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Top 10 Data Analytics Courses in Greece With Placements

Transforming data into actionable intelligence by organizing raw data into useful and practical rows and columns that help to store, process, analyze, and present data in the easiest possible way to get the conclusions of trends can be done through analytics. With the growing IT sector in Greece, there is a significant growth in demand for Data Analysts in the country. If you are interested in taking the extensive Data Analytics courses in Greece then check this list of top institutions offering the data analytics course along with all valuable key details.

List of best data analytics courses in Greece

What Is Data Analytics?

Data analytics is the interpretation and breakdown of data into business intelligence to maintain a connection with the customer. From large-scale analysis to discovering trends and implementing statistical techniques to process data samples and organizing ICT data for reporting and data is the work of data analysts.

Data analysis is performed using programming languages like Excel, Python, Scala (in data science), R, and/or SDL/SQL. Tableau, C++, or Java. These are the most important and powerful tools commonly used to create spreadsheets to record and perform financial analysis.

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  The List of Top 10 Data Analytics Courses in Greece


Unlock your learning potential and embark on a revolutionary journey into the world of data analytics with the help of IIM SKILLS, a renowned data analytics training institute in Greece.

IIM SKILLS has designed the most comprehensive data analytics courses in Greece, keeping in mind the need of industry to help learners develop the skills required to complete the data analysis course modules.


The key focus is to strengthen these industry-relevant skills that will give students an edge over their competitors to find lucrative job opportunities in the market. By the end of this course, students will develop key skills: Excel in SQL concepts such as SQL command, query tool as well as command for Python concepts, including the nuances of lists, sets, additions, branches, dictionaries, objects, and classes.

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

Learners will get to learn how to use Python programs using variables, conditionals, loops, functions, working, loading, and saving data with Pandas, NumPy, managing data frames in Pandas, and managing machine learning with Scikit-Learn.

IIM SKILLS data analytics courses in Greece include all essential tools and software applications that enable learners to excel in demonstrating professionalism in the workplace and advancing their careers.


Under the supervision of IIM SKILLS experts, this course is designed to suit the participants of all levels whether fresher, mid-level, or advanced positions in the field for professionals of various educational levels who are seeking to uplift their careers.

Course Details

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Eligibility Requirements

  • Bachelor’s degree in any discipline.
  • Sound knowledge of computer
  • Prior knowledge of statistics and mathematics would account for an advantage.

The Key Features of IIM SKILL

  • 6 Months course with 2 Months of Non-Paid Internship
  • 160 Hours of Lectures
  • 100+ Hours Practical Assignments
  • Hands-On Tool Based Learning
  • 7+ Live Projects
  • 10+ Case Studies
  • Master 7+ Tools
  • Interview Guarantee
  • Lifetime access to LMS
  • Flexible hours of study

Contact information

+91 9580740740

[email protected]

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2. The American College of Greece

The American College of Greece is the outstanding data analytics Institute in Greece providing MS in Data Science, a cutting-edge program that provides advanced knowledge and practical skills in big data science. Students will learn how to transform real-world data into insights, solutions, and tools that guide organizational decision-making, and learners will have the opportunity to earn a degree in Business Intelligence and Data Mining at SAS.

The Masters of Science in Data Analytics is a well-designed degree program that nurtures learners for professional careers in information technology, especially in processing large volumes of data, finding patterns in data, making predictions, and effectively visualizing and communicating data, to facilitate organizational decision making.

The main Highlight of this data analytics training program in Greece is their efforts to make learners develop expertise in processing various types of data, including business transaction data, textual data, and images.

The program provides participants with a well-calibrated, theoretical, and practical synthesis of applied mathematics, computer science, statistics, and business core concept knowledge skills as well as allows learners to follow a professional path suitable for immediate professional application or a research path suitable for advanced undergraduate study and research.

Students must complete 12 graduate courses totaling 36 US credits. Students have to choose one of two paths: a professional path leading to an SAS professional certificate and project work with an organization; or a research track, ideal for in-depth postgraduate studies at universities or working in research departments of large organizations.

Eligibility Requirements

The program is ideal for fresh college graduates of information technology, engineering, economics, and science, or working professionals in IT.

Students who graduated from different backgrounds, such as business or social sciences, can also apply.

The Core Curriculum of Data Analytics Training Program in Greece

  • Introduction to Big Data
  • Exploring and Analyzing Data
  • Applied Machine Learning
  • Data Visualization & Communication
  • Semantic Web
  • Big Data in Business
  • Storing and Retrieving Data
  • Search Engines and Web Mining
  • Machine Vision in Data Science
  • Natural Language Processing
  • Professional Pathway
  • SAS Platform for Business Analytics
  • Capstone Project
  • Research Pathway
  • Advanced Machine Learning
  • Program Level Competencies

What Students Can Expect After Successful Completion of This Program?

  • Evaluation of the techniques for storing and processing big volumes of data.
  • Transaction of business data to apply the specific methods.
  • Analysis of the basic machine learning tools and techniques to apply the relevant methodology.
  • Articulation of business obstacles using data science techniques.
  • Formulation of ideas and arguments and communicate them effectively in a business context.



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3. Epsilon College

Epsilon’s data analytics courses in Greece aim to introduce the theory and techniques used in modern data analysis systems in a business environment. The data analytics training program in Greece provides analysis and deepens the role of a data analyst and how data analytics and business intelligence (BI) work, dives into the data ecosystem and explores databases and data warehouses, discovers key companies/suppliers.

Data ecosystem and explores various on-premise and cloud tools and introduces big data platforms such as Hadoop, Hive, and Spark, which are part of the Epsilon curriculum.

The program is taught by professionals with extensive experience in the field and includes topic-specific lectures in an immersive approach that combines key tool concepts with practical applications through live demonstrations and laboratory sessions. The Data Analytics degree program is endorsed by the University of Northampton

The Content of the Program

  • Business Intelligence
  • The Data Analytics Process
  • The Data Ecosystem – Data Structure
  • The Data Ecosystem – ETL
  • The Data Ecosystem – Big Data
  • Data Warehousing and Mining
  • Visualising Data

The Key Takeaways of the Program

  • All students gain free access to Epsilon Net subscription services and Online Bank.
  • Free availability and free use of all Epsilon material
  • Full Support the students and Alumni to achieve career aspirations as a graduate

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4. Bolton University

Bolton University is the leading data analytics Institute in Greece, offers an MSc degree program in Data Analytics and Technology, and is an ideal choice for those looking to develop or improve their data analytics skills and secure long-term employment in this new field of business and science.

In the data analytics courses in Greece, students will acquire skills in the basic principles of data analysis to leverage the most important tools and methods in the field.

The Master’s in Data Analytics courses in Greece are one are offered in collaboration with the best universities in the UK, leaders, and researchers who are experts in the field of data analysis. In addition, students will have the opportunity to collaborate with other students and professionals from various fields, create networks, and create international forms of cooperation that can help them in their careers.

The Key topics include analysis and interpretation of large volumes of data, prediction, and discovery of patterns and trends in business data processing and management, machine learning, and analysis of different types of data text, images, social media, etc.

Upon completion of the program, students will have the opportunity to work in a wide range of industries as Data analytics is one of the fastest-growing professions today and the career opportunities are endless.


The Core Module of the Program

  • Data Science
  • Big Data Technologies
  • Research Methods
  • Masters Project
  • Solution Design and Ethical Practice


The full-time program is 12 months with an extra 6 months for thesis writing and the part-time course is 24 months with 6 months for thesis writing.

Entry Requirements

An undergraduate Honors degree in Computer Science, Software Engineering, Business, Management, or any related subjects.

IELTS 6.0 or equivalent

What Students Can Expect From Bolton University?

  • Blend technical knowledge with administrative and organizational skills.
  • Modules designed with strong practical contents.
  • Flexible program suitable for working students.
  • Teaching staff with excellent knowledgeable background and professional experience.

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5. Aristotle University of Thessaloniki

The main aim of the Aristotle University of Thessaloniki, a premier data analytics Institute in Greece is to provide Efficient and significant data management tools to sustain the rapid evolution of Web technologies.

The M.sc program specializing in Data and Web Science of the university offers valuable insight into the extraction, analysis, use, and manage information from big data using various scientific techniques and programming tools.

A key aspect of the program is that its structure and learning outcomes were designed in collaboration with SAS.

The Core Modules of the Program

1st Semester

Machine Learning, Technologies for Big Data Analytics, Distributed Data Management, Text Mining and Natural Language Processing, Social Network Analysis

2nd Semester

Web Mining, Semantic Web, Mining from Massive Datasets, Decentralised Technologies, Advanced Topics in Machine Learning, Advanced Topics in Databases

3rd Semester

Diploma Thesis


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6. Aegean College

The Aegean College IT School, in partnership with the University of Essex, offers an Advanced Undergraduate Computing program leading to the BSc (Hons) Data Analytics courses in Greece. Aegean College is a member of the Oracle Academy, which allows students to access an extensive library and obtain professional accreditations.

The comprehensive, modern program is in line with the latest developments in the field of computer labs. This particular stream is a high-quality academic program in the emerging IT field, adapted to the needs of the Greek and international markets.

In the first year of study, students attend core modules that are common to all streams. In years 2nd and 3rd, students will cover stream modules such as mobile applications and human-computer interaction.

The Foundation Course in Data Analytics Institute in Greece is a three-year academic program that provides students with all the necessary knowledge and skills needed to be database administrators.

The well-designed modules cover a wide range of computer theories with an emphasis on data architecture and development. In addition, students gain information about cyber security, object-oriented programming, and the architecture of computer systems.

Course Duration

3 years

Course language


Entry Requirement

High school degree/ IB

Degree Recognition


The Course Content of the Program

  • Introduction to Programming
  • Systems Analysis and Design
  • Digital Systems and Computer Architecture-Core Module.
  • Application Development
  • Introduction to Web Development
  • Database Development.
  • Web Application Programming
  • Computer Networks and Security
  • Data Science
  • Python for Data Science.
  • Big Data and Data Science.

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7. University of Piraeus

The University of Piraeus is the prominent data analytics Institute in Greece that has designed the Cyber ​​Security and Information Science program to serve computer science and IT professionals who wish to enroll in a computer science graduate program and learn about the latest advances in computer and infrastructure security and data and business analytics.

These departments have rapid scientific development, great dynamism and constantly increasing demand in Europe. The duration of the master’s data analytics courses in Greece is three semesters for full-time students and six semesters for part-time students.


The Business and Data Analytics track consists of several advanced courses to fulfill their obligations. Learners must complete several courses totaling 30 credits per semester.

There are 7 courses during the 1st semester and 6 courses during the 2nd semester. As optional subjects, students will have the option to choose 1-2 subjects from other chapters, for a maximum of 30 ECTS per semester. The third semester is dedicated to a thesis on the latest information science topic, supervised by one of the track supervisors.


The Program Provides a Master’s Degree (MSc) in Cybersecurity and Information Science in the Following Three Ways

  • Information and Communication Systems Security (ICSS)
  • Embedded Systems Security and Reliability (ESSR)
  • Business and Data Analytics (BDA)


1.5 year full-time

Start Date

Mid- October



The Data Analytics and Machine Learning Curriculum in Data Analytics Training Program in Greece

  • CDS110: Big Data Management
  • CDS111: Computational Tools for Business Analytics
  • CDS112: Algorithms and Complexity
  • CDS115: Deep Learning
  • Second Semester:
  • CDS207: Mathematical Methods for Business Analytics
  • CDS208: Deep Learning (with Applications in Cybersecurity and Analytics)
  • CDS209: Geospatial Data Management and Analytics
  • CDS210: Visual Analytics
  • CDS213: Graph and Network Analytics
  • CDS214: Time-Series Analytics and Forecasting

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8. International Hellenic University

The MSc in Data Analytics courses in Greece are being offered by the School of Science & Technology department of the International Hellenic University.

The goal of the program is to provide higher education with a multidisciplinary approach to the management, visualization, and processing of big data as well as related topics of computing techniques and technologies and is aimed at graduates and professionals who wish to broaden their knowledge in the field.

The Master’s program in Data Science consists of two semesters and one year Master’s. degree preparation for full-time students and four semesters for part-time students. All courses are taught in English.

Ninety European credits are required to complete the master’s degree, which are earned by graduate students participating in all activities in the field.


Eligibility Requirements

A STEM degree (Science, Technology, Engineering, and Mathematics) is considered compatible with the program. However, other degrees will be considered if you have a good background in statistics/mathematics and a good understanding of databases and basic programming concepts.

The Course Content

  • Advanced Database Systems
  • Data Science for Business
  • Theory and Practice
  • Machine Learning Principles and Concepts
  • Programming for Data Science
  • Statistical Methods for Data Science
  • Advanced Machine Learning
  • Data Mining
  • Time Series Forecasting
  • Big Data and Cloud Computing
  • Consulting Project
  • Exploratory Data Analysis and Visualization
  • Information Retrieval
  • Knowledge Management in the Web
  • Multimedia Data Analysis
  • Elective Natural Language Processing and Text Mining
  • Social Media and Online Community Management

The program Fees


9. Kapodistrian University of Athens

The NKUA data analytics courses in Greece are taught by professors and researchers from the above departments who have experience in the study areas of the program, doctoral students from other Greek and foreign institutions, and experienced experts in the field as well.

The master’s program “Data and Information Technologies”. (DSIT)” is intensively interdisciplinary. It aims to strengthen the skills of its student, focusing on data science, big data, artificial intelligence, applied mathematics, statistical methods, and their applications in bioinformatics, computational biology, biomedical informatics, and life. sciences in general.

The program focuses on topics related to the management, processing, analysis, and software development of massive or complex data, in addition to machine learning and artificial intelligence techniques, fundamentals of mathematical models, algorithms, statistical analysis, image analysis, computational and structural biology, bioinformatics, and systems biology to improve human health will be taught by the experts.

Learners who graduate from here are fully equipped with several essential skills that will enable them to continue their research careers, usually to a Ph.D., join a wide range of industrial laboratories and organizations or even start their own companies in the above and other related fields.

10. University of Derby

The MSc Big Data Analytics courses in Greece are thoughtfully structured program that provides students with theoretical fundamental concepts besides practical skills in a wide range of topics related to Big Data Analytics.

The main focus of the program is mining, analyzing exploitation, and managing information from big data using various scientific techniques and software tools.

The key highlight of the program is that its structure and learning outcomes were developed in collaboration with SAS and taught by expert faculty members of the University of Derby.


The data analytics training program in Greece is designed for STEM or business graduates who wish to pursue a necessary background in Big Data Analytics, as well as for data analytics professionals who want to expand their knowledge and skills in this specialized field. Therefore, this special program offers exciting career opportunities in academia or industry.

The program can be studied part-time over 2 years and consists of six 20-credit modules and a 60-credit thesis. The key aspect of the program is that its structure and learning outcomes are designed with SAS Analytics. The entire program is joined by a comprehensive project through an independent scholarship module in an area of ​​your choice.

The Module of the Program

  • Introduction to data analytics
  • Principles, pipeline, pre-processing
  • Common Machine Learning methods.
  • Neural networks and Deep Learning.
  • Advanced clustering techniques
  • Applications on Text/audio/video data mining.
  • Lab hours with Python, R.
  • Introduction to mathematical modeling and optimization
  • Constrained optimization
  • Convex and non-convex data hulls. Optimization techniques for data analysis Frontier analysis and data envelopment analysis models and applications.
  • Data envelopment analysis with streaming data.


Below are the FAQs related to data analytics courses in Greece.

1. Are data analytics courses in Greece high in demand?

Yes, in today’s world, where every process has moved to digitization, online processes generate a huge amount of data. To tackle the big data of the country, data analysts are very much needed to process and interpret data.

 2. Is coding necessary in data analytics Courses in Greece?

No, coding is not necessary in the data analytics courses in Greece. You just need a basic knowledge of Excel and statistics.

3. What is the minimum salary for a data analyst after completing data analytics courses in Greece?

 According to the latest data, the average minimum salary for a data analyst in Greece is 48.200 €.


Data analytics is on the rise and has become a popular choice among students and professionals. To fill the selection and seize these demanding job opportunities, one must acquire the ready skills to surpass the competition and succeed ahead of others. However, to enhance your professional profile, you can give your career a new direction by becoming a certified data analyst by joining any decent data analytics courses in Greece.

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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