Data Science and Machnie Learning
Why ATL Academy?
By the end of the course, you will acquire skills in working with the Python programming language, data structures, and data processing and visualization technologies such as Pandas, NumPy, Plotly, Matplotlib, and Seaborn. Additionally, you will gain expertise in applying key machine learning algorithms.
Throughout the course, you will learn topics like linear and logistic regression, cluster analysis, decision trees, boosting, and bagging algorithms. You will also gain hands-on experience by working on real-life projects, enabling you to build a strong practical foundation.
The curriculum is designed with 60% practical sessions and 40% theoretical lessons. By the end of the program, you will have developed a professional portfolio consisting of 7 real projects.


6 months

110 lessons

Certificate

Azerbaijan language
All our courses include

Career planning
ATL Academy supports students by conducting personal consultation, development training, test technical and behavioral interviews on many topics, starting with choosing the right study program, acquiring professional skills (time management, proper communication, etc.) and job search.

Mentor support
In ATL Academy, in addition to weekly theoretical classes, weekly practical sessions are held by a team of professional programmers from ATL Tech, who constantly answer students' questions throughout the curriculum and help them when difficulties arise.

Employment opportunity
CVs and portfolios of each graduate and final-month student are first evaluated for employment by ATL Tech's Human Resources department and forwarded to other relevant companies.

Internship program
Academy graduates get an opportunity to intern at ATL Tech. The Academy, in addition to its graduates, also provides an internship program to those who want to build a career in the field of programming as a result of the technical examination.
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