Learning path
Master both the technical and strategic aspects of data engineering
ENROLL ANYTIME
Start when you're ready
DURATION
9 months, Online
PRICE
EUR 6800
EUR 5200
CONTENT
4 Courses
Your journey starts with the earliest course available after enrolment.
Learning outcomes
- Master the Full Data Lifecycle: Gain in-depth knowledge of the entire data lifecycle through a structured learning path tailored to aspiring and current data engineering professionals.
- Understand Data at the Organizational Level: Learn to interpret and manage data from a strategic perspective with the DAMA Data Management Fundamentals certification course.
- Enhance Your Data Pipeline Expertise: Strengthen your skills in designing and managing data pipelines by completing DAMA specialization paths in Data Quality and Data Integration & Interoperability.
- Advance as a Senior Data Science Professional: Acquire and apply the latest, most widely used techniques in data analysis to position yourself as a senior expert in data science.
- Build In-Demand Data Visualization Skills: Develop the ability to present data effectively—an increasingly essential skill across all data-related roles.
- Become a Multidisciplinary Data Engineer: Consolidate your capabilities and evolve into a well-rounded data engineer, equipped to navigate the rapid changes in technologies and market demands.
Learning journey
With the Certified Data Governance and Data Quality Specialization learning path, you’ll develop the essential skills to drive data quality initiatives and implement robust governance frameworks across your organization.
01 · Data Management Fundamentals
This course offers a thorough preparation across all key disciplines of data management, following the DAMA International framework and the DMBoK 2nd edition
02 · Data Quality Specialist
This course offers a practical and theoretical overview of Data Quality principles, aligned with DAMA International’s Data Management Body of Knowledge (DMBoK2). It is designed for professionals preparing for the CDMP Data Quality Specialist certification and for those working on data validation, assessment, and improvement initiatives.
03 · Data Integration and Interoperability Specialist
This course, “Data Integration and Interoperability,” offers an in-depth exploration based on the DAMA DMBoK 2nd edition, covering foundational principles, key concepts, business drivers, and technical processes such as ETL, data replication, and archiving.
04 · Data Science Methods
This course provides a practical foundation in data science, guiding participants through predictive modeling, machine learning, and data visualization to help them collect, analyze, and leverage data in support of their organizational goals.
05· Mastering Data Visualization
This course empowers you to master data storytelling and visualization by combining data analysis, design, and communication skills to create impactful reports, dashboards, and infographics that enhance data understanding across organizations.
Why enroll in this course?
From Data Management to Data Science: A multidisciplinary path covering key domains to equip you for diverse data roles.
Specialization in Data Integration and Interoperability: Prepares you for the DAMA certification and success in data engineering.
Hands-On Experience with Real-World Use Cases: Practical training from industry experts through exercises and case studies.
Integrated, Synergistic Competencies: Build a flexible skill set to adapt to evolving technologies and market demands.
Course overview
Learning experience
Multidisciplinary Approach
A training path rooted in data engineering, but framed within a broader vision of data as part of a more complex, strategic enterprise commitment.
Data Management and Data Science, Together
For the first time, two disciplines often treated separately are combined in a single learning path—designed to train well-rounded, 360-degree data professionals.
DAMA Certifications
The course prepares you for the CDMP certification exams in Fundamentals, Data Quality, and Data Integration and Interoperability
Who is it for?
- Data Engineers looking to consolidate their experience and expand into related disciplines.
- General Data Management Experts aiming to integrate skills in data science, data visualization, and data engineering.
- Data Scientists, Visualization Experts, and Engineers seeking to understand the crucial domain of data governance and management.
- All Data Professionals who want a unified training path that combines the core principles of data management with specialized skills in data handling and visualization.
A course of
FIT Academy Professional Education in numbers
Presence in the UK, Italy, Spain,
Saudi Arabia & South America
Past Participant Profile
Participants of the Professional Certificate Program in Digital Transformation have a wide range of backgrounds, industries, and experiences. This diversity within the cohort guarantees that you’ll engage with like-minded professionals while also gaining fresh insights to tackle your organization’s specific challenges.
Average years of work experience
- Less than 10 years: 33%
- 10-15 years: 38%
- 16-20 years: 19%
- More than 20 years: 10%
Top industries
- IT/Computers
- Technology/Telecom
- Consulting
- Financial Services
- Government
- Manufacturing
Top functions
- Data Architect
- Data Manager
- Data Scientist
- Data Analyst
- Data Visualization Specialist,
- Data Engineer
Frequently asked questions
What Is the Data Engineering Learning Path?
This learning path is focused on data engineering training as a key pillar of technical data management. It equips professionals to ensure the availability, reliability, and seamless flow of data throughout its entire lifecycle.
How Is This Learning Path Structured?
The program includes 5 courses totaling over 60 hours of training, offering a multifaceted approach to data education. It begins with the fundamentals of data management, advances through the DAMA specialization in Data Integration and Interoperability, and concludes with a focused course on Data Visualization.
How Does This Learning Path Benefit Data Engineers?
First and foremost, the learning path helps data engineers strengthen their existing expertise through the DAMA specialization, which provides a solid foundation in best practices and core concepts of the discipline. In addition, the other courses broaden the professional’s perspective and skill set, offering complementary and synergistic viewpoints on data such as the organizational perspective through the Data Management Fundamentals course. Together, these modules equip data engineers with a more holistic and strategic approach to data, making them more versatile and valuable in an evolving data landscape.
I’m Not a Data Engineer but I Work in Data Analysis. Is This Course Useful for Me?
Absolutely yes. This program is designed with a multidisciplinary approach, making it ideal for professionals who want to broaden their expertise. If you’re involved in data analysis, the course will help you enhance your skills in data visualization, making your insights more impactful and accessible. It will also allow you to develop a deeper understanding of data quality management, which in turn improves the reliability and effectiveness of your analyses. In short, it’s a valuable
I Work in Data Management, but I’m Interested in the Program — Does It Make Sense for Me to Join?
Absolutely. If you’re already working in data management, this learning path offers a great opportunity to reinforce your existing knowledge and, if you haven’t done so yet, pursue DAMA certifications by preparing for and passing the relevant exams. In addition, the program allows you to expand your skill set by exploring areas closely connected to your field—such as data engineering, data science, and data visualization—giving you a more complete and future-ready professional profile.