Learn an in-demand Tech&AI profession from zero in 14 months + 2-4 months of internship

We help you get all the skills you need, put together projects for your CV, and get your first job in Tech&AI

Average salary of Data Science - Data Science for Marketing

After the course you will be able to take a position as a junior developer and grow further

JuniorAfter the course
€30.000per year
Mid-Level SalaryAfter the course
€55 000per year
Senior SalaryAfter the course
€70 000per year

Data Science - Data Science for Marketing Course Outline

Unlock the power of Data Science with our comprehensive program designed for aspiring data analysts, marketers, and AI specialists. This course covers everything from Python programming, statistics, and machine learning to advanced AI techniques, NLP, and cloud computing.
250hours
64hours of practicum
updated in2026

This module consists of 8 lessons. You will learn key concepts of fundamentals of statistics and data analysis. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 10 lessons. You will learn key concepts of programming for data science (python & r). The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 12 lessons. You will learn key concepts of introduction to machine learning. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 8 lessons. You will learn key concepts of data storage and big data processing. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 8 lessons. You will learn key concepts of deep learning and artificial intelligence. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 8 lessons. You will learn key concepts of advanced analytics and data visualization. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

This module consists of 6 lessons. You will learn key concepts of final project: data science in practice. The module includes hands-on exercises, business cases, and tools application. By the end, you will be ready to use these skills in real projects.

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Answering the questions

The time you need to devote to studying depends on your chosen program and your personal goals. On average, students spend around 6-10 hours per week on lessons, assignments, and projects. However, the flexibility of our programs allows you to adjust your schedule based on your availability and learning pace.

The training is conducted on an intuitive and easy-to-use online platform, where students can access lessons, assignments, and resources. The platform also offers opportunities for live interactions with instructors and classmates through webinars, discussions, and group projects. It is accessible from any device, allowing you to study at your own convenience.

Our program follows a blended learning approach, with 40% of the training conducted offline at our school and 60% on our online platform. This structure ensures hands-on experience and networking opportunities while maintaining the flexibility of online learning.

Here's what you need: а computer with a 1.8 GHz or higher dual-core processor and 4 GB or more of RAM. Windows 7 (or higher) or macOS 10.13 (or higher) operating system.

At Facultét, we use the widest range of cutting-edge tools and software, ensuring students gain hands-on experience with the most advanced technologies available. Our courses cover digital marketing, business analytics, programming, and software development, so the tools vary by specialization.

For digital marketing, we work with:

  • Google Analytics, Google Ads, Facebook Ads Manager, SEMrush, Ahrefs, HubSpot, WordPress – for data analysis, advertising, and content management.
  • Canva, Figma, Adobe Creative Suite – for design and branding.
  • Mailchimp, Klaviyo, ActiveCampaign – for email marketing automation. For development and data analysis, students work with:
  • Python, SQL, JavaScript, Git – for programming and data science.
  • Google Sheets, Excel, Power BI – for business analytics and reporting.
  • Cloud platforms (AWS, Google Cloud, Azure) – for cloud computing.