Next Kickoff:
2023-10-04Application Deadline ends 2024-06-25
The Data Science course is an educational program that aims to discover the value of data. Data analytics systems and current technology modules have been prepared by an expert community. During the course, you will learn the entire process from expectations to analysis to reporting of results. Using popular programming languages such as Python and SQL, you will enhance your ability to explore, measure, and manipulate your data. Topics such as data visualization, machine learning, and data mining will also be covered. By the end of the course, you will have the skills to apply data discovery and analytics systems, enabling you to obtain valuable insights and make a difference in your career.
In summary, various methods such as lectures, hands-on projects, case studies, group work, online resources, guest speakers, and assignments/evaluations are used in data science education. These methods allow students to apply their knowledge and skills in the use of data science tools and techniques to solve real-world problems. The online-supported education is enriched by the exchange of experiences from industry experts who provide advice to students. The students' understanding levels are assessed through assignments and evaluations.
The educator demonstrates how to apply new concepts and abilities, encouraging students to ask clarifying questions and seek deeper comprehension, and tailoring the teaching method to the needs of the class.
Activities span from code snippets to real-world programs, allowing students to apply what they've learned. These hands-on experiences broaden their understanding and prepare them for careers in software development.
Group projects allow students to cooperate on large-scale projects while simulating real-world software development endeavors. They learn to collaborate in groups and develop sophisticated apps, which helps them advance their careers.
If there is no interest in mathematics and coding, the data science course can be challenging. However, it is designed for individuals without software experience and includes the necessary skills. Requirements: 1) Mathematical skills 2) Analytical skills 3) Basic computer skills 4) Programming skills (optional) 5) Willingness to learn.
We design students' career paths from the ground up. We prepare them for work by following a systematic program that includes everything from selecting the right course to providing quality education and teaching soft skills.
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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.
Day | Time | About |
---|---|---|
Monday |
13:45 - 16:45 (CET) 09:00 - 12:30 (CET) |
Self Learning Live Class (Online) |
Tuesday |
13:45 - 16:45 (CET) 09:00 - 12:30 (CET) |
Self Learning Live Class (Online) |
Wednesday |
13:45 - 16:45 (CET) 09:00 - 12:30 (CET) |
Self Learning Live Class (Online) |
Thursday |
13:45 - 16:45 (CET) 09:00 - 12:30 (CET) |
Self Learning Live Class (Online) |
Friday |
13:45 - 16:45 (CET) 09:00 - 12:30 (CET) |
Self Learning Teamwork CMS |
This training program will concentrate on a specific assortment of tools meant to collaborate harmoniously to transform you into a versatile and influential data scientist. After gaining all the competencies in data analytics with our 1st and 2nd modules, you will receive comprehensive training in data science with the 3rd and 4th modules.
Python Programming for Data Science (4 weeks). This module includes the essential competencies necessary for a quick entry into the world of data science and provides fundamental knowledge for your data science career journey. Through this training, you will learn about the most widely used libraries in the field of data science, such as Pandas, Numpy, Matplotlib, and Seaborn.
This course will give you a hands-on introduction to data analytics. It was written by the people who make our Data Analytics Program. You'll look at a real dataset to figure out how to solve a business problem. You'll start by cleaning the data and end with visualization and conclusions. If you are new to data analytics and want to learn more, this is a great place to start.
This program covers commonly used data science tools. You will learn advanced data analysis, statistical topics, feature engineering, machine learning, natural language processing, MS SQL queries, Spark machine learning, production-level data science, Power BI, and other subjects.
The AWS Cloud Fundamentals training program will last for 6 weeks and will cover the following topics: Introduction to networking, Introduction to Linux, Use of fundamental AWS services and cloud architecture. The aim of this program is to provide participants with comprehensive knowledge about AWS cloud technologies and basic architectures. During this time, participants will learn how to deploy and manage applications using the powerful AWS services.
We design students' career paths from the ground up. We prepare them for work by following a systematic program that includes everything from selecting the right course to providing quality education and teaching soft skills.
The 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.
With our success-based tuition model, we aim to make high-quality coding education more accessible to aspiring IT professionals, no matter their financial situation. For each of our programs, there are two different ways to cover your bootcamp tuition.
Funding Available
Funding Available
As euroTech Study, we remove the financial constraints that stand in the way of your ideal IT profession. You can pay by credit card, bank transfer, PayPal, or choose from several installment options. Furthermore, if you meet the prerequisites, you can enroll in our courses for free with an educational voucher (bildungsgutschein).
The cost of a bootcamp varies depending on the financing method you select and whether you qualify for any education vouchers. Tuition payments are not due until you have begun the program. Do you have financial concerns? Pick the form below to contact a Learning Advisor.
Students who complete the course and pass the final exam successfully will be eligible to receive a certificate. The document testifies to future or potential employers the acquisition of precise coding skills in accordance with the selected course. Expect this to become a staple of your tech-related CV or professional profile.
Our application process is designed to guide you, gently but clearly, into the course you want to take. Just follow these three steps:
Fill in our Application Form with your personal details and get immediate access to the coding challenge.
To measure your skills for the course you are applying for, book a time slot that suits you from our education consultant's calendar.
Take a 30-minute online quiz and prove your skills. If you're just starting out, don't worry. This exam only aims to find out your current level..
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