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Top 10 Data Analytics Courses In Hungary With Placements

Keep one step ahead of the competition in Hungary’s remote employment market by mastering the most in-demand skills. Data analytics is one of the most demanding jobs that is increasing at an exponential rate. If you want to develop a career in the data sector, you’ve come to the perfect spot. Here is a list of the top institutes that provide data analytics courses in Hungary which help you to acquire the relevant skills and valuable insight to become competent enough for this profession.

List of best data analytics courses in Hungary

Types of Data Analytics

Descriptive analytics.

Data explains what is happening in descriptive analytics by summarizing data into clear numbers and presenting them visually. For example, any company or sector would like to understand its web traffic history in prior years.

Diagnostic analyses

Essentially, it explains why certain things are happening or have occurred by analyzing data patterns. For example, we’d like to understand why a specific product on a production line failed.

Predictive Analytics

To estimate demand and sales statistics, analyze data from similar products in conjunction with current societal trends. For example, a corporation may wish to collect data on how many customers are likely to purchase a new product item.

Prescriptive Analytic

They make comments about what steps should be performed to approve or deny transactions, such as using fraud detection in a banking system. Analyzing a customer’s previous behavior as well as a variety of transaction-related data.

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Given Below is the List of the Top 10 Data Analytics Courses in Hungary


IIM SKILLS is the leading institute that aims to train graduates with specific and competent data analysis skills to work as managers, consultants, and data analysts in companies.

The Comprehensive Data Analytics Courses in Hungary have created a road map that combines functional and sectoral knowledge with innovative and sustainable topics, preparing graduates to take leadership positions fully aware of economic, financial, technological, and social issues and environmental challenges.

The IIM SKILLS Data Analytics training program in Hungary conducted in English is a cutting-edge program that offers students 6 months of training in data analysis, along with an interdisciplinary approach and graduates equipped with innovative thinking, theoretical knowledge, and practical skills.

It provides students with experience and understanding of technological, economic, managerial, statistical, and sustainability skills. In Hungary, students will undertake data analytics courses that teach them basic data scientist tools and enable them to explore structured and unstructured data for the implementation of machine learning methods in finance.

The student develops critical skills to operate in the financial ecosystem by thoroughly familiarising himself with the theory and practice of innovation and sustainability.

Module NameImportant Topic
Module 1: Basic and Advance Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Overview of the Alteryx Course and Fundamental Concepts
Using the Select Tool to Rename Fields, Change the Data Type
Understanding the User Environment and Alteryx Settings
Filtering Data/Data Processing
Blending/Joining Data from Different Sources
Data Cleansing
Impute Values
Random Sample

The Key skills that students will develop by the end of this course include Excel SQL concepts such as the SQL command, the general query tool, objects and classes, Python programs using variables, conditionals, loops, functions, work with, load and save data with Pandas, NumPy, manage data frames in Pandas and manage machine learning with Scikit-Learn.

Course duration

6 months of course

2 months internship

The key highlights of the IIM Skills

  • Receiving a master’s certificate in data analytics
  • Lifetime access to the learning management materials
  • Experts in interpreting models and statistical data
  • Guaranteed internship
  • Job support

Course Fees

2,20,345.78 Hungarian Forint +18% GST

Contact information

+91 9580740740

[email protected]

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2. International Business School – Budapest

The new IBS Transformation Master Data Analytics courses in Hungary accept students from all diverse fields who want to become data analysts with a strong business foundation.

Through this platform, students acquire comprehensive IT skills to improve student employability and become more valuable members of the organization they work for.

The goal of the master program ITT for Business Data Analytics is to retrain professionals capable of working as junior and mid-level data analysts, knowing how to import, verify, clean, transform, validate, model, or interpret.

Various algorithms and IT tools can be applied to data that aligns with the company’s business objectives, depending on the situation and available data. Graduates of the program will be able to create reports with visualizations such as charts, graphs, and dashboards.

The program is therefore a change program aimed at those looking for career advancement or a career change with a strong business foundation.

Successful completion of the program will provide the skills mentioned below

  • Students to gain knowledge and understanding of the tools used in big raw data into useful business information
  • Artificial intelligence methods
  • Machine learning
  • Statistics and databases used to extract Content from a dataset
  • Techniques and existing systems used to structure data elements
  • The process of discovering problems with data, using quality indicators, measures, and metrics to design data cleaning and enrichment strategies according to data quality criteria

The Module of the Program

  • Principles and Practices of Global Business
  • Databases for Data Science and Analytics
  • Python for Data Analytics
  • Decision-making and Analytical Skills
  • Data Mining and Machine Learning
  • Business Intelligence for Data-Driven Management
  • Skills for Data Analysts
  • MIB Business Elective
  • Business Data Analytics Project
  • MIB Data Analytics Elective
  • Contents of module groups
  • Prerequisites
  • MIB Business Elective
  • Business and Accounting Fundamentals
  • Strategic HRM
  • Managing Global Brands
  • Team Management Skills
  • Market and Competition Analysis
  • MIB Data Analytics Elective
  • Data Science with R
  • Text Mining and Natural Language
  • Advanced Forecasting Techniques for Data Scientists
  • Quantitative Methods for Data Analytics
  • Business Data Analytics Project
  • Python


Tuition fee for the full program

€ 11,800

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3. EIT Digital Master School

EIT Digital School offers interdisciplinary master’s data analytics courses in Hungary that incorporate both theory and practice. They use a combination of group activities, and hands-on practical work on case studies to cover everything from the basics of data analysis to professional skills such as data collection data analysis techniques, data collection, data storage, data visualization, data pricing, and data protection.

Students will leave this program with the knowledge and skills needed to open up a variety of career opportunities. Their alumni can be found working in open innovation environments and leading technology companies. Some have even launched successful startups and consultancies.

The first year is the same for all entry points, with a focus on core courses that lay the foundation for students’ chosen technical program. During this first year, students also learn about business and management.

In the second semester classes regarding how technology can become a successful business. Students are also taught how to create and present a compelling business plan.

Students have the opportunity to take elective courses between the first and second years, our summer school program deals with business opportunities on a socially relevant topic. The second year offers a major and final project. Graduates of this data analytics Institute in Hungary receive diplomas from two universities and a certificate and technology from the European Institute of Innovation.

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4. Corvinus University of Budapest

The Corvinus University of Budapest is the leading data analytics Institute in Hungary which offers practice-oriented degree programs that provide you opportunities to explore these areas and acquire competencies in data modeling and data analytics.

The comprehensive data analytics courses in Hungary designed by Corvinus University will teach students how to Evaluate insurance claims with the help of machine learning, Optimise production processes by using machine learning algorithms, Detect factors influencing tax avoidance, and Identify fake news with Natural Language Processing (NLP) methods.

If students want to continue their academic journey in this field, they can apply for several Master’s and later PhD studies.

The Core Modules

  • Fundamentals of linear algebra (basic matrix operations
  • Equations of linear equations
  • Lines and planes
  • Fundamentals of multivariate calculus
  • Partial derivatives, gradient, finding maxima and minima of univariate and multivariate Basics of probability (conditional cells) theorem, correlation, covariance, binomial distribution, normal distribution)
  • Basics of Python programming.

Entry requirements

High school graduation

B2 Level English (see above)

Entrance exam:


Entrance exam description:

The Admission Board will evaluate the application materials GPA, English proficiency, letter of motivation, work/activity experience, and based on a shortlist.

Bachelor, full degree studies

Nominal duration

8 semesters (4 years) (240 ECTS)

Study language




Course code

Economic Science

Entry qualification

High school / secondary education (or higher)

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BME-VIK is a data analytics Institute in Hungary that offers “Data Science and Artificial Intelligence” which directly covers several HCIDA learning outcomes.

Two data analytics courses in Hungary comprise theoretical/technical knowledge in machine learning and deep learning, as well as two practical analysis labs and a complete workflow for data analytics, machine training, and AI product development, which are part of the MSc specialization DS-AI’s first year.

Year 2 of the DS-AI specialization focuses on human-centered intelligent data analysis. The Faculty of Electrical Engineering and Information Technology of Budapest University of Technology and Economics (BME) offers scholarships to the best students from non-EU/EEA countries enrolled in BME EIT Digital programs.

The scholarship is based on merit and the internship is based on a confirmed application submitted to the EIT Digital Master’s School.

The Core Curriculum of the Program

  • Artificial intelligence and ethics
  • Artificial Intelligence and Law
  • Innovation & Entrepreneurship Study
  • Diploma Thesis Design
  • Security of Machine Learning
  • Trustworthy AI and data analysis
  • Intelligent data analysis and decision support
  • Engineering Ethics
  • AI-based Man-machine Interaction
  • Artificial general intelligence


6.Eszterháyz Károly Catholic University

They give a general introduction to data analytics courses in Hungary which includes modelling and algorithms in data science, with a special focus on supervised learning methods.

The second part of the course covers advanced supervised learning techniques, including neural networks and ensemble methods, as well as unsupervised but not strictly Unsupervised (non-structural programming) techniques (especially clustering).

Students have the opportunity to define their own data science projects and work in groups throughout the semester. Lectures also include problem-solving lessons, Python programming exercises, and student projects in small groups.

The objective of the course is to provide a thorough introduction to data science with a focus on machine learning. Upon completion of data analytics courses in Hungary, the student will have chosen the appropriate algorithms to solve data science problems and develop, deploy, and test machine learning models.

The student is also able to analyze real-world data sets using complex data science methods. The course aims to provide the knowledge and skills necessary to pass a job interview at the workplace of a junior data scientist.

7. Etovos Lorand University

As part of the network, the e-learning (Faculty Of Information Technology) of ELTE has developed master data analytics courses in Hungary in collaboration with the technical departments of EIT Digital.  ELTE master’s programs are fully transferable according to the high-quality level of computer programs of leading European universities.

This data analytics Institute in Hungary focuses on techniques for analyzing large amounts of data and information systems that use them. The graduate knows how to plan and implement solutions that support real-time data-driven decision-making.

Students will discover knowledge of distributed computing ecosystems, including large-scale and in-memory database databases, as well as their components.

The study should also examine the development of open-source business intelligence and reporting tools for data from multiple sources, visual analysis tools and their parts, and the application of machine learning and data mining methods in real-time scenarios.

ELTE’s computer science program focuses on teaching the latest programming technologies through hands-on experience and applying knowledge to solve complex real-world problems.

The ability to design and analyze software systems, manage projects, and test/verify is expected of those who have earned a master’s degree in computer science. Additionally, Students study programming theory, computational models, software engineering, software quality and testing, functional languages, formal semantics, data mining, media planning, etc.

ELTE data analytics training program in Hungary offers professional experience and participation in joint research laboratories with leading international companies. industrial partnerships related to both master’s programs. The structure of the master’s program in computer science has three departments with different single and double degrees.


8. University of Debrecen

The Reformed College of Debrecen’s establishment in 1538 marked the beginning of higher education in Debrecen. Many faculties of data analytics courses in Hungary were established by the college as it developed over time. Later, individual schools and universities merged to reform what is now the University of Debrecen (UD).

The purpose of the data analytics training program in Hungary is to train experts who understand the characteristics of different types of data and the structure of complex data sets, to discover the relationships in it.

In addition to this, making the necessary transformations in the data into raw data to prepare them for analysis, and draw conclusions based on the data. based on data and modeling of real processes.

Upon completion of data analytics courses in Hungary, students will develop expertise in managing data applications, executing RandD-related tasks, and continuing with their doctoral studies.

Lecture, seminar: 40%

Practice: 60%


6-week internship

Academic discipline

Computer Science and Information Technology


Relevant bachelor’s degree in information technology

Duration: 4 semesters

ECTS credits: 120

Tuition fee: 7,500 USD/year

1st Year

  • Machine Learning Fundamentals
  • Statistical Foundations of Data Science Optimization in Data Science
  • Data Visualization Methods
  • Data-oriented Programming
  • Cloud Computing
  • Information Security
  • Data Ethics

2nd year

  • Modern Deep Learning Frameworks
  • Advanced Machine Learning
  • Advanced Reinforcement Learning
  • Big Data Technologies
  • Advanced Robotics
  • Self-driving Cars
  • AI Security
  • Financial Models
  • Genetics and Big Data

9. Budapest University of Technology and Economics

Budapest University’s program offers a distinctive combination of data analytics courses in Hungary along with computer science and business subjects. This includes programming, statistics with machine learning; big data and cloud computing; and information technology.

At the data analytics training program in Hungary, there are user case seminars, expert courses on text mining and deep learning, and a consulting project with an industry partner that is specific to their industry.

Candidates learn to use statistical analysis to find patterns and evaluate the past. and future business interventions Write code and use predictive analytics and causal models in this data analytics Institute in Hungary.

The curriculum of this data analytics Institute in Hungary will equip students with the knowledge of the Collection and analysis of data and turn it into actionable insights.

They will get to learn about the most important tools, frameworks, and platforms as well as techniques to implement production processes. Management of data-intensive business activities and generating insights from quantitative information from big data and other sources is the key skill that is required in data analysts.

Collaboration with software experts and quantitative analysts to present analysis clearly and effectively is the major feature of this program.


10. Óbuda University

University provides the opportunity to students to carry out basic to applied research in several different applied sciences with 17 undergraduate programs in the day and afternoon, 11 master’s programs, and 3 doctoral programs and specialties to meet the challenges of Industry 4.0 and according to the university’s strategy, which is mainly based on four pillars: robotics, health informatics, artificial intelligence, and cyber security.

The student during data analytics courses acquires deep technical skills in scalable data collection techniques and methods. Students will learn to use and develop tools and techniques that deal with data collection, processing, storage, transmission, analysis, visualization, and related concepts (such as data access, data pricing, and data protection).

This data analytics training program in Hungary is recommended for students, who already hold a bachelor’s degree in one of the three computer science, electrical engineering, or mathematics streams, and want to expand further.

The program aims to train specialists in the field of information technology based on a solid theoretical background. They nourish students with the skills to ensure they can participate in various areas of software, information systems, and system administration.


1. What skills does an individual need to become a data analyst?

There are ample amounts of skills required to become data analysts such as SQLData Visualizer – like Power BI or TableauExcel – this is a training wheel for data visualizers, Excel to process/clean and analyze data before transferring it to Tableau/PowerBI.

2. Can I take data analytics courses online?

Students and Professionals can learn data analytics courses through online courses and maybe even earn a data analysis certificate. The categories of data analysis vary depending on the goals set by the service provider, industry focus, and other factors.

3. What is the work of a data analyst?

The purpose of a data analyst is to answer specific questions or address specific challenges that have already been identified and known by the company.


Hungary hosted data analytics courses aimed at improving the skills of students to bring a good package with them. In addition, it provides an opportunity to practice and acquire all the necessary knowledge and skills, both practical and theoretical, which are most suitable for data science students.

Hello! I am Shruti Singh, a girl born in Jharkhand, presently living in Howrah (West Bengal), a simple graduate with a Bachelor of Science, currently preparing for competitive entrance exams. There is no such achievement I have made to be mentioned here, but I am making constant efforts to not let the rest of my valuable time slip away from my hands. My hobbies are: Reading books mostly self-help genre, drawing mandalas, listening to music, and watching creepy spookish horror movies as well as sci-fi, while travelling is still on my wishlist. I found myself best during meditation and developed an interest in gathering in-depth knowledge of the universe, the connected cosmos, science vs. spirituality, and geopolitics.

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