BeginnerNext Kickoff:
2025-05-26
Application Deadline:
2025-06-10
Level: Beginner
Total Session: 1596
Total Weeks: 38
Total Modules: 4
Language: TURKISH, ENGLISH
The course will have a flexible structure that can vary week by week to accommodate the learning content being covered. However, a typical week of the course involves certain activities and content. It should be noted that the course is available in a modular format for those who cannot follow the schedule described below. From Monday till Friday- 5 days in a week. Project work with instructor is between 18:00-22:00.
Self-Learning
Lessons
Teamwork
This module provides a solid foundation for individuals looking to enter the field of data science efficiently and effectively. Designed to equip participants with essential programming skills, it focuses on the key competencies required for data manipulation, analysis, and visualization. Throughout the course, participants will gain hands-on experience with fundamental Python libraries widely used in data science, including Pandas for data manipulation, NumPy for numerical computing, Matplotlib and Seaborn for data visualization. By the end of this module, student will have developed a strong understanding of Python’s role in data science workflows, enabling them to process and analyze data efficiently while preparing for more advanced topics in the field.
This module interests you?
Apply FormThis module provides a comprehensive, hands-on introduction to data analytics, equipping participants with the skills needed to extract meaningful insights from raw data. Designed by industry experts, the course follows a structured approach, guiding learners through the entire data analytics workflow—from data cleaning and transformation to visualization and business decision-making. Participants will work with a real-world dataset to solve a business problem using essential tools such as SQL for data retrieval and manipulation, Excel for data preparation and analysis, and Power BI for dynamic data visualization and reporting. By the end of the module, learners will have a solid understanding of fundamental data analytics concepts and practical experience with industry-standard tools, making it an ideal starting point for those looking to build a career in data analytics.
This module interests you?
Apply FormThis program aims to provide a machine learning-focused course that will equip participants with the skills to derive meaningful insights from data and develop decision support systems. Throughout the program, basic and advanced machine learning topics such as supervised and unsupervised learning techniques, regression and classification algorithms, clustering methods and model evaluation metrics will be covered in detail. Advanced techniques such as analyzing text data with natural language processing (NLP) and improving model accuracy with feature engineering will be covered. Participants will have the opportunity to apply the methods they have learned by developing various machine learning projects for real-world problems. In addition, managing large data sets with MS SQL, advanced data visualization and reporting skills with Power BI are also important components of the program. Upon completion of this program, participants will gain competence in effectively developing, optimizing and integrating machine learning models into the business world, providing a solid foundation for a professional career in data science.
This module interests you?
Apply FormThis 6-week intensive program is designed to equip participants with a solid foundation in AWS cloud technologies, covering key concepts in networking, Linux fundamentals, and core AWS services. The curriculum provides a comprehensive introduction to cloud computing architecture, enabling participants to understand and implement cloud-based solutions effectively. Throughout the program, learners will gain hands-on experience in deploying, managing, and optimizing applications using AWS’s powerful suite of services. By the end of the course, participants will have a strong grasp of AWS infrastructure, cloud security principles, and best practices, preparing them to work confidently with scalable, secure, and high-performing cloud environments.
This module interests you?
Apply FormThe first step in our career assistance will be to assist you in developing a solid CV and an impressive profile. Our experts will work with you to create a CV and profile that best exposes you and captures the attention of employers. This will help you build a solid foundation that will help you stand out during the job search process.
Second, we will assist you in improving your interviewing skills. You will be more confident and prepared for the interview this way. Our professional career coaches will conduct our interview simulation service, and you will be able to enhance your specific interview abilities with feedback.
Third, we will arrange seminars and events with the involvement of our graduates and industry professionals. These events will give you with a vital opportunity to stay current on industry trends and learn new knowledge. You will also be able to broaden your network by meeting business people.
Participants earn the Weiterbildung certificate, which is recognized by the German education system for its quality, and have the opportunity to present detailed content in their field of study to potential employers and prove themselves. Additionally, our participants are prepared for the internationally recognized certificates awarded by our partner companies with the support of euroTech Study.
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Requirements
