international practitioners with at least 10 years of work experience in the fields they teach. In each of the programs there are expert lecturers who are available for you to “use” their know-how.

Each listener receives materials in the form of presentations, exercises, excels, books, additional (video and audio) materials and directions where they can get more information on topics related to the lectures for anyone who wants to expand their study.

At the German higher education institution Heidelberg Institute for Business and Management in Skopje has accredited (in 2018) 4 academic programs for master studies, as follows:

  • – MBA in Finance & Controlling (60 ECTS)
  • – MBA in Finance & Controlling (120 ECTS)
  • – Business Data Governance & Business Informatics (60 ECTS)
  • – Business Data Governance & Business Informatics (120 ECTS)

Eligible to enroll are all graduate students – “Bachelor” for one-year programs of 60 ECTS, who previously acquired 240 ECTS, while for enrollment in two-year master programs of 120 ECTS, students with previously acquired 180 ECTS have the right to enroll.


  • – upon completion of the master’s program MBA in Finance & Controlling (60 or 120 ECTS) students gain prestigious international certifications (2 of the above 4):

Risk Management (EU Certificate according to European Banking Federation in Brussels)
Credit Analysis (EU Certificate according to European Banking Federation in Brussels)
Compliance (EU Certificate according to European Banking Federation in Brussels)
Certified Controller (German Diploma from Germany)

  • – Completion of the master’s program – Business Data Governance & Business Informatics (60 or 120 ECTS) students gain prestigious international certifications (2 of the above 4):

Certificate CISA / ISACA Certificate
BI & Big Data (German Diploma)
Digital Design Communication
Certification for Developers


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