Our training courses in
Big Data & Data Science in Germany

Data science courses teach learners how to analyze and interpret data to gain insights. These programs focus on:

• Programming: Skills in Python, R, or SQL.
• Data Analysis: Statistical methods and data visualization.
• Machine Learning: Building predictive models.

Designed for aspiring data professionals or those seeking data-driven skills in industries like finance or healthcare, these courses provide the tools needed for today’s data-centric careers.

• A Data Scientist is a professional who transforms raw data into actionable insights using statistical methods, programming, and machine learning techniques. They work across industries like healthcare, finance, and technology, helping businesses make data-driven decisions. With the rise of Big Data and AI, the demand for skilled Data Scientists has grown exponentially.

  At DataScientest, our data science courses prepare learners for this dynamic field by offering comprehensive training in data manipulation, analysis, and predictive modeling.

The data science courses at DataScientest are designed to cater to diverse learning needs and schedules. The training is available in:

• Bootcamp format: An intensive learning experience, ideal for participants looking to fast-track their data science careers.
• Part-time format: A flexible option that fits around professional or personal commitments.

All courses are 100% online, providing learners with access to live sessions, expert mentoring, and hands-on projects from anywhere in the world.

The enrollment process for DataScientest’s data science courses is simple and efficient:

1. Application: Select the course that matches your career goals and fill out the online form.
2. Consultation: The Admissions Team will contact you within 48 hours to discuss your objectives and recommend the best course for you.
3. Assessment: Depending on the chosen program, you may be required to complete a technical test to ensure your readiness.
4. Admission: Once accepted, you can finalize your registration by completing the administrative steps and securing your place.

This process ensures that each participant is matched to the most suitable training program.

Registration deadlines for DataScientest’s data science courses depend on the program and financing method:

• Self-funded or Employer-funded: Registration can be completed up to the day before the course starts, subject to availability.
• Government-funded: Allow extra time for processing approvals, typically several days in advance.

To guarantee your spot and ensure timely preparation, we recommend registering as early as possible.

The data science courses at DataScientest are accessible to learners with varying levels of experience. Prerequisites vary depending on the course:

• For advanced courses (e.g., Data Scientist or Machine Learning Engineer), a background in mathematics, programming, or a related field is recommended.
• For introductory courses, no prior experience is required, but an interest in data and a willingness to learn are essential.

These prerequisites ensure that participants are equipped to engage with the content effectively and maximize their learning outcomes.

Yes, DataScientest provides personalized support across all its data science courses. Learners benefit from:

• Access to expert tutors who guide them through technical challenges.
• Regular interactions via live chats, video calls, and dedicated forums.
• Tailored feedback during Masterclasses and project evaluations.

This support ensures that participants from diverse backgrounds can progress confidently and achieve their learning goals.

All DataScientest programs include a capstone project designed to consolidate the skills learned. These projects allow learners to:

• Work on real-world data challenges, applying theories to practical scenarios.
• Develop a portfolio-ready project to showcase to employers.
• Gain hands-on experience that bridges the gap between learning and the job market.

For example, the Data Scientist and Data Analyst courses feature extensive capstone projects to ensure graduates are industry-ready.

DataScientest evaluates participants across all programs through a combination of:

• Performance in professional scenarios, testing real-world applications of skills.
• Engagement in live Masterclasses, where active participation is measured.
• Feedback on capstone projects, which assess both technical and problem-solving abilities.

This comprehensive evaluation ensures that learners master both the theoretical concepts and practical skills essential for success.

Yes, soft skills are integrated across DataScientest’s programs. These include:

• Teamwork and collaboration in project settings.
• Communication skills for presenting data insights effectively.
• Problem-solving and critical thinking, crucial for data-driven decision-making.

By combining soft skills with technical expertise, DataScientest ensures learners are well-rounded professionals, ready to excel in any workplace.

The key differences between DataScientest’s programs and university degrees are:

• Practical focus: DataScientest emphasizes hands-on training with real-world projects, while universities often prioritize theoretical concepts.
• Flexibility: Courses at DataScientest are offered online, allowing learners to balance studies with work or personal commitments.
• Industry alignment: Programs are tailored to meet current job market needs, ensuring participants gain relevant, in-demand skills.

These distinctions make DataScientest’s programs ideal for those seeking a career-focused learning experience.

All DataScientest programs are conducted in English, French, German, and Spanish, making them accessible to a truly international audience. This multilingual approach allows learners from around the world to:

• Collaborate with peers from diverse backgrounds.
• Gain global perspectives on data science.
• Enhance their employability in various local and international markets.

With courses available in multiple languages, DataScientest ensures that participants can learn in the language they are most comfortable with, fostering a more inclusive learning environment.

By completing DataScientest’s data science courses, participants will acquire:

• Expertise in programming languages such as Python and R for data analysis and modeling.
• Proficiency in machine learning, deep learning, and advanced statistical techniques.
• Practical skills in data wrangling, including cleaning, transforming, and preparing datasets for analysis.
• Mastery of data visualization tools like Tableau, Matplotlib, and Seaborn to effectively communicate findings.
• Experience working with Big Data and cloud technologies.

These skills are designed to meet the demands of various industries, ensuring learners are job-ready across a wide spectrum of roles.

The data science courses offered by DataScientest provide skills that are highly transferable to other fields:

• In marketing, data analysis can optimize advertising strategies and track campaign performance.
• In finance, predictive models help with risk assessment and investment planning.
• In healthcare, insights derived from data improve patient care and operational efficiency.

Whether transitioning to a data-driven role or enhancing an existing profession, these courses equip participants with tools to make informed decisions based on data.

Graduates of DataScientest’s data science courses can pursue roles such as:

• Data Scientist: Solving complex problems through data analysis and machine learning.
• Machine Learning Engineer: Creating and deploying AI-driven solutions.
• Data Engineer: Managing and optimizing data pipelines and systems.
• Business Analyst: Using data insights to guide strategic decisions.

Industries like tech, finance, retail, and healthcare actively seek professionals with these qualifications, offering excellent career prospects.

The salaries for roles related to data science are competitive and grow with experience:

• Entry-level positions start at €35,000 to €45,000 per year.
• With 4–5 years of experience, professionals earn between €50,000 and €70,000 annually.
• Advanced or senior-level positions often surpass €100,000 annually, especially in specialized fields like AI and Big Data.

These figures demonstrate the financial potential of acquiring data science expertise.

Yes, DataScientest offers comprehensive career services for all participants:

• Assistance with resume creation and LinkedIn profile optimization.
• Personalized career coaching to prepare for interviews.
• Access to the DatAlumni network, a community of graduates and industry professionals.

These resources are designed to help participants secure roles in the competitive data science job market, both during and after their courses.

To ensure participants stay ahead in the rapidly evolving field of data science, DataScientest provides:

• Membership in the DatAlumni community, which hosts webinars, workshops, and events.
• Opportunities for continuous learning, including advanced certifications and specialized programs.
• Recommendations for participating in industry conferences and accessing relevant research publications.

This ecosystem supports lifelong learning, ensuring that learners remain industry-relevant throughout their careers.

The certifications and diplomas offered through DataScientest’s data science courses are highly recognized and valuable in the professional world. Upon completion, learners can obtain:

• Certificates for each successfully completed module, which can be shared on LinkedIn to showcase your progress and skills.
• A Certificate of Achievement from DataScientest, confirming your expertise.
• Certificates from the Sorbonne University in Paris, ranked among the top 50 universities globally, providing strong academic recognition.
• The opportunity to earn an AWS Cloud Practitioner Certification, enhancing your qualifications in cloud-based technologies.

These certifications demonstrate your proficiency in data science and give you a competitive edge in the global job market.

DataScientest collaborates with over 500 companies, including Allianz, BNP Paribas, AXA, Orange, and Stellantis, to address the data science skills gap. These partnerships support learners in their career transitions and provide access to mentors, internships, and job opportunities.

In addition to major corporations, DataScientest works with StartSteps and IamExpat to expand career support and opportunities. This approach ensures that participants are fully prepared to excel in their data science careers and land their dream jobs.

The DatAlumni community is a dynamic network connecting graduates from DataScientest’s programs. It offers:

• Exclusive events, such as webinars, industry meetups, and expert-led workshops.
• Networking opportunities with peers and professionals from various industries.
• Access to learning resources to stay updated on the latest data science tools and technologies.
• A platform to showcase your certifications and achievements, helping you advance in your career.

By joining DatAlumni, learners benefit from ongoing professional growth and maintain strong connections within the data science ecosystem.

DataScientest offers several flexible funding options to make its programs accessible to all learners:

• Education Voucher: If you are unemployed, job-seeking, or at risk of redundancy, you may qualify for an education voucher. This covers the full cost of the training, funded by the employment agency.
  • Download the complete guide for the education voucher
• Self-Payment: You can choose to cover the training costs yourself. If a lump-sum payment isn’t feasible, you can opt for monthly installments, starting at just €267.06 per month.
• Employer-Sponsored Payment: Employees can discuss with their employers the possibility of partial or full funding of the training.
  • Download the guide for your employer discussion
• Qualification Opportunities Act: Introduced in 2019, this initiative provides financial support for employers to develop their workforce. The employment agency contributes to both training costs and employee wages, particularly for those affected by structural changes or seeking career advancement.
  • Learn more about this initiative here

These options ensure that learners can focus on their career goals without financial barriers.

Yes, DataScientest is committed to providing equal opportunities for learners with disabilities. From the application stage, the program identifies candidates requiring accommodations and works to ensure:

• Tailored support to meet individual needs.
• Necessary adjustments to enable a comfortable learning experience.
• Guidance throughout the process to facilitate participation.

DataScientest aims to create an inclusive environment, ensuring that everyone can achieve their learning objectives.