Meet your instructors

Being accomplished Data Analysts themselves, the Curriculum Team is an experienced group of Data and Career instructors

Marvin Lomo
Data Science Lead Trainer

MIT-trained data scientist and enterprise applications developer with 5+ experience in SAP-ERP, Python, R, PowerBI, SAP Analytics Cloud, Linux and Databases.

Janet Ekoh
Senior Trainer & Team Lead

5 years experience in Software Development & Cloud. AWS Certified Instructor

Robert Njuguna
Head of Engineering / Lead DevOps Engineer

Worked in the IT industry for more than 15 years. Well-versed in Python, Linux administration, Azure Cloud, Docker, Ansible, DevOps and CI/CD processes.

Gideon Sackey
Head of Career Centre

Your career is your own unique mansion - estimate the cost; lay the foundation and continuously strive to finish.

Become the Data Analyst that companies stand in line for

Online | 9-month duration | Time investment: 25 hours per week

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Are you looking to land a well-paid remote job in data analytics? Then this program is for you. By joining the Azubi Data track program, you will gain skills that will make you stand out in the job market. Lessons from our experienced tutors and mentors while working on projects with real-life situations will give you experience. The opportunities are endless when it comes to data analysis. The best part is that you can work remotely from anywhere worldwide. If you are considering a career change, recently graduated from college, or are a mid-career IT professional, we recommend registering for the data track program.

Jobs to apply for

Data Engineer

Data preparation for analytical or operational usage is the primary responsibility of a Data Engineer. In addition, these software engineers are often in charge of constructing data pipelines to combine data from various source systems.

Data Scientist

A data scientist uses information to comprehend, explain, and aid businesses' decision-making. Being a data scientist may be intellectually demanding and analytically fulfilling, and it can put you at the cutting edge of new technological developments.

Business Analyst

Business analysts analyze recent and historical business data with the primary objective of enhancing organizational decision-making procedures.

Meet your instructors

Being accomplished Data Analysts themselves, the Curriculum Team is an experienced group of Data and Career instructors

Marvin Lomo
Data Science Lead Trainer

MIT-trained data scientist and enterprise applications developer with 5+ experience in SAP-ERP, Python, R, PowerBI, SAP Analytics Cloud, Linux and Databases.

Janet Ekoh
Senior Trainer & Team Lead

5 years experience in Software Development & Cloud. AWS Certified Instructor

Robert Njuguna
Head of Engineering

Worked in the IT industry for more than 15 years. Well-versed in Python, Linux administration, Azure Cloud, Docker, Ansible, DevOps and CI/CD processes.

Gideon Sackey
Head of Career Centre

Your career is your own unique mansion - estimate the cost; lay the foundation and continuously strive to finish.

Want to know 6 steps to become a Data Analyst?

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Land your job before paying back

Your repayment rate will be 15% of your monthly income until you have paid the tuition fees of € 1,890. Once we have accepted your application, we will ask you to pay an enrollment fee of €19. The enrollment fee will be deducted from the total tuition amount.

Learn more

Minimum requirements

You should meet the following requirements to be eligible for this course.

Qualification

Familiarity with basic technical knowledge of computer systems and general computing concepts

Determination, dedication & commitment

Compliance with our Azubi Core Values Actively seeking full-time employment

Age

Minimum age - 18 years University Degree recommended

Communication Skills

Good English skills - speaking, reading & writing

Hardware

A laptop, uninterrupted internet connection

Valid ID

National ID, Passport

Frequently asked questions

Applications are open. Click Apply Now to begin your journey

You will be assigned a facilitator, and you can reach out to them.

You have contact hours with your facilitator. See course curriculum and schedule.

The programme is live with self-study times.

The programme is nine months long; it is 3-months curriculum based; after that, you enter a 6-month project phase. See product pages for more detail.