Data Science Training Program

If you are eager to thrive in the data-driven world and master one of the most trending professions, then this expert-led program is what you need.

By participating, you will have the opportunity to:

• Gain a strong foundation in software engineering
• Dive deep into statistics and data analysis
• Learn regression, classification and clustering techniques
• Explore deep learning and neural network basics

After completing this program, high-performing candidates may be offered opportunities to further their learning based on their level, skills, and available positions at EPAM.

Please note that the program start date may change. The selection period will adjust accordingly. Please check the program details frequently.

The program consists of two stages:

1. The first one lasts 3 months and requires ~12 hours of weekly engagement. You will explore self-study materials, complete assigned tasks and discuss your questions with our mentors at regular weekly Q&A sessions.
2. If you show good results in the first stage and successfully pass a technical interview, we will invite you to the next stage. It usually lasts 3.5 months and requires ~20 hours of weekly engagement. You will join one of the proposed mentoring programs: Computer Vision, Natural Language Processing, ML Engineering, Time Series or Recommendation Systems.

Data Science is a promising IT area that lies at the intersection of math, statistics, programming and domain expertise and helps get valuable data insights.

How to get started?

1. Register on this page. Once you fill in all the required fields and attach the CV, you will find the confirmation with more details in your mailbox or notifications tab.
2. Specify your interest in this program in your profile's "Additional information" section. Please indicate the reasons for choosing this training and your expectations.
3. Take an English test available in your profile. You should complete it within 3 days after the registration and reach the B2 English level result or higher to proceed.
4. Pass an entry technical test available in the "My enrollments" section. You should take it within 3 days after the registration and reach a minimum score of 60% upon completing two parts of the test.
5. Communicate with a recruiter by phone. We will contact you within 1-3 weeks after you pass all tests to ask some general questions and guide you through the next steps.
6. Pass an online technical exam in October. The date and time will be the same for all participants and be provided to you in a separate email.
7. Receive an invitation to the program. We will inform you of the enrollment results and share further instructions for your learning journey during 1-2 weeks after the technical exam.

Please check your profile's mailbox regularly to make sure you get all important notifications.

What is required for training:

• English level B2 or higher
• Proficiency in mathematical analysis (main topics of derivatives, integrals, extrema of functions in multidimensional real space)
• Skills in linear algebra (vectors, matrices, tensors, linear equations, eigenvalues and eigenvectors, quadratic forms)
• Knowledge of probability theory (definition of probability, conditional probability, Bayes theorem, expectation)
• Command of statistics (basic concepts, hypothesis testing, concept of likelihood, estimation of distribution parameter)
• Understanding of basic optimization concepts and methods (stationary points, Lagrange multipliers, gradient descent)
• Knowledge of data structures and algorithms (sorting algorithms, algorithm complexity)
• Familiarity with Python fundamentals (NumPy and Pandas in particular)