Data Science Trainee

EPAM Campus offers a free Data Science training program to help participants gain market-oriented hard and soft skills alongside IT professionals.

Description

In this intensive course, participants will study statistics and data analysis; regression, classification and clustering techniques; and neural network basics.

The program lasts approximately 4 months and requires approximately 15 hours of engagement per week. Completion does not guarantee a job, but provides a foundation to enter the profession confidently.

Requirements

General requirements:

• Available to citizens and permanent residents of Poland
• Second-to-last or final-year university students and recent graduates
• Aged 18 years or older

Skills requirements:

• English level B2 (Upper-Intermediate) or higher
• Strong knowledge of Python, including the NumPy and Pandas libraries
• Proficiency in mathematical analysis: derivatives, integrals and extrema of functions in multidimensional real space
• Linear algebra skills: vectors, matrices, tensors, linear equations, eigenvalues and eigenvectors, and quadratic forms
• Probability theory knowledge: probability definition, conditional probability, Bayes theorem and expectation
• Statistics knowledge: basic concepts, hypothesis testing, likelihood and distribution-parameter estimation
• Understanding of optimization concepts and methods: stationary points, Lagrange multipliers and gradient descent
• Knowledge of data structures and algorithms: sorting algorithms and algorithm complexity

Nice to have:

• Polish fluency at C1 (Advanced) level or higher

Benefits

• Free access to materials and resources designed and regularly refreshed by practitioners
• Intensive, hands-on training through numerous practical assignments
• Regular guidance and actionable feedback from professionals
• Modern educational ecosystem supported by built-in AI tools
• Certificate of completion upon successfully fulfilling all certification requirements
• Opportunity to join the team after successfully completing all stages