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Top 10 Data Science Courses In Greece With Placements

Data science can be used to transform raw data into actionable intelligence by arranging it into useful and practical rows and columns that aid in the storage, processing, analysis, and presentation of data in the simplest feasible way to draw conclusions about patterns. Greece’s booming IT sector has resulted in a major increase in demand for Data scientists. If you want to enroll in Data Science courses in Greece, check out this list of top institutes that offer the course, along with all the important details.

List of best data science courses in Greece

Who is a Data Scientist?

A Data Scientist is a professional in the field of science whose role entails gathering information, analyzing and interpreting data, and coming up with recommendations for an organization.

The position of a data scientist involves some characteristics of several conventional and information technology positions; mathematician, scientist, statistician, and computer programmer.

It is a multidisciplinary field that comprises the application of machine learning, predictive modeling, etc along with scientific methodology.

While undertaking data science activities, data scientists typically have to process and analyze data as they undertake hypothesis formation and validation, inference, and analysis on various aspects including customers and markets, financials, cyber threats, exchange, equipment, and medical analyses.

In most business organizations, the role of a data scientist entails searching for data that contains valuable information for the organization such as patterns that businesses can use to predict consumer behavior, opportunities to generate extra revenue, schemes to identify fraudulent transactions, and more.

They also engage in other beneficial data analysis with healthcare facilities, educational institutions, governmental organizations, sports clubs, and other kinds of establishments.

Roles And Responsibilities of a Data Scientist

As the name suggests, the data scientist is at the helm when it comes to data science applications in organizations. They are often expected to identify intelligence that would foster enhanced marketing communication, effective client relations, better procurement systems, and suitable business plans and strategies.

In doing so, they process a set of quantitative and/or qualitative data, depending upon the requirements of a particular application. They might also be expected to navigate data on their own without necessarily focusing on a particular business case to work on.

In that case, a data scientist requires a certain level of expertise in the data as well as expertise in the business to ask questions; perform analysis work, and avail insights to business executives on potential alterations in business operations, products, or services. The roles and responsibilities of a data scientist include the following:

  • Converting certain parameters or variables into a form that could be analyzed in science applications.
  • Using various types of data analytical tools to identify regularities, trends, and associations of available datasets.
  • Calculating and identifying new possibilities by using statistical and predictive equations on these data sets.
  • Telling stories with numbers, data visualization, creating analytical dashboards, and producing reports.
  • Consequently, data scientists play many other important roles such as assisting in setting and communicating guidelines on how to gather, process, and analyze data in organizations.
  • However, some data scientists create AI technologies for internal or customer use, such as conversational AI, operational AI, AI robots, and other self-driven autonomous objects, including hardware for self-driving vehicles.

Must check the other best courses in Greece:

Qualities of a Good Data Scientist

The aptitudes that we are talking about as part of data scientists’ personal attributes and soft skills include intellectual curiosity, critical thinking, healthy skepticism, intuition, problem-solving, and creativity.

Another important skill is the ability to effectively communicate and work with other individuals. Data scientists usually collaborate with other members of the data science and science team, including data engineers, and more junior data analysts, and may often need to interact with other business teams.

The employment market demands data scientists who are capable of communicating well with business managers, executives, and other employees and contractors who may be interested in new ideas to make sense of new and old data. They also require leadership skills and the managerial world to provide direction for decision-making in organizations based on information.

Why Should One Become a Data Scientist?

The field of data science is booming with opportunities. The growth of big data means that besides large technology giants, everyone eventually needs data scientists and analysts. With the development of data science techniques within organizations of different sizes, there is a need for skilled professionals in this promising field.

The possibility of working in different fields, creating decisions, solving problems, and making meaningful contributions to a plethora of industries is a great potential of the data science profession. Data science specialists are rewarded for their highly technical skill set with lucrative wages and numerous career possibilities at both large and small organizations across various industries.

Data science specialists with the necessary expertise and education may make an impact at some of the world’s most forward-thinking firms. Developing specialized talents within the data science industry can help data scientists stand out even more.

Machine learning professionals, for example, employ advanced programming skills to develop algorithms that collect data in real time and alter their learning to better prediction performance. This makes it a great time to consider pursuing data science as a career.

List Of Top 10 Data Science Courses In Greece

COURSEFEESDURATION
IIM SKILLS€ 1105 + 18% Tax11 months
The American College of Greece€ 9,7201 year
Epsilon CollegeAvailable on request80 hours
Bolton University€ 9,2501 year
Aristotle University of Thessaloniki€1,8002 years
The Aegean College IT SchoolAvailable on request3 years
The University of Piraeus€4,5001.5 year
The International Hellenic University’s€ 3,5001.5 years
Kapodistrian University of AthensAvailable on request1.5 Years
University of DerbyAvailable on request1.5 years

1. IIM SKILLS

IIM SKILLS provides comprehensive data science courses in Greece that are skillfully produced and arranged by industry specialists to accommodate both novices and working professionals.

Recognizing the significance of job preparedness, their data science course content is closely related to industry best practices, giving you a solid foundation for a long-term career.

This course explains the fundamentals that will ensure you have all of the knowledge you need to build a solid basis for a career in data science. A dedicated mentorship staff is there and well-equipped to help you on your way to a successful career in data science.

This is what distinguishes their data science training program in Greece.

COURSE CURRICULUM

  • Statistics in Data Science
  • Data Science (AL & ML)
  • Data Science Using SQL
  • Data Science Using Power BI
  • Data Science Using Python
  • Data Science Using Tableau
  • R For Data Science
  • Data Science Using Alteryx

CONTACT DETAILS

Phone number- +919580740740

Email id- [email protected]

Website- https://iimskills.com/

2. The American College of Greece

The American College of Greece is one of the premier data science institutes in Greece. They are offering the MS in Data Science program, which gives advanced knowledge and practical skills in big data science.

Students will learn how to turn real-world data into insights, solutions, and tools that lead organizational decision-making, and they will be able to obtain a degree in Business Intelligence and Data Mining from SAS.

Their data science courses in Greece are a well-designed degree program that prepares students for professional careers in information technology, particularly in processing large amounts of data, identifying patterns in data, making predictions, and effectively visualizing and communicating data to help organizations make decisions.

This data science training program in Greece provides participants with a well-calibrated, theoretical, and practical synthesis of applied mathematics, computer science, statistics, and business core concept knowledge skills.

It also allows learners to choose between a professional path suitable for immediate professional application and a research path suitable for advanced undergraduate study and research. Students must complete 12 graduate courses for 36 US credits.

Students must select between two tracks: a professional path that leads to an SAS professional certificate and project work with an organization, or a research track, which is suited for in-depth postgraduate study at universities or working in major organization research departments. It is one of the best data science institutes in Greece.

COURSE CURRICULUM

  • 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 Science
  • Capstone Project
  • Research Pathway
  • Advanced Machine Learning
  • Program Level Competencies

CONTACT DETAILS

Website- https://www.acg.edu/

3. Epsilon

Epsilon’s data science courses in Greece are designed to explain the concepts and techniques utilized in modern data analysis systems in a commercial setting. The data science training program in Greece analyzes and deepens the function of a data analyst, as well as how data science and business intelligence (BI) work.

It also delves into the data ecosystem, exploring databases and data warehouses and identifying essential companies/suppliers. The Epsilon curriculum covers the data ecosystem and numerous on-premise and cloud tools, as well as big data platforms such as Hadoop, Hive, and Spark.

The curriculum is taught by specialists with substantial field experience and includes topic-specific lectures in an immersive style that integrates core tool principles with practical implementations via live demonstrations and laboratories.

The data science training program in Greece is endorsed by the University of Northampton.

COURSE CURRICULUM

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

CONTACT DETAILS

Website- https://epsiloncollege.gr/

4. Bolton University

Bolton University is one of the leading data science institutes in Greece, offering an MSc degree program in Data Science and Technology. It is an excellent choice for people wishing to build or upgrade their data science abilities and find long-term employment in this new field of business and research.

Through their data science courses in Greece, students will learn the fundamentals of data analysis and how to use the most essential tools and approaches in the industry.

The Master’s degree is offered in partnership with the leading universities in the UK, as well as leaders and researchers with expertise in data analysis. Furthermore, students will be able to connect with other students and professionals from diverse sectors, build networks, and establish international forms of cooperation that will benefit them in their careers.

The key issues are the analysis and interpretation of massive amounts of data, the prediction and identification of patterns and trends in business data processing and management, machine learning, and the analysis of various types of data such as text, photos, and social media.

After completing the program, students will be able to work in a variety of industries, as data science is one of the fastest-growing professions today, with infinite employment options.

COURSE CURRICULUM

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

CONTACT DETAILS

Phone Number- +44 (0)1204 900 600

5. Aristotle University of Thessaloniki

The primary goal of Aristotle University of Thessaloniki, one of the leading data science institutes in Greece, is to create effective and important data management tools to support the rapid evolution of Web technology.

The degree provides valuable insight into the extraction, analysis, application, and management of information from large amounts of data utilizing a variety of scientific and programming methodologies.

One important component of their data science training program in Greece is that its structure and learning outcomes were developed in partnership with SAS.

COURSE CURRICULUM

  • Machine Learning
  • Technologies for Big Data Science
  • Distributed Data Management
  • Text Mining
  • Natural Language Processing
  • Social Network Analysis
  • Web Mining
  • Semantic Web
  • Mining from Massive Datasets
  • Decentralized Technologies
  • Advanced Topics in Machine Learning
  • Advanced Topics in Databases
  • Diploma Thesis

CONTACT DETAILS

Website- https://www.auth.gr/en/

6. The Aegean College IT School

The Aegean College IT School, in collaboration with the University of Essex, provides data science courses in Greece.  The comprehensive, modern program keeps up with the most recent improvements in computer lab technology.

This particular stream is a high-quality academic curriculum in the emerging IT industry, tailored to the needs of both the Greek and worldwide markets. In the first year of this data science training program in Greece, students take fundamental modules that are common to all streams.

In years two and three, students will study stream modules such as mobile applications and human-computer interaction. The Foundation Course in their Data Science Institutes in Greece is a three-year academic program that equips students with all of the knowledge and abilities required to become database administrators.

The well-designed modules address a wide range of computer theories, with a focus on data architecture and development. In addition, students learn about cybersecurity, object-oriented programming, and computer architecture.

COURSE CURRICULUM

  • 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.

CONTACT DETAILS

Website- https://aegeancollege.gr/

7. The University of Piraeus

The University of Piraeus is one of the leading data science institutes in Greece. They offer a Cyber ​​Security and Information Science program for computer science and IT professionals looking to advance their knowledge in computer and infrastructure security, as well as data and business science.

The data science courses in Greece feature rapid scientific advancement, high dynamism, and growing demand in Europe. The master’s data science training program in Greece lasts three semesters for full-time students and six semesters for part-time students.

The Business and Data Science track includes a number of advanced courses to meet their requirements. Students must finish multiple courses totaling 30 credits per semester. 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 Science (BDA)

COURSE CURRICULUM

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

8. The International Hellenic University

The International Hellenic University’s School of Science & Technology offers MSc in Data Science courses in Greece. The program’s goal is to provide higher education with a multidisciplinary approach to big data management, visualization, and processing, as well as related computing techniques and technologies.

Their data science training program in Greece is aimed at graduates and professionals who want to broaden their knowledge in the field. For full-time students, the Master’s program in Data Science lasts two semesters and one year, while part-time students take four semesters. Every subject is taught in English. The master’s degree requires 90 European credits, which graduate students gain by participating in all events in the field.

COURSE CURRICULUM

  • 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
  • Social Media and Online Community Management

CONTACT DETAILS

Website- https://st.ihu.gr/

9. Kapodistrian University of Athens

Their data science courses in Greece are taught by professors and researchers with experience in the program’s study areas, PhD students from other Greek and foreign institutions, and seasoned experts in the field. The master’s program “Data and Information Technologies” (DSIT) is interdisciplinary.

It seeks to improve the skills of its students by 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.

Experts will teach the fundamentals of mathematical models, algorithms, statistical analysis, image analysis, computational and structural biology, bioinformatics, and systems biology to improve human health as part of the program. They will also cover machine learning and artificial intelligence techniques.

Learners who graduate from this program are fully equipped with various vital abilities that will allow them to continue their research careers, usually to a Ph.D. level, join a variety of industrial laboratories and organizations, or even create their businesses in the aforementioned and related sectors.

10. University of Derby

The MSc Big Data Science courses in Greece are well-structured programs that teach students theoretical foundational principles as well as practical skills in a variety of Big Data Science-related disciplines.

The program’s primary focus is on mining, analyzing, exploiting, and managing information from large datasets utilizing diverse scientific methodologies and technological tools.

The data science training program in Greece is intended for STEM or business graduates seeking a solid foundation in Big Data Science, as well as data science professionals looking to broaden their knowledge and abilities in this specialized subject. As a result, this unique program provides promising employment options in academia or industry.

The program can be completed part-time over two years and consists of six 20-credit modules and a 60-credit thesis. The program’s framework and learning outcomes were built using SAS Science. The curriculum includes an autonomous scholarship module where you can complete a project in your chosen field.

COURSE CURRICULUM

  • Introduction to data science
  • Principles, pipeline, pre-processing
  • Common Machine Learning methods.
  • Neural networks and Deep Learning.
  • Advanced clustering techniques
  • DBSCAN, OPTICS
  • 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 development analysis models and applications.
  • Data development analysis with streaming data.

CONTACT DETAILS

Phone Number- +44 (0)1332 591044

Frequently Asked Questions

Is there a high need for data science courses in Greece?

Yes, in today’s environment, where every activity has been digitalized, online operations generate massive amounts of data. Data analysts are critical for processing and interpreting the country’s massive data.

Is coding necessary for data science courses in Greece?

No, coding is not required for the data science courses in Greece. You only need a basic understanding of Excel and statistics.

What is the minimum wage for a data scientist who has completed data science courses in Greece?

According to the most recent data, the average minimum pay for a data scientist in Greece is 48,200 euros.

Conclusion

Data science is becoming increasingly popular among both students and professionals. To make the cut and capture these difficult career possibilities, one must have the necessary abilities to outperform the competition and succeed ahead of others. To improve your professional profile, you can change your career path by becoming a certified data analyst by enrolling in any of the top data science courses in Greece mentioned in the list.

 

I’m Bhavni. I have completed my Masters in Clinical Psychology and am an enthusiast of everything related to the human brain. I hope to disseminate information about mental health, and well-being and help destigmatize it through my writings. I find my solace amongst the pages of a book and the lines of my writing. Books help me expand my creative thoughts and writing helps me articulate those thoughts. My ambition is to write stories and craft narratives that become a source of inspiration for others.

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