Baigiamasis darbas
Total study duration: 10 ac. h.
Time for task solving: 7 ac. h.
Number of lectures: 4
Calendar
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Group program
Baigiamasis darbas
Duomenų analitikos baigiamojo projekto pristatymas.
Courses
Certificates
- Every student who completes at least one module is certified with a Datacademy "successful completion" certificate.
- Datacademy provides additional free consultations until the professionals, experts and researchers who complete the courses acquire international Microsoft certifications and LinkedIn skill assessments.
- Students who have completed at least 3 module programs and scored more than 40 points are certified according to the final course evaluation:40+ = "Specialist"80+ = "Professional" 90+ = "Expert"100 = "Scientist"
Student feedback

Datacademy training became an extremely valuable experience that helped me not only to get acquainted, but also to truly discover the field of data analytics. During the course, SQL, Power BI and Python modules are taught in detail, the lectures are presented consistently and clearly. In the training, theory is always combined with practice, and the abundance and variety of tasks helped me better absorb the material and understand how to apply it in real situations.
The lectures were not only informative, but also interesting, the teachers were able to explain complex topics simply, understandably, clearly and with a sincere desire to help. The atmosphere of the training was cozy and motivating - there was a common desire to grow and improve.
Thanks to these courses, I gained a lot of valuable knowledge and practical skills, which gave me more confidence in working with data. I strongly recommend Datacademy to everyone looking for high-quality, practice-oriented training and who wants a solid foundation in the field of data analytics.

The courses were extremely comprehensive, deep and intensive – each topic was covered consistently and with clear practical application. The teaching style was engaging from the very first lecture, which was lively, dynamic and full of real, interesting examples. I especially liked the fact that the lecturers encouraged thinking broadly, asking questions and discussing. These courses really enriched my knowledge and provided a lot of valuable knowledge and skills that can be applied in practice.

Having come to DATACADEMY courses, I began my journey in the field of data analytics. I am happy with the path I have taken and the knowledge I have gained. It is amazing that the courses were conducted by teachers who are attentive to the abilities of the students. I recommend that those who want to start their data analytics journey start with DATACADEMY teachers. I thank my mentors: Benediktas, Artūras, Giedrius. Thank you!

I would recommend data analytics courses because of their exceptional contribution to my professional growth. These courses not only helped me deepen my data analysis skills, but also fundamentally changed my approach and thinking model when generating ideas. I am now much more effective in analyzing data and making decisions.

To become a data scientist, the course gives you everything you need and more, both in terms of material and information. The pace is fast, so you need to come prepared to work hard if you want to leave with a lot of money, because absorbing such a large amount of information in four weeks can be difficult for a completely fresh participant. I feel satisfied with the results of the course and am glad that I decided to participate in it, I recommend it :) Very friendly, welcoming team, always willing to help and answer questions.

If you are thinking about data analytics courses, I recommend these, because they are taught by competent professionals in their field. The courses are intensive, but they professionally balance theory and practice, provide clear and systematic information, and give time and attention to each participant's question, so after the courses you can confidently expand your knowledge independently. Thank you!
Teachers

Rolandas Rimkevičius
Full Data Analytics Course, Full Data Engineering Course, SQL module, Power BI module, Python module, Power Apps module, Power Automate module, Power Shell module




